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dev_design
Author | SHA1 | Date |
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mh | e32f4b0f5f | 6 months ago |
89 changed files with 554 additions and 4342 deletions
@ -1,199 +0,0 @@ |
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-- 2024-05-07 维修表缺少字段 |
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ALTER TABLE maintain_info |
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ADD cost numeric(2, 0) NULL; |
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EXEC sys.sp_addextendedproperty 'MS_Description', N'材料费用', 'schema', N'dbo', 'table', N'maintain_info', 'column', N'cost'; |
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ALTER TABLE maintain_info |
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ADD contents varchar(100) NULL; |
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EXEC sys.sp_addextendedproperty 'MS_Description', N'维保内容', 'schema', N'dbo', 'table', N'maintain_info', 'column', N'contents'; |
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ALTER TABLE maintain_info |
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ADD evaluate varchar(10) NULL; |
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EXEC sys.sp_addextendedproperty 'MS_Description', N'评价内容', 'schema', N'dbo', 'table', N'maintain_info', 'column', N'evaluate'; |
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-- 训练集合: |
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begin tran |
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insert into history_data_pre(cur_date,building_id,water_value,elect_value,water_level,env_min_temp,env_max_temp) |
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select eds.cur_date, |
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eds.building_id, |
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isnull(eds.water_value, |
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0) as water_value, |
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isnull(eds.elect_value, |
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0) as elect_value, |
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isnull(convert(numeric (24, 2), t1.water_level), |
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0) as water_level, |
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th.tempmin, |
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th.tempmax |
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from energy_day_sum eds |
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left join (select convert(date, |
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cur_date) as cur_date, |
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building_id, |
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avg(isnull(convert(numeric (24, 2), water_level), 0)) as water_level |
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from history_data |
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group by convert(date, |
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cur_date), |
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building_id) t1 on |
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eds.cur_date = t1.cur_date and eds.building_id = t1.building_id |
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left join temp_history th |
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on eds.cur_date = th.cur_date |
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where eds.building_id != '所有' |
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order by |
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eds.building_id, |
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eds.cur_date |
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rollback |
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-- 2024-05-09 创建历史预测表 |
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-- 历史水电用量以及预测值 |
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CREATE TABLE history_data_pre |
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( |
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cur_date date NULL, |
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building_id varchar(50) COLLATE Chinese_PRC_CI_AS NULL, |
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env_min_temp numeric(24, 2) NULL, |
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env_max_temp numeric(24, 2) NULL, |
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water_value numeric(24, 2) NULL, |
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elect_value numeric(24, 2) NULL, |
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water_level numeric(24, 2) NULL, |
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id bigint IDENTITY(1,1) NOT NULL, |
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water_value_pre numeric(24, 2) NULL, |
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elect_value_pre numeric(24, 2) NULL, |
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water_level_pre numeric(24, 2) NULL, |
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remark varchar(200) COLLATE Chinese_PRC_CI_AS NULL, |
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CONSTRAINT PK_history_data_pre PRIMARY KEY (id) |
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); |
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EXEC sp_addextendedproperty @name=N'MS_Description', @value=N'历史水电用量以及预测值', @level0type=N'Schema', @level0name=N'dbo', @level1type=N'Table', @level1name=N'history_data_pre'; |
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EXEC sp_addextendedproperty @name=N'MS_Description', @value=N'日期', @level0type=N'Schema', @level0name=N'dbo', @level1type=N'Table', @level1name=N'history_data_pre', @level2type=N'Column', @level2name=N'cur_date'; |
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EXEC sp_addextendedproperty @name=N'MS_Description', @value=N'楼栋编号', @level0type=N'Schema', @level0name=N'dbo', @level1type=N'Table', @level1name=N'history_data_pre', @level2type=N'Column', @level2name=N'building_id'; |
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EXEC sp_addextendedproperty @name=N'MS_Description', @value=N'环境最低温度', @level0type=N'Schema', @level0name=N'dbo', @level1type=N'Table', @level1name=N'history_data_pre', @level2type=N'Column', @level2name=N'env_min_temp'; |
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EXEC sp_addextendedproperty @name=N'MS_Description', @value=N'环境最高温度', @level0type=N'Schema', @level0name=N'dbo', @level1type=N'Table', @level1name=N'history_data_pre', @level2type=N'Column', @level2name=N'env_max_temp'; |
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EXEC sp_addextendedproperty @name=N'MS_Description', @value=N'实际用水量', @level0type=N'Schema', @level0name=N'dbo', @level1type=N'Table', @level1name=N'history_data_pre', @level2type=N'Column', @level2name=N'water_value'; |
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EXEC sp_addextendedproperty @name=N'MS_Description', @value=N'实际用电量', @level0type=N'Schema', @level0name=N'dbo', @level1type=N'Table', @level1name=N'history_data_pre', @level2type=N'Column', @level2name=N'elect_value'; |
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EXEC sp_addextendedproperty @name=N'MS_Description', @value=N'平均水位', @level0type=N'Schema', @level0name=N'dbo', @level1type=N'Table', @level1name=N'history_data_pre', @level2type=N'Column', @level2name=N'water_level'; |
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EXEC sp_addextendedproperty @name=N'MS_Description', @value=N'id', @level0type=N'Schema', @level0name=N'dbo', @level1type=N'Table', @level1name=N'history_data_pre', @level2type=N'Column', @level2name=N'id'; |
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EXEC sp_addextendedproperty @name=N'MS_Description', @value=N'用水量预测值', @level0type=N'Schema', @level0name=N'dbo', @level1type=N'Table', @level1name=N'history_data_pre', @level2type=N'Column', @level2name=N'water_value_pre'; |
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EXEC sp_addextendedproperty @name=N'MS_Description', @value=N'用电量预测值', @level0type=N'Schema', @level0name=N'dbo', @level1type=N'Table', @level1name=N'history_data_pre', @level2type=N'Column', @level2name=N'elect_value_pre'; |
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EXEC sp_addextendedproperty @name=N'MS_Description', @value=N'平均水位预测值', @level0type=N'Schema', @level0name=N'dbo', @level1type=N'Table', @level1name=N'history_data_pre', @level2type=N'Column', @level2name=N'water_level_pre'; |
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EXEC sp_addextendedproperty @name=N'MS_Description', @value=N'备注', @level0type=N'Schema', @level0name=N'dbo', @level1type=N'Table', @level1name=N'history_data_pre', @level2type=N'Column', @level2name=N'remark'; |
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create index history_data_pre_building_id on history_data_pre (building_id); |
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create index history_data_pre_cur_date on history_data_pre (cur_date); |
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-- 2024-05-09 系统参数表增加天气区域 |
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ALTER TABLE SysParam |
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ADD proArea varchar(100) NULL; |
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EXEC sp_addextendedproperty 'MS_Description', N'天气区域', 'schema', N'dbo', 'table', N'SysParam', 'column', N'proArea'; |
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-- 2024-05-15 热泵使用时间表(月表) |
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CREATE TABLE analysis_runtime_month ( |
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id bigint IDENTITY(1,1) NOT NULL, |
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cur_date varchar(50) COLLATE Chinese_PRC_CI_AS NULL, |
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item_type varchar(50) COLLATE Chinese_PRC_CI_AS NULL, |
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day01 varchar(50) COLLATE Chinese_PRC_CI_AS NULL, |
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day02 varchar(50) COLLATE Chinese_PRC_CI_AS NULL, |
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day03 varchar(50) COLLATE Chinese_PRC_CI_AS NULL, |
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day04 varchar(50) COLLATE Chinese_PRC_CI_AS NULL, |
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day05 varchar(50) COLLATE Chinese_PRC_CI_AS NULL, |
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day06 varchar(50) COLLATE Chinese_PRC_CI_AS NULL, |
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day07 varchar(50) COLLATE Chinese_PRC_CI_AS NULL, |
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day08 varchar(50) COLLATE Chinese_PRC_CI_AS NULL, |
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day09 varchar(50) COLLATE Chinese_PRC_CI_AS NULL, |
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day10 varchar(50) COLLATE Chinese_PRC_CI_AS NULL, |
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day11 varchar(50) COLLATE Chinese_PRC_CI_AS NULL, |
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day12 varchar(50) COLLATE Chinese_PRC_CI_AS NULL, |
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day13 varchar(50) COLLATE Chinese_PRC_CI_AS NULL, |
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day14 varchar(50) COLLATE Chinese_PRC_CI_AS NULL, |
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day15 varchar(50) COLLATE Chinese_PRC_CI_AS NULL, |
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day16 varchar(50) COLLATE Chinese_PRC_CI_AS NULL, |
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day17 varchar(50) COLLATE Chinese_PRC_CI_AS NULL, |
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day18 varchar(50) COLLATE Chinese_PRC_CI_AS NULL, |
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day19 varchar(50) COLLATE Chinese_PRC_CI_AS NULL, |
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day20 varchar(50) COLLATE Chinese_PRC_CI_AS NULL, |
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day21 varchar(50) COLLATE Chinese_PRC_CI_AS NULL, |
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day22 varchar(50) COLLATE Chinese_PRC_CI_AS NULL, |
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day23 varchar(50) COLLATE Chinese_PRC_CI_AS NULL, |
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day24 varchar(50) COLLATE Chinese_PRC_CI_AS NULL, |
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day25 varchar(50) COLLATE Chinese_PRC_CI_AS NULL, |
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day26 varchar(50) COLLATE Chinese_PRC_CI_AS NULL, |
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day27 varchar(50) COLLATE Chinese_PRC_CI_AS NULL, |
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day28 varchar(50) COLLATE Chinese_PRC_CI_AS NULL, |
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day29 varchar(50) COLLATE Chinese_PRC_CI_AS NULL, |
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day30 varchar(50) COLLATE Chinese_PRC_CI_AS NULL, |
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day31 varchar(50) COLLATE Chinese_PRC_CI_AS NULL, |
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total_value varchar(50) COLLATE Chinese_PRC_CI_AS NULL, |
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building_id varchar(50) COLLATE Chinese_PRC_CI_AS NULL |
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); |
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-- 使用时间年表 |
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CREATE TABLE analysis_runtime_year ( |
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id bigint IDENTITY(1,1) NOT NULL, |
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cur_date varchar(50) COLLATE Chinese_PRC_CI_AS NULL, |
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item_type varchar(50) COLLATE Chinese_PRC_CI_AS NULL, |
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month01 varchar(50) COLLATE Chinese_PRC_CI_AS NULL, |
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month02 varchar(50) COLLATE Chinese_PRC_CI_AS NULL, |
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month03 varchar(50) COLLATE Chinese_PRC_CI_AS NULL, |
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month04 varchar(50) COLLATE Chinese_PRC_CI_AS NULL, |
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month05 varchar(50) COLLATE Chinese_PRC_CI_AS NULL, |
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month06 varchar(50) COLLATE Chinese_PRC_CI_AS NULL, |
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month07 varchar(50) COLLATE Chinese_PRC_CI_AS NULL, |
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month08 varchar(50) COLLATE Chinese_PRC_CI_AS NULL, |
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month09 varchar(50) COLLATE Chinese_PRC_CI_AS NULL, |
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month10 varchar(50) COLLATE Chinese_PRC_CI_AS NULL, |
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month11 varchar(50) COLLATE Chinese_PRC_CI_AS NULL, |
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month12 varchar(50) COLLATE Chinese_PRC_CI_AS NULL, |
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total_value varchar(50) COLLATE Chinese_PRC_CI_AS NULL, |
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building_id varchar(50) COLLATE Chinese_PRC_CI_AS NULL, |
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building_name varchar(50) COLLATE Chinese_PRC_CI_AS NULL, |
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CONSTRAINT analysis_runtime_year_id PRIMARY KEY (id) |
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); |
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-- Extended properties |
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EXEC sp_addextendedproperty @name=N'MS_Description', @value=N'序号', @level0type=N'Schema', @level0name=N'dbo', @level1type=N'Table', @level1name=N'analysis_runtime_year', @level2type=N'Column', @level2name=N'id'; |
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EXEC sp_addextendedproperty @name=N'MS_Description', @value=N'日期', @level0type=N'Schema', @level0name=N'dbo', @level1type=N'Table', @level1name=N'analysis_runtime_year', @level2type=N'Column', @level2name=N'cur_date'; |
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EXEC sp_addextendedproperty @name=N'MS_Description', @value=N'类型', @level0type=N'Schema', @level0name=N'dbo', @level1type=N'Table', @level1name=N'analysis_runtime_year', @level2type=N'Column', @level2name=N'item_type'; |
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EXEC sp_addextendedproperty @name=N'MS_Description', @value=N'1月用量或比值', @level0type=N'Schema', @level0name=N'dbo', @level1type=N'Table', @level1name=N'analysis_runtime_year', @level2type=N'Column', @level2name=N'month01'; |
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EXEC sp_addextendedproperty @name=N'MS_Description', @value=N'2月用量或比值', @level0type=N'Schema', @level0name=N'dbo', @level1type=N'Table', @level1name=N'analysis_runtime_year', @level2type=N'Column', @level2name=N'month02'; |
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EXEC sp_addextendedproperty @name=N'MS_Description', @value=N'3月用量或比值', @level0type=N'Schema', @level0name=N'dbo', @level1type=N'Table', @level1name=N'analysis_runtime_year', @level2type=N'Column', @level2name=N'month03'; |
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EXEC sp_addextendedproperty @name=N'MS_Description', @value=N'4月用量或比值', @level0type=N'Schema', @level0name=N'dbo', @level1type=N'Table', @level1name=N'analysis_runtime_year', @level2type=N'Column', @level2name=N'month04'; |
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EXEC sp_addextendedproperty @name=N'MS_Description', @value=N'5月用量或比值', @level0type=N'Schema', @level0name=N'dbo', @level1type=N'Table', @level1name=N'analysis_runtime_year', @level2type=N'Column', @level2name=N'month05'; |
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EXEC sp_addextendedproperty @name=N'MS_Description', @value=N'6月用量或比值', @level0type=N'Schema', @level0name=N'dbo', @level1type=N'Table', @level1name=N'analysis_runtime_year', @level2type=N'Column', @level2name=N'month06'; |
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EXEC sp_addextendedproperty @name=N'MS_Description', @value=N'7月用量或比值', @level0type=N'Schema', @level0name=N'dbo', @level1type=N'Table', @level1name=N'analysis_runtime_year', @level2type=N'Column', @level2name=N'month07'; |
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EXEC sp_addextendedproperty @name=N'MS_Description', @value=N'8月用量或比值', @level0type=N'Schema', @level0name=N'dbo', @level1type=N'Table', @level1name=N'analysis_runtime_year', @level2type=N'Column', @level2name=N'month08'; |
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EXEC sp_addextendedproperty @name=N'MS_Description', @value=N'9月用量或比值', @level0type=N'Schema', @level0name=N'dbo', @level1type=N'Table', @level1name=N'analysis_runtime_year', @level2type=N'Column', @level2name=N'month09'; |
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EXEC sp_addextendedproperty @name=N'MS_Description', @value=N'10月用量或比值', @level0type=N'Schema', @level0name=N'dbo', @level1type=N'Table', @level1name=N'analysis_runtime_year', @level2type=N'Column', @level2name=N'month10'; |
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EXEC sp_addextendedproperty @name=N'MS_Description', @value=N'11月用量或比值', @level0type=N'Schema', @level0name=N'dbo', @level1type=N'Table', @level1name=N'analysis_runtime_year', @level2type=N'Column', @level2name=N'month11'; |
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EXEC sp_addextendedproperty @name=N'MS_Description', @value=N'12月用量或比值', @level0type=N'Schema', @level0name=N'dbo', @level1type=N'Table', @level1name=N'analysis_runtime_year', @level2type=N'Column', @level2name=N'month12'; |
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EXEC sp_addextendedproperty @name=N'MS_Description', @value=N'合计用量', @level0type=N'Schema', @level0name=N'dbo', @level1type=N'Table', @level1name=N'analysis_runtime_year', @level2type=N'Column', @level2name=N'total_value'; |
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EXEC sp_addextendedproperty @name=N'MS_Description', @value=N'楼栋编号', @level0type=N'Schema', @level0name=N'dbo', @level1type=N'Table', @level1name=N'analysis_runtime_year', @level2type=N'Column', @level2name=N'building_id'; |
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EXEC sp_addextendedproperty @name=N'MS_Description', @value=N'楼栋名称', @level0type=N'Schema', @level0name=N'dbo', @level1type=N'Table', @level1name=N'analysis_runtime_year', @level2type=N'Column', @level2name=N'building_name'; |
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-- 2024-06-24 添加楼栋人数 |
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alter table history_data_pre add people_num numeric(24,2) not null default 0; |
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exec sp_addextendedproperty N'MS_Description', N'每栋楼人数', N'schema', N'dbo',N'table', N'history_data_pre', N'column', N'people_num'; |
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-- 2024-06-26 添加知识库 |
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CREATE TABLE knowledge_data |
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( |
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id bigint IDENTITY(1,1) NOT NULL, |
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title varchar(100) COLLATE Chinese_PRC_CI_AS NULL, |
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description varchar(200) COLLATE Chinese_PRC_CI_AS NULL, |
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content varchar(2000) COLLATE Chinese_PRC_CI_AS NULL, |
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create_time datetime NULL, |
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status int NULL, |
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remark varchar(200) COLLATE Chinese_PRC_CI_AS NULL, |
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CONSTRAINT pk_knowledge_data PRIMARY KEY (id) |
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); |
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EXEC sp_addextendedproperty @name=N'MS_Description', @value=N'知识库数据', @level0type=N'Schema', @level0name=N'dbo', @level1type=N'Table', @level1name=N'knowledge_data'; |
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EXEC sp_addextendedproperty @name=N'MS_Description', @value=N'id', @level0type=N'Schema', @level0name=N'dbo', @level1type=N'Table', @level1name=N'knowledge_data', @level2type=N'Column', @level2name=N'id'; |
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EXEC sp_addextendedproperty @name=N'MS_Description', @value=N'标题', @level0type=N'Schema', @level0name=N'dbo', @level1type=N'Table', @level1name=N'knowledge_data', @level2type=N'Column', @level2name=N'title'; |
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EXEC sp_addextendedproperty @name=N'MS_Description', @value=N'描述', @level0type=N'Schema', @level0name=N'dbo', @level1type=N'Table', @level1name=N'knowledge_data', @level2type=N'Column', @level2name=N'description'; |
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EXEC sp_addextendedproperty @name=N'MS_Description', @value=N'内容', @level0type=N'Schema', @level0name=N'dbo', @level1type=N'Table', @level1name=N'knowledge_data', @level2type=N'Column', @level2name=N'content'; |
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EXEC sp_addextendedproperty @name=N'MS_Description', @value=N'创建时间', @level0type=N'Schema', @level0name=N'dbo', @level1type=N'Table', @level1name=N'knowledge_data', @level2type=N'Column', @level2name=N'create_time'; |
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EXEC sp_addextendedproperty @name=N'MS_Description', @value=N'状态', @level0type=N'Schema', @level0name=N'dbo', @level1type=N'Table', @level1name=N'knowledge_data', @level2type=N'Column', @level2name=N'status'; |
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EXEC sp_addextendedproperty @name=N'MS_Description', @value=N'备注', @level0type=N'Schema', @level0name=N'dbo', @level1type=N'Table', @level1name=N'knowledge_data', @level2type=N'Column', @level2name=N'remark'; |
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create index knowledge_data_create_time on history_data_pre (create_time); |
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-- 2024-07-01 水位变换添加 |
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ALTER TABLE chws_gsh.dbo.waterLevel ADD level14 varchar(50) NULL; |
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EXEC chws_gsh.sys.sp_addextendedproperty 'MS_Description', N'14点水位', 'schema', N'dbo', 'table', N'waterLevel', 'column', N'level14'; |
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ALTER TABLE chws_gsh.dbo.building ADD low_tank_height numeric(24,2) NULL; |
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EXEC chws_gsh.sys.sp_addextendedproperty 'MS_Description', N'低区域水箱高度', 'schema', N'dbo', 'table', N'building', 'column', N'low_tank_height'; |
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@ -1,135 +0,0 @@ |
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<?xml version="1.0" encoding="UTF-8"?> |
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<project xmlns="http://maven.apache.org/POM/4.0.0" |
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xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" |
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xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd"> |
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<parent> |
|
||||||
<groupId>com.mh</groupId> |
|
||||||
<artifactId>chws</artifactId> |
|
||||||
<version>1.0-SNAPSHOT</version> |
|
||||||
</parent> |
|
||||||
<modelVersion>4.0.0</modelVersion> |
|
||||||
|
|
||||||
<groupId>com.mh</groupId> |
|
||||||
<artifactId>algorithm</artifactId> |
|
||||||
<version>1.0.0</version> |
|
||||||
<packaging>jar</packaging> |
|
||||||
|
|
||||||
<properties> |
|
||||||
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding> |
|
||||||
<encoding>UTF-8</encoding> |
|
||||||
<java.version>1.8</java.version> |
|
||||||
<maven.compiler.source>1.8</maven.compiler.source> |
|
||||||
<maven.compiler.target>1.8</maven.compiler.target> |
|
||||||
</properties> |
|
||||||
<dependencies> |
|
||||||
<!-- https://mvnrepository.com/artifact/net.sourceforge.javacsv/javacsv --> |
|
||||||
<dependency> |
|
||||||
<groupId>net.sourceforge.javacsv</groupId> |
|
||||||
<artifactId>javacsv</artifactId> |
|
||||||
<version>2.0</version> |
|
||||||
</dependency> |
|
||||||
<dependency> |
|
||||||
<groupId>gov.nist.math</groupId> |
|
||||||
<artifactId>jama</artifactId> |
|
||||||
<version>1.0.3</version> |
|
||||||
</dependency> |
|
||||||
<dependency> |
|
||||||
<groupId>junit</groupId> |
|
||||||
<artifactId>junit</artifactId> |
|
||||||
<version>RELEASE</version> |
|
||||||
<scope>test</scope> |
|
||||||
</dependency> |
|
||||||
</dependencies> |
|
||||||
|
|
||||||
<build> |
|
||||||
<plugins> |
|
||||||
<plugin> |
|
||||||
<groupId>org.apache.maven.plugins</groupId> |
|
||||||
<artifactId>maven-compiler-plugin</artifactId> |
|
||||||
<version>3.9.3</version> |
|
||||||
<configuration> |
|
||||||
<source>1.8</source> |
|
||||||
<target>1.8</target> |
|
||||||
</configuration> |
|
||||||
</plugin> |
|
||||||
</plugins> |
|
||||||
</build> |
|
||||||
|
|
||||||
<profiles> |
|
||||||
<profile> |
|
||||||
<id>default</id> |
|
||||||
<activation> |
|
||||||
<activeByDefault>true</activeByDefault> |
|
||||||
</activation> |
|
||||||
<build> |
|
||||||
<plugins> |
|
||||||
<!-- java版本 --> |
|
||||||
<plugin> |
|
||||||
<groupId>org.apache.maven.plugins</groupId> |
|
||||||
<artifactId>maven-compiler-plugin</artifactId> |
|
||||||
<version>3.8.0</version> |
|
||||||
<configuration> |
|
||||||
<source>1.8</source> |
|
||||||
<target>1.8</target> |
|
||||||
<encoding>UTF-8</encoding> |
|
||||||
</configuration> |
|
||||||
</plugin> |
|
||||||
<!-- 这是javadoc打包插件 --> |
|
||||||
<plugin> |
|
||||||
<groupId>org.apache.maven.plugins</groupId> |
|
||||||
<artifactId>maven-javadoc-plugin</artifactId> |
|
||||||
<version>2.9.1</version> |
|
||||||
<executions> |
|
||||||
<execution> |
|
||||||
<id>attach-javadocs</id> |
|
||||||
<goals> |
|
||||||
<goal>jar</goal> |
|
||||||
</goals> |
|
||||||
<!-- 该处屏蔽jdk1.8后javadoc的严格校验 --> |
|
||||||
<configuration> |
|
||||||
<additionalparam>-Xdoclint:none</additionalparam> |
|
||||||
</configuration> |
|
||||||
</execution> |
|
||||||
</executions> |
|
||||||
</plugin> |
|
||||||
<!-- 打包源码插件 --> |
|
||||||
<plugin> |
|
||||||
<groupId>org.apache.maven.plugins</groupId> |
|
||||||
<artifactId>maven-source-plugin</artifactId> |
|
||||||
<version>2.3</version> |
|
||||||
<executions> |
|
||||||
<execution> |
|
||||||
<id>attach-sources</id> |
|
||||||
<goals> |
|
||||||
<goal>jar</goal> |
|
||||||
</goals> |
|
||||||
</execution> |
|
||||||
</executions> |
|
||||||
</plugin> |
|
||||||
<!--签名插件--> |
|
||||||
<!-- <plugin>--> |
|
||||||
<!-- <groupId>org.apache.maven.plugins</groupId>--> |
|
||||||
<!-- <artifactId>maven-gpg-plugin</artifactId>--> |
|
||||||
<!-- <version>1.4</version>--> |
|
||||||
<!-- <executions>--> |
|
||||||
<!-- <execution>--> |
|
||||||
<!-- <id>sign-artifacts</id>--> |
|
||||||
<!-- <phase>verify</phase>--> |
|
||||||
<!-- <goals>--> |
|
||||||
<!-- <goal>sign</goal>--> |
|
||||||
<!-- </goals>--> |
|
||||||
<!-- </execution>--> |
|
||||||
<!-- </executions>--> |
|
||||||
<!-- </plugin>--> |
|
||||||
<plugin> |
|
||||||
<artifactId>maven-jar-plugin</artifactId> |
|
||||||
<version>2.3.1</version> |
|
||||||
<configuration> |
|
||||||
<classesDirectory>target/classes</classesDirectory> |
|
||||||
</configuration> |
|
||||||
</plugin> |
|
||||||
</plugins> |
|
||||||
</build> |
|
||||||
</profile> |
|
||||||
</profiles> |
|
||||||
</project> |
|
@ -1,8 +0,0 @@ |
|||||||
package com.mh.algorithm.bpnn; |
|
||||||
|
|
||||||
public interface ActivationFunction { |
|
||||||
//计算值
|
|
||||||
double computeValue(double val); |
|
||||||
//计算导数
|
|
||||||
double computeDerivative(double val); |
|
||||||
} |
|
@ -1,111 +0,0 @@ |
|||||||
package com.mh.algorithm.bpnn; |
|
||||||
|
|
||||||
import com.mh.algorithm.matrix.Matrix; |
|
||||||
|
|
||||||
import java.io.Serializable; |
|
||||||
|
|
||||||
public class BPModel implements Serializable { |
|
||||||
//BP神经网络权值与阈值
|
|
||||||
private Matrix weightIJ; |
|
||||||
private Matrix b1; |
|
||||||
private Matrix weightJP; |
|
||||||
private Matrix b2; |
|
||||||
/*用于反归一化*/ |
|
||||||
private Matrix inputMax; |
|
||||||
private Matrix inputMin; |
|
||||||
private Matrix outputMax; |
|
||||||
private Matrix outputMin; |
|
||||||
/*BP神经网络训练参数*/ |
|
||||||
private BPParameter bpParameter; |
|
||||||
/*BP神经网络训练情况*/ |
|
||||||
private double error; |
|
||||||
private int times; |
|
||||||
|
|
||||||
public Matrix getWeightIJ() { |
|
||||||
return weightIJ; |
|
||||||
} |
|
||||||
|
|
||||||
public void setWeightIJ(Matrix weightIJ) { |
|
||||||
this.weightIJ = weightIJ; |
|
||||||
} |
|
||||||
|
|
||||||
public Matrix getB1() { |
|
||||||
return b1; |
|
||||||
} |
|
||||||
|
|
||||||
public void setB1(Matrix b1) { |
|
||||||
this.b1 = b1; |
|
||||||
} |
|
||||||
|
|
||||||
public Matrix getWeightJP() { |
|
||||||
return weightJP; |
|
||||||
} |
|
||||||
|
|
||||||
public void setWeightJP(Matrix weightJP) { |
|
||||||
this.weightJP = weightJP; |
|
||||||
} |
|
||||||
|
|
||||||
public Matrix getB2() { |
|
||||||
return b2; |
|
||||||
} |
|
||||||
|
|
||||||
public void setB2(Matrix b2) { |
|
||||||
this.b2 = b2; |
|
||||||
} |
|
||||||
|
|
||||||
public Matrix getInputMax() { |
|
||||||
return inputMax; |
|
||||||
} |
|
||||||
|
|
||||||
public void setInputMax(Matrix inputMax) { |
|
||||||
this.inputMax = inputMax; |
|
||||||
} |
|
||||||
|
|
||||||
public Matrix getInputMin() { |
|
||||||
return inputMin; |
|
||||||
} |
|
||||||
|
|
||||||
public void setInputMin(Matrix inputMin) { |
|
||||||
this.inputMin = inputMin; |
|
||||||
} |
|
||||||
|
|
||||||
public Matrix getOutputMax() { |
|
||||||
return outputMax; |
|
||||||
} |
|
||||||
|
|
||||||
public void setOutputMax(Matrix outputMax) { |
|
||||||
this.outputMax = outputMax; |
|
||||||
} |
|
||||||
|
|
||||||
public Matrix getOutputMin() { |
|
||||||
return outputMin; |
|
||||||
} |
|
||||||
|
|
||||||
public void setOutputMin(Matrix outputMin) { |
|
||||||
this.outputMin = outputMin; |
|
||||||
} |
|
||||||
|
|
||||||
public BPParameter getBpParameter() { |
|
||||||
return bpParameter; |
|
||||||
} |
|
||||||
|
|
||||||
public void setBpParameter(BPParameter bpParameter) { |
|
||||||
this.bpParameter = bpParameter; |
|
||||||
} |
|
||||||
|
|
||||||
public double getError() { |
|
||||||
return error; |
|
||||||
} |
|
||||||
|
|
||||||
public void setError(double error) { |
|
||||||
this.error = error; |
|
||||||
} |
|
||||||
|
|
||||||
public int getTimes() { |
|
||||||
return times; |
|
||||||
} |
|
||||||
|
|
||||||
public void setTimes(int times) { |
|
||||||
this.times = times; |
|
||||||
} |
|
||||||
} |
|
@ -1,262 +0,0 @@ |
|||||||
package com.mh.algorithm.bpnn; |
|
||||||
|
|
||||||
import com.mh.algorithm.matrix.Matrix; |
|
||||||
import com.mh.algorithm.utils.MatrixUtil; |
|
||||||
|
|
||||||
import java.util.*; |
|
||||||
|
|
||||||
public class BPNeuralNetworkFactory { |
|
||||||
/** |
|
||||||
* 训练BP神经网络模型 |
|
||||||
* @param bpParameter |
|
||||||
* @param inputAndOutput |
|
||||||
* @return |
|
||||||
*/ |
|
||||||
public BPModel trainBP(BPParameter bpParameter, Matrix inputAndOutput) throws Exception { |
|
||||||
|
|
||||||
ActivationFunction activationFunction = bpParameter.getActivationFunction(); |
|
||||||
int inputCount = bpParameter.getInputLayerNeuronCount(); |
|
||||||
int hiddenCount = bpParameter.getHiddenLayerNeuronCount(); |
|
||||||
int outputCount = bpParameter.getOutputLayerNeuronCount(); |
|
||||||
double normalizationMin = bpParameter.getNormalizationMin(); |
|
||||||
double normalizationMax = bpParameter.getNormalizationMax(); |
|
||||||
double step = bpParameter.getStep(); |
|
||||||
double momentumFactor = bpParameter.getMomentumFactor(); |
|
||||||
double precision = bpParameter.getPrecision(); |
|
||||||
int maxTimes = bpParameter.getMaxTimes(); |
|
||||||
|
|
||||||
if(inputAndOutput.getMatrixColCount() != inputCount + outputCount){ |
|
||||||
throw new Exception("神经元个数不符,请修改"); |
|
||||||
} |
|
||||||
// 初始化权值
|
|
||||||
Matrix weightIJ = initWeight(inputCount, hiddenCount); |
|
||||||
Matrix weightJP = initWeight(hiddenCount, outputCount); |
|
||||||
|
|
||||||
// 初始化阈值
|
|
||||||
Matrix b1 = initThreshold(hiddenCount); |
|
||||||
Matrix b2 = initThreshold(outputCount); |
|
||||||
|
|
||||||
// 动量项
|
|
||||||
Matrix deltaWeightIJ0 = new Matrix(inputCount, hiddenCount); |
|
||||||
Matrix deltaWeightJP0 = new Matrix(hiddenCount, outputCount); |
|
||||||
Matrix deltaB10 = new Matrix(1, hiddenCount); |
|
||||||
Matrix deltaB20 = new Matrix(1, outputCount); |
|
||||||
|
|
||||||
// 截取输入矩阵和输出矩阵
|
|
||||||
Matrix input = inputAndOutput.subMatrix(0,inputAndOutput.getMatrixRowCount(),0,inputCount); |
|
||||||
Matrix output = inputAndOutput.subMatrix(0,inputAndOutput.getMatrixRowCount(),inputCount,outputCount); |
|
||||||
|
|
||||||
// 归一化
|
|
||||||
Map<String,Object> inputAfterNormalize = MatrixUtil.normalize(input, normalizationMin, normalizationMax); |
|
||||||
input = (Matrix) inputAfterNormalize.get("res"); |
|
||||||
|
|
||||||
Map<String,Object> outputAfterNormalize = MatrixUtil.normalize(output, normalizationMin, normalizationMax); |
|
||||||
output = (Matrix) outputAfterNormalize.get("res"); |
|
||||||
|
|
||||||
int times = 1; |
|
||||||
double E = 0;//误差
|
|
||||||
while (times < maxTimes) { |
|
||||||
/*-----------------正向传播---------------------*/ |
|
||||||
// 隐含层输入
|
|
||||||
Matrix jIn = input.multiple(weightIJ); |
|
||||||
// 扩充阈值
|
|
||||||
Matrix b1Copy = b1.extend(2,jIn.getMatrixRowCount()); |
|
||||||
// 加上阈值
|
|
||||||
jIn = jIn.plus(b1Copy); |
|
||||||
// 隐含层输出
|
|
||||||
Matrix jOut = computeValue(jIn,activationFunction); |
|
||||||
// 输出层输入
|
|
||||||
Matrix pIn = jOut.multiple(weightJP); |
|
||||||
// 扩充阈值
|
|
||||||
Matrix b2Copy = b2.extend(2, pIn.getMatrixRowCount()); |
|
||||||
// 加上阈值
|
|
||||||
pIn = pIn.plus(b2Copy); |
|
||||||
// 输出层输出
|
|
||||||
Matrix pOut = computeValue(pIn,activationFunction); |
|
||||||
// 计算误差
|
|
||||||
Matrix e = output.subtract(pOut); |
|
||||||
E = computeE(e);//误差
|
|
||||||
// 判断是否符合精度
|
|
||||||
if (Math.abs(E) <= precision) { |
|
||||||
System.out.println("满足精度"); |
|
||||||
break; |
|
||||||
} |
|
||||||
|
|
||||||
/*-----------------反向传播---------------------*/ |
|
||||||
// J与P之间权值修正量
|
|
||||||
Matrix deltaWeightJP = e.multiple(step); |
|
||||||
deltaWeightJP = deltaWeightJP.pointMultiple(computeDerivative(pIn,activationFunction)); |
|
||||||
deltaWeightJP = deltaWeightJP.transpose().multiple(jOut); |
|
||||||
deltaWeightJP = deltaWeightJP.transpose(); |
|
||||||
// P层神经元阈值修正量
|
|
||||||
Matrix deltaThresholdP = e.multiple(step); |
|
||||||
deltaThresholdP = deltaThresholdP.transpose().multiple(computeDerivative(pIn, activationFunction)); |
|
||||||
|
|
||||||
// I与J之间的权值修正量
|
|
||||||
Matrix deltaO = e.pointMultiple(computeDerivative(pIn,activationFunction)); |
|
||||||
Matrix tmp = weightJP.multiple(deltaO.transpose()).transpose(); |
|
||||||
Matrix deltaWeightIJ = tmp.pointMultiple(computeDerivative(jIn, activationFunction)); |
|
||||||
deltaWeightIJ = input.transpose().multiple(deltaWeightIJ); |
|
||||||
deltaWeightIJ = deltaWeightIJ.multiple(step); |
|
||||||
|
|
||||||
// J层神经元阈值修正量
|
|
||||||
Matrix deltaThresholdJ = tmp.transpose().multiple(computeDerivative(jIn, activationFunction)); |
|
||||||
deltaThresholdJ = deltaThresholdJ.multiple(-step); |
|
||||||
|
|
||||||
if (times == 1) { |
|
||||||
// 更新权值与阈值
|
|
||||||
weightIJ = weightIJ.plus(deltaWeightIJ); |
|
||||||
weightJP = weightJP.plus(deltaWeightJP); |
|
||||||
b1 = b1.plus(deltaThresholdJ); |
|
||||||
b2 = b2.plus(deltaThresholdP); |
|
||||||
}else{ |
|
||||||
// 加动量项
|
|
||||||
weightIJ = weightIJ.plus(deltaWeightIJ).plus(deltaWeightIJ0.multiple(momentumFactor)); |
|
||||||
weightJP = weightJP.plus(deltaWeightJP).plus(deltaWeightJP0.multiple(momentumFactor)); |
|
||||||
b1 = b1.plus(deltaThresholdJ).plus(deltaB10.multiple(momentumFactor)); |
|
||||||
b2 = b2.plus(deltaThresholdP).plus(deltaB20.multiple(momentumFactor)); |
|
||||||
} |
|
||||||
|
|
||||||
deltaWeightIJ0 = deltaWeightIJ; |
|
||||||
deltaWeightJP0 = deltaWeightJP; |
|
||||||
deltaB10 = deltaThresholdJ; |
|
||||||
deltaB20 = deltaThresholdP; |
|
||||||
|
|
||||||
times++; |
|
||||||
} |
|
||||||
|
|
||||||
// BP神经网络的输出
|
|
||||||
BPModel result = new BPModel(); |
|
||||||
result.setInputMax((Matrix) inputAfterNormalize.get("max")); |
|
||||||
result.setInputMin((Matrix) inputAfterNormalize.get("min")); |
|
||||||
result.setOutputMax((Matrix) outputAfterNormalize.get("max")); |
|
||||||
result.setOutputMin((Matrix) outputAfterNormalize.get("min")); |
|
||||||
result.setWeightIJ(weightIJ); |
|
||||||
result.setWeightJP(weightJP); |
|
||||||
result.setB1(b1); |
|
||||||
result.setB2(b2); |
|
||||||
result.setError(E); |
|
||||||
result.setTimes(times); |
|
||||||
result.setBpParameter(bpParameter); |
|
||||||
System.out.println("循环次数:" + times + ",误差:" + E); |
|
||||||
|
|
||||||
return result; |
|
||||||
} |
|
||||||
|
|
||||||
/** |
|
||||||
* 计算BP神经网络的值 |
|
||||||
* @param bpModel |
|
||||||
* @param input |
|
||||||
* @return |
|
||||||
*/ |
|
||||||
public Matrix computeBP(BPModel bpModel,Matrix input) throws Exception { |
|
||||||
if (input.getMatrixColCount() != bpModel.getBpParameter().getInputLayerNeuronCount()) { |
|
||||||
throw new Exception("输入矩阵纬度有误"); |
|
||||||
} |
|
||||||
ActivationFunction activationFunction = bpModel.getBpParameter().getActivationFunction(); |
|
||||||
Matrix weightIJ = bpModel.getWeightIJ(); |
|
||||||
Matrix weightJP = bpModel.getWeightJP(); |
|
||||||
Matrix b1 = bpModel.getB1(); |
|
||||||
Matrix b2 = bpModel.getB2(); |
|
||||||
double[][] normalizedInput = new double[input.getMatrixRowCount()][input.getMatrixColCount()]; |
|
||||||
for (int i = 0; i < input.getMatrixRowCount(); i++) { |
|
||||||
for (int j = 0; j < input.getMatrixColCount(); j++) { |
|
||||||
if ((input.getValOfIdx(i,j) - bpModel.getInputMin().getValOfIdx(0,j)) == 0 |
|
||||||
|| (bpModel.getInputMax().getValOfIdx(0,j) - bpModel.getInputMin().getValOfIdx(0,j)) == 0) { |
|
||||||
normalizedInput[i][j] = bpModel.getBpParameter().getNormalizationMin(); |
|
||||||
continue; |
|
||||||
} |
|
||||||
normalizedInput[i][j] = bpModel.getBpParameter().getNormalizationMin() |
|
||||||
+ (input.getValOfIdx(i,j) - bpModel.getInputMin().getValOfIdx(0,j)) |
|
||||||
/ (bpModel.getInputMax().getValOfIdx(0,j) - bpModel.getInputMin().getValOfIdx(0,j)) |
|
||||||
* (bpModel.getBpParameter().getNormalizationMax() - bpModel.getBpParameter().getNormalizationMin()); |
|
||||||
} |
|
||||||
} |
|
||||||
Matrix normalizedInputMatrix = new Matrix(normalizedInput); |
|
||||||
Matrix jIn = normalizedInputMatrix.multiple(weightIJ); |
|
||||||
// 扩充阈值
|
|
||||||
Matrix b1Copy = b1.extend(2,jIn.getMatrixRowCount()); |
|
||||||
// 加上阈值
|
|
||||||
jIn = jIn.plus(b1Copy); |
|
||||||
// 隐含层输出
|
|
||||||
Matrix jOut = computeValue(jIn,activationFunction); |
|
||||||
// 输出层输入
|
|
||||||
Matrix pIn = jOut.multiple(weightJP); |
|
||||||
// 扩充阈值
|
|
||||||
Matrix b2Copy = b2.extend(2,pIn.getMatrixRowCount()); |
|
||||||
// 加上阈值
|
|
||||||
pIn = pIn.plus(b2Copy); |
|
||||||
// 输出层输出
|
|
||||||
Matrix pOut = computeValue(pIn,activationFunction); |
|
||||||
// 反归一化
|
|
||||||
return MatrixUtil.inverseNormalize(pOut, bpModel.getBpParameter().getNormalizationMax(), bpModel.getBpParameter().getNormalizationMin(), bpModel.getOutputMax(), bpModel.getOutputMin()); |
|
||||||
} |
|
||||||
|
|
||||||
// 初始化权值
|
|
||||||
private Matrix initWeight(int x,int y){ |
|
||||||
Random random=new Random(); |
|
||||||
double[][] weight = new double[x][y]; |
|
||||||
for (int i = 0; i < x; i++) { |
|
||||||
for (int j = 0; j < y; j++) { |
|
||||||
weight[i][j] = 2*random.nextDouble()-1; |
|
||||||
} |
|
||||||
} |
|
||||||
return new Matrix(weight); |
|
||||||
} |
|
||||||
// 初始化阈值
|
|
||||||
private Matrix initThreshold(int x){ |
|
||||||
Random random = new Random(); |
|
||||||
double[][] result = new double[1][x]; |
|
||||||
for (int i = 0; i < x; i++) { |
|
||||||
result[0][i] = 2*random.nextDouble()-1; |
|
||||||
} |
|
||||||
return new Matrix(result); |
|
||||||
} |
|
||||||
|
|
||||||
/** |
|
||||||
* 计算激活函数的值 |
|
||||||
* @param a |
|
||||||
* @return |
|
||||||
*/ |
|
||||||
private Matrix computeValue(Matrix a, ActivationFunction activationFunction) throws Exception { |
|
||||||
if (a.getMatrix() == null) { |
|
||||||
throw new Exception("参数值为空"); |
|
||||||
} |
|
||||||
double[][] result = new double[a.getMatrixRowCount()][a.getMatrixColCount()]; |
|
||||||
for (int i = 0; i < a.getMatrixRowCount(); i++) { |
|
||||||
for (int j = 0; j < a.getMatrixColCount(); j++) { |
|
||||||
result[i][j] = activationFunction.computeValue(a.getValOfIdx(i,j)); |
|
||||||
} |
|
||||||
} |
|
||||||
return new Matrix(result); |
|
||||||
} |
|
||||||
|
|
||||||
/** |
|
||||||
* 激活函数导数的值 |
|
||||||
* @param a |
|
||||||
* @return |
|
||||||
*/ |
|
||||||
private Matrix computeDerivative(Matrix a , ActivationFunction activationFunction) throws Exception { |
|
||||||
if (a.getMatrix() == null) { |
|
||||||
throw new Exception("参数值为空"); |
|
||||||
} |
|
||||||
double[][] result = new double[a.getMatrixRowCount()][a.getMatrixColCount()]; |
|
||||||
for (int i = 0; i < a.getMatrixRowCount(); i++) { |
|
||||||
for (int j = 0; j < a.getMatrixColCount(); j++) { |
|
||||||
result[i][j] = activationFunction.computeDerivative(a.getValOfIdx(i,j)); |
|
||||||
} |
|
||||||
} |
|
||||||
return new Matrix(result); |
|
||||||
} |
|
||||||
|
|
||||||
|
|
||||||
/** |
|
||||||
* 计算误差 |
|
||||||
* @param e |
|
||||||
* @return |
|
||||||
*/ |
|
||||||
private double computeE(Matrix e){ |
|
||||||
e = e.square(); |
|
||||||
return 0.5*e.sumAll(); |
|
||||||
} |
|
||||||
} |
|
@ -1,106 +0,0 @@ |
|||||||
package com.mh.algorithm.bpnn; |
|
||||||
|
|
||||||
import java.io.Serializable; |
|
||||||
|
|
||||||
public class BPParameter implements Serializable { |
|
||||||
|
|
||||||
//输入层神经元个数
|
|
||||||
private int inputLayerNeuronCount = 3; |
|
||||||
//隐含层神经元个数
|
|
||||||
private int hiddenLayerNeuronCount = 3; |
|
||||||
//输出层神经元个数
|
|
||||||
private int outputLayerNeuronCount = 1; |
|
||||||
//归一化区间
|
|
||||||
private double normalizationMin = 0.2; |
|
||||||
private double normalizationMax = 0.8; |
|
||||||
//学习步长
|
|
||||||
private double step = 0.05; |
|
||||||
//动量因子
|
|
||||||
private double momentumFactor = 0.2; |
|
||||||
//激活函数
|
|
||||||
private ActivationFunction activationFunction = new Sigmoid(); |
|
||||||
//精度
|
|
||||||
private double precision = 0.000001; |
|
||||||
//最大循环次数
|
|
||||||
private int maxTimes = 1000000; |
|
||||||
|
|
||||||
public double getMomentumFactor() { |
|
||||||
return momentumFactor; |
|
||||||
} |
|
||||||
|
|
||||||
public void setMomentumFactor(double momentumFactor) { |
|
||||||
this.momentumFactor = momentumFactor; |
|
||||||
} |
|
||||||
|
|
||||||
public double getStep() { |
|
||||||
return step; |
|
||||||
} |
|
||||||
|
|
||||||
public void setStep(double step) { |
|
||||||
this.step = step; |
|
||||||
} |
|
||||||
|
|
||||||
public double getNormalizationMin() { |
|
||||||
return normalizationMin; |
|
||||||
} |
|
||||||
|
|
||||||
public void setNormalizationMin(double normalizationMin) { |
|
||||||
this.normalizationMin = normalizationMin; |
|
||||||
} |
|
||||||
|
|
||||||
public double getNormalizationMax() { |
|
||||||
return normalizationMax; |
|
||||||
} |
|
||||||
|
|
||||||
public void setNormalizationMax(double normalizationMax) { |
|
||||||
this.normalizationMax = normalizationMax; |
|
||||||
} |
|
||||||
|
|
||||||
public int getInputLayerNeuronCount() { |
|
||||||
return inputLayerNeuronCount; |
|
||||||
} |
|
||||||
|
|
||||||
public void setInputLayerNeuronCount(int inputLayerNeuronCount) { |
|
||||||
this.inputLayerNeuronCount = inputLayerNeuronCount; |
|
||||||
} |
|
||||||
|
|
||||||
public int getHiddenLayerNeuronCount() { |
|
||||||
return hiddenLayerNeuronCount; |
|
||||||
} |
|
||||||
|
|
||||||
public void setHiddenLayerNeuronCount(int hiddenLayerNeuronCount) { |
|
||||||
this.hiddenLayerNeuronCount = hiddenLayerNeuronCount; |
|
||||||
} |
|
||||||
|
|
||||||
public int getOutputLayerNeuronCount() { |
|
||||||
return outputLayerNeuronCount; |
|
||||||
} |
|
||||||
|
|
||||||
public void setOutputLayerNeuronCount(int outputLayerNeuronCount) { |
|
||||||
this.outputLayerNeuronCount = outputLayerNeuronCount; |
|
||||||
} |
|
||||||
|
|
||||||
public ActivationFunction getActivationFunction() { |
|
||||||
return activationFunction; |
|
||||||
} |
|
||||||
|
|
||||||
public void setActivationFunction(ActivationFunction activationFunction) { |
|
||||||
this.activationFunction = activationFunction; |
|
||||||
} |
|
||||||
|
|
||||||
public double getPrecision() { |
|
||||||
return precision; |
|
||||||
} |
|
||||||
|
|
||||||
public void setPrecision(double precision) { |
|
||||||
this.precision = precision; |
|
||||||
} |
|
||||||
|
|
||||||
public int getMaxTimes() { |
|
||||||
return maxTimes; |
|
||||||
} |
|
||||||
|
|
||||||
public void setMaxTimes(int maxTimes) { |
|
||||||
this.maxTimes = maxTimes; |
|
||||||
} |
|
||||||
} |
|
@ -1,15 +0,0 @@ |
|||||||
package com.mh.algorithm.bpnn; |
|
||||||
|
|
||||||
import java.io.Serializable; |
|
||||||
|
|
||||||
public class Sigmoid implements ActivationFunction, Serializable { |
|
||||||
@Override |
|
||||||
public double computeValue(double val) { |
|
||||||
return 1 / (1 + Math.exp(-val)); |
|
||||||
} |
|
||||||
|
|
||||||
@Override |
|
||||||
public double computeDerivative(double val) { |
|
||||||
return computeValue(val) * (1 - computeValue(val)); |
|
||||||
} |
|
||||||
} |
|
@ -1,24 +0,0 @@ |
|||||||
package com.mh.algorithm.constants; |
|
||||||
|
|
||||||
/** |
|
||||||
* 排序枚举类 |
|
||||||
*/ |
|
||||||
public enum OrderEnum { |
|
||||||
|
|
||||||
ASC(1,"升序"), |
|
||||||
|
|
||||||
DESC(2,"降序"); |
|
||||||
|
|
||||||
OrderEnum(int flag, String name) { |
|
||||||
|
|
||||||
this.flag = flag; |
|
||||||
|
|
||||||
this.name = name; |
|
||||||
|
|
||||||
} |
|
||||||
|
|
||||||
private int flag; |
|
||||||
|
|
||||||
private String name; |
|
||||||
|
|
||||||
} |
|
@ -1,88 +0,0 @@ |
|||||||
package com.mh.algorithm.knn; |
|
||||||
|
|
||||||
import com.mh.algorithm.constants.OrderEnum; |
|
||||||
import com.mh.algorithm.matrix.Matrix; |
|
||||||
import com.mh.algorithm.utils.MatrixUtil; |
|
||||||
|
|
||||||
import java.util.*; |
|
||||||
|
|
||||||
|
|
||||||
/** |
|
||||||
* @program: top-algorithm-set |
|
||||||
* @description: KNN k-临近算法进行分类 |
|
||||||
* @author: Mr.Zhao |
|
||||||
* @create: 2020-10-13 22:03 |
|
||||||
**/ |
|
||||||
public class KNN { |
|
||||||
public static Matrix classify(Matrix input, Matrix dataSet, Matrix labels, int k) throws Exception { |
|
||||||
if (dataSet.getMatrixRowCount() != labels.getMatrixRowCount()) { |
|
||||||
throw new IllegalArgumentException("矩阵训练集与标签维度不一致"); |
|
||||||
} |
|
||||||
if (input.getMatrixColCount() != dataSet.getMatrixColCount()) { |
|
||||||
throw new IllegalArgumentException("待分类矩阵列数与训练集列数不一致"); |
|
||||||
} |
|
||||||
if (dataSet.getMatrixRowCount() < k) { |
|
||||||
throw new IllegalArgumentException("训练集样本数小于k"); |
|
||||||
} |
|
||||||
// 归一化
|
|
||||||
int trainCount = dataSet.getMatrixRowCount(); |
|
||||||
int testCount = input.getMatrixRowCount(); |
|
||||||
Matrix trainAndTest = dataSet.splice(2, input); |
|
||||||
Map<String, Object> normalize = MatrixUtil.normalize(trainAndTest, 0, 1); |
|
||||||
trainAndTest = (Matrix) normalize.get("res"); |
|
||||||
dataSet = trainAndTest.subMatrix(0, trainCount, 0, trainAndTest.getMatrixColCount()); |
|
||||||
input = trainAndTest.subMatrix(0, testCount, 0, trainAndTest.getMatrixColCount()); |
|
||||||
|
|
||||||
// 获取标签信息
|
|
||||||
List<Double> labelList = new ArrayList<>(); |
|
||||||
for (int i = 0; i < labels.getMatrixRowCount(); i++) { |
|
||||||
if (!labelList.contains(labels.getValOfIdx(i, 0))) { |
|
||||||
labelList.add(labels.getValOfIdx(i, 0)); |
|
||||||
} |
|
||||||
} |
|
||||||
|
|
||||||
Matrix result = new Matrix(new double[input.getMatrixRowCount()][1]); |
|
||||||
for (int i = 0; i < input.getMatrixRowCount(); i++) { |
|
||||||
// 计算向量间的欧式距离
|
|
||||||
// 将labels矩阵扩展
|
|
||||||
Matrix labelMatrixCopied = input.getRowOfIdx(i).extend(2, dataSet.getMatrixRowCount()); |
|
||||||
// 前面是计算欧氏距离,splice(1,labels)是将距离矩阵与labels矩阵合并
|
|
||||||
Matrix distanceMatrix = dataSet.subtract(labelMatrixCopied).square().sumRow().pow(0.5).splice(1, labels); |
|
||||||
// 将计算出的距离矩阵按照距离升序排序
|
|
||||||
distanceMatrix.sort(0, OrderEnum.ASC); |
|
||||||
// 遍历最近的k个变量
|
|
||||||
Map<Double, Integer> map = new HashMap<>(); |
|
||||||
for (int j = 0; j < k; j++) { |
|
||||||
// 遍历标签种类数
|
|
||||||
for (Double label : labelList) { |
|
||||||
if (distanceMatrix.getValOfIdx(j, 1) == label) { |
|
||||||
map.put(label, map.getOrDefault(label, 0) + 1); |
|
||||||
} |
|
||||||
} |
|
||||||
} |
|
||||||
result.setValue(i, 0, getKeyOfMaxValue(map)); |
|
||||||
} |
|
||||||
return result; |
|
||||||
} |
|
||||||
|
|
||||||
/** |
|
||||||
* 取map中值最大的key |
|
||||||
* |
|
||||||
* @param map |
|
||||||
* @return |
|
||||||
*/ |
|
||||||
private static Double getKeyOfMaxValue(Map<Double, Integer> map) { |
|
||||||
if (map == null) |
|
||||||
return null; |
|
||||||
Double keyOfMaxValue = 0.0; |
|
||||||
Integer maxValue = 0; |
|
||||||
for (Double key : map.keySet()) { |
|
||||||
if (map.get(key) > maxValue) { |
|
||||||
keyOfMaxValue = key; |
|
||||||
maxValue = map.get(key); |
|
||||||
} |
|
||||||
} |
|
||||||
return keyOfMaxValue; |
|
||||||
} |
|
||||||
|
|
||||||
} |
|
@ -1,646 +0,0 @@ |
|||||||
package com.mh.algorithm.matrix; |
|
||||||
|
|
||||||
import com.mh.algorithm.constants.OrderEnum; |
|
||||||
|
|
||||||
import java.io.Serializable; |
|
||||||
|
|
||||||
public class Matrix implements Serializable { |
|
||||||
private double[][] matrix; |
|
||||||
//矩阵列数
|
|
||||||
private int matrixColCount; |
|
||||||
//矩阵行数
|
|
||||||
private int matrixRowCount; |
|
||||||
|
|
||||||
/** |
|
||||||
* 构造一个空矩阵 |
|
||||||
*/ |
|
||||||
public Matrix() { |
|
||||||
this.matrix = null; |
|
||||||
this.matrixColCount = 0; |
|
||||||
this.matrixRowCount = 0; |
|
||||||
} |
|
||||||
|
|
||||||
/** |
|
||||||
* 构造一个matrix矩阵 |
|
||||||
* @param matrix |
|
||||||
*/ |
|
||||||
public Matrix(double[][] matrix) { |
|
||||||
this.matrix = matrix; |
|
||||||
this.matrixRowCount = matrix.length; |
|
||||||
this.matrixColCount = matrix[0].length; |
|
||||||
} |
|
||||||
|
|
||||||
/** |
|
||||||
* 构造一个rowCount行colCount列值为0的矩阵 |
|
||||||
* @param rowCount |
|
||||||
* @param colCount |
|
||||||
*/ |
|
||||||
public Matrix(int rowCount,int colCount) { |
|
||||||
double[][] matrix = new double[rowCount][colCount]; |
|
||||||
for (int i = 0; i < rowCount; i++) { |
|
||||||
for (int j = 0; j < colCount; j++) { |
|
||||||
matrix[i][j] = 0; |
|
||||||
} |
|
||||||
} |
|
||||||
this.matrix = matrix; |
|
||||||
this.matrixRowCount = rowCount; |
|
||||||
this.matrixColCount = colCount; |
|
||||||
} |
|
||||||
|
|
||||||
/** |
|
||||||
* 构造一个rowCount行colCount列值为val的矩阵 |
|
||||||
* @param val |
|
||||||
* @param rowCount |
|
||||||
* @param colCount |
|
||||||
*/ |
|
||||||
public Matrix(double val,int rowCount,int colCount) { |
|
||||||
double[][] matrix = new double[rowCount][colCount]; |
|
||||||
for (int i = 0; i < rowCount; i++) { |
|
||||||
for (int j = 0; j < colCount; j++) { |
|
||||||
matrix[i][j] = val; |
|
||||||
} |
|
||||||
} |
|
||||||
this.matrix = matrix; |
|
||||||
this.matrixRowCount = rowCount; |
|
||||||
this.matrixColCount = colCount; |
|
||||||
} |
|
||||||
|
|
||||||
public double[][] getMatrix() { |
|
||||||
return matrix; |
|
||||||
} |
|
||||||
|
|
||||||
public void setMatrix(double[][] matrix) { |
|
||||||
this.matrix = matrix; |
|
||||||
this.matrixRowCount = matrix.length; |
|
||||||
this.matrixColCount = matrix[0].length; |
|
||||||
} |
|
||||||
|
|
||||||
public int getMatrixColCount() { |
|
||||||
return matrixColCount; |
|
||||||
} |
|
||||||
|
|
||||||
public int getMatrixRowCount() { |
|
||||||
return matrixRowCount; |
|
||||||
} |
|
||||||
|
|
||||||
/** |
|
||||||
* 获取矩阵指定位置的值 |
|
||||||
* |
|
||||||
* @param x |
|
||||||
* @param y |
|
||||||
* @return |
|
||||||
*/ |
|
||||||
public double getValOfIdx(int x, int y) throws IllegalArgumentException { |
|
||||||
if (matrix == null || matrixRowCount == 0 || matrixColCount == 0) { |
|
||||||
throw new IllegalArgumentException("矩阵为空"); |
|
||||||
} |
|
||||||
if (x > matrixRowCount - 1) { |
|
||||||
throw new IllegalArgumentException("索引x越界"); |
|
||||||
} |
|
||||||
if (y > matrixColCount - 1) { |
|
||||||
throw new IllegalArgumentException("索引y越界"); |
|
||||||
} |
|
||||||
return matrix[x][y]; |
|
||||||
} |
|
||||||
|
|
||||||
/** |
|
||||||
* 获取矩阵指定行 |
|
||||||
* |
|
||||||
* @param x |
|
||||||
* @return |
|
||||||
*/ |
|
||||||
public Matrix getRowOfIdx(int x) throws IllegalArgumentException { |
|
||||||
if (matrix == null || matrixRowCount == 0 || matrixColCount == 0) { |
|
||||||
throw new IllegalArgumentException("矩阵为空"); |
|
||||||
} |
|
||||||
if (x > matrixRowCount - 1) { |
|
||||||
throw new IllegalArgumentException("索引x越界"); |
|
||||||
} |
|
||||||
double[][] result = new double[1][matrixColCount]; |
|
||||||
result[0] = matrix[x]; |
|
||||||
return new Matrix(result); |
|
||||||
} |
|
||||||
|
|
||||||
/** |
|
||||||
* 获取矩阵指定列 |
|
||||||
* |
|
||||||
* @param y |
|
||||||
* @return |
|
||||||
*/ |
|
||||||
public Matrix getColOfIdx(int y) throws IllegalArgumentException { |
|
||||||
if (matrix == null || matrixRowCount == 0 || matrixColCount == 0) { |
|
||||||
throw new IllegalArgumentException("矩阵为空"); |
|
||||||
} |
|
||||||
if (y > matrixColCount - 1) { |
|
||||||
throw new IllegalArgumentException("索引y越界"); |
|
||||||
} |
|
||||||
double[][] result = new double[matrixRowCount][1]; |
|
||||||
for (int i = 0; i < matrixRowCount; i++) { |
|
||||||
result[i][0] = matrix[i][y]; |
|
||||||
} |
|
||||||
return new Matrix(result); |
|
||||||
} |
|
||||||
|
|
||||||
/** |
|
||||||
* 设置矩阵中x,y位置元素的值 |
|
||||||
* @param x |
|
||||||
* @param y |
|
||||||
* @param val |
|
||||||
*/ |
|
||||||
public void setValue(int x, int y, double val) { |
|
||||||
if (x > this.matrixRowCount - 1) { |
|
||||||
throw new IllegalArgumentException("行索引越界"); |
|
||||||
} |
|
||||||
if (y > this.matrixColCount - 1) { |
|
||||||
throw new IllegalArgumentException("列索引越界"); |
|
||||||
} |
|
||||||
this.matrix[x][y] = val; |
|
||||||
} |
|
||||||
|
|
||||||
/** |
|
||||||
* 矩阵乘矩阵 |
|
||||||
* |
|
||||||
* @param a |
|
||||||
* @return |
|
||||||
* @throws IllegalArgumentException |
|
||||||
*/ |
|
||||||
public Matrix multiple(Matrix a) throws IllegalArgumentException { |
|
||||||
if (matrix == null || matrixRowCount == 0 || matrixColCount == 0) { |
|
||||||
throw new IllegalArgumentException("矩阵为空"); |
|
||||||
} |
|
||||||
if (a.getMatrix() == null || a.getMatrixRowCount() == 0 || a.getMatrixColCount() == 0) { |
|
||||||
throw new IllegalArgumentException("参数矩阵为空"); |
|
||||||
} |
|
||||||
if (matrixColCount != a.getMatrixRowCount()) { |
|
||||||
throw new IllegalArgumentException("矩阵纬度不同,不可计算"); |
|
||||||
} |
|
||||||
double[][] result = new double[matrixRowCount][a.getMatrixColCount()]; |
|
||||||
for (int i = 0; i < matrixRowCount; i++) { |
|
||||||
for (int j = 0; j < a.getMatrixColCount(); j++) { |
|
||||||
for (int k = 0; k < matrixColCount; k++) { |
|
||||||
result[i][j] = result[i][j] + matrix[i][k] * a.getMatrix()[k][j]; |
|
||||||
} |
|
||||||
} |
|
||||||
} |
|
||||||
return new Matrix(result); |
|
||||||
} |
|
||||||
|
|
||||||
/** |
|
||||||
* 矩阵乘一个数字 |
|
||||||
* |
|
||||||
* @param a |
|
||||||
* @return |
|
||||||
*/ |
|
||||||
public Matrix multiple(double a) throws IllegalArgumentException { |
|
||||||
if (matrix == null || matrixRowCount == 0 || matrixColCount == 0) { |
|
||||||
throw new IllegalArgumentException("矩阵为空"); |
|
||||||
} |
|
||||||
double[][] result = new double[matrixRowCount][matrixColCount]; |
|
||||||
for (int i = 0; i < matrixRowCount; i++) { |
|
||||||
for (int j = 0; j < matrixColCount; j++) { |
|
||||||
result[i][j] = matrix[i][j] * a; |
|
||||||
} |
|
||||||
} |
|
||||||
return new Matrix(result); |
|
||||||
} |
|
||||||
|
|
||||||
/** |
|
||||||
* 矩阵点乘 |
|
||||||
* |
|
||||||
* @param a |
|
||||||
* @return |
|
||||||
*/ |
|
||||||
public Matrix pointMultiple(Matrix a) throws IllegalArgumentException { |
|
||||||
if (matrix == null || matrixRowCount == 0 || matrixColCount == 0) { |
|
||||||
throw new IllegalArgumentException("矩阵为空"); |
|
||||||
} |
|
||||||
if (a.getMatrix() == null || a.getMatrixRowCount() == 0 || a.getMatrixColCount() == 0) { |
|
||||||
throw new IllegalArgumentException("参数矩阵为空"); |
|
||||||
} |
|
||||||
if (matrixRowCount != a.getMatrixRowCount() && matrixColCount != a.getMatrixColCount()) { |
|
||||||
throw new IllegalArgumentException("矩阵纬度不同,不可计算"); |
|
||||||
} |
|
||||||
double[][] result = new double[matrixRowCount][matrixColCount]; |
|
||||||
for (int i = 0; i < matrixRowCount; i++) { |
|
||||||
for (int j = 0; j < matrixColCount; j++) { |
|
||||||
result[i][j] = matrix[i][j] * a.getMatrix()[i][j]; |
|
||||||
} |
|
||||||
} |
|
||||||
return new Matrix(result); |
|
||||||
} |
|
||||||
|
|
||||||
/** |
|
||||||
* 矩阵除一个数字 |
|
||||||
* @param a |
|
||||||
* @return |
|
||||||
* @throws IllegalArgumentException |
|
||||||
*/ |
|
||||||
public Matrix divide(double a) throws IllegalArgumentException { |
|
||||||
if (matrix == null || matrixRowCount == 0 || matrixColCount == 0) { |
|
||||||
throw new IllegalArgumentException("矩阵为空"); |
|
||||||
} |
|
||||||
double[][] result = new double[matrixRowCount][matrixColCount]; |
|
||||||
for (int i = 0; i < matrixRowCount; i++) { |
|
||||||
for (int j = 0; j < matrixColCount; j++) { |
|
||||||
result[i][j] = matrix[i][j] / a; |
|
||||||
} |
|
||||||
} |
|
||||||
return new Matrix(result); |
|
||||||
} |
|
||||||
|
|
||||||
/** |
|
||||||
* 矩阵加法 |
|
||||||
* |
|
||||||
* @param a |
|
||||||
* @return |
|
||||||
*/ |
|
||||||
public Matrix plus(Matrix a) throws IllegalArgumentException { |
|
||||||
if (matrix == null || matrixRowCount == 0 || matrixColCount == 0) { |
|
||||||
throw new IllegalArgumentException("矩阵为空"); |
|
||||||
} |
|
||||||
if (a.getMatrix() == null || a.getMatrixRowCount() == 0 || a.getMatrixColCount() == 0) { |
|
||||||
throw new IllegalArgumentException("参数矩阵为空"); |
|
||||||
} |
|
||||||
if (matrixRowCount != a.getMatrixRowCount() && matrixColCount != a.getMatrixColCount()) { |
|
||||||
throw new IllegalArgumentException("矩阵纬度不同,不可计算"); |
|
||||||
} |
|
||||||
double[][] result = new double[matrixRowCount][matrixColCount]; |
|
||||||
for (int i = 0; i < matrixRowCount; i++) { |
|
||||||
for (int j = 0; j < matrixColCount; j++) { |
|
||||||
result[i][j] = matrix[i][j] + a.getMatrix()[i][j]; |
|
||||||
} |
|
||||||
} |
|
||||||
return new Matrix(result); |
|
||||||
} |
|
||||||
|
|
||||||
/** |
|
||||||
* 矩阵加一个数字 |
|
||||||
* @param a |
|
||||||
* @return |
|
||||||
* @throws IllegalArgumentException |
|
||||||
*/ |
|
||||||
public Matrix plus(double a) throws IllegalArgumentException { |
|
||||||
if (matrix == null || matrixRowCount == 0 || matrixColCount == 0) { |
|
||||||
throw new IllegalArgumentException("矩阵为空"); |
|
||||||
} |
|
||||||
double[][] result = new double[matrixRowCount][matrixColCount]; |
|
||||||
for (int i = 0; i < matrixRowCount; i++) { |
|
||||||
for (int j = 0; j < matrixColCount; j++) { |
|
||||||
result[i][j] = matrix[i][j] + a; |
|
||||||
} |
|
||||||
} |
|
||||||
return new Matrix(result); |
|
||||||
} |
|
||||||
|
|
||||||
/** |
|
||||||
* 矩阵减法 |
|
||||||
* |
|
||||||
* @param a |
|
||||||
* @return |
|
||||||
*/ |
|
||||||
public Matrix subtract(Matrix a) throws IllegalArgumentException { |
|
||||||
if (matrix == null || matrixRowCount == 0 || matrixColCount == 0) { |
|
||||||
throw new IllegalArgumentException("矩阵为空"); |
|
||||||
} |
|
||||||
if (a.getMatrix() == null || a.getMatrixRowCount() == 0 || a.getMatrixColCount() == 0) { |
|
||||||
throw new IllegalArgumentException("参数矩阵为空"); |
|
||||||
} |
|
||||||
if (matrixRowCount != a.getMatrixRowCount() && matrixColCount != a.getMatrixColCount()) { |
|
||||||
throw new IllegalArgumentException("矩阵纬度不同,不可计算"); |
|
||||||
} |
|
||||||
double[][] result = new double[matrixRowCount][matrixColCount]; |
|
||||||
for (int i = 0; i < matrixRowCount; i++) { |
|
||||||
for (int j = 0; j < matrixColCount; j++) { |
|
||||||
result[i][j] = matrix[i][j] - a.getMatrix()[i][j]; |
|
||||||
} |
|
||||||
} |
|
||||||
return new Matrix(result); |
|
||||||
} |
|
||||||
|
|
||||||
/** |
|
||||||
* 矩阵减一个数字 |
|
||||||
* @param a |
|
||||||
* @return |
|
||||||
* @throws IllegalArgumentException |
|
||||||
*/ |
|
||||||
public Matrix subtract(double a) throws IllegalArgumentException { |
|
||||||
if (matrix == null || matrixRowCount == 0 || matrixColCount == 0) { |
|
||||||
throw new IllegalArgumentException("矩阵为空"); |
|
||||||
} |
|
||||||
double[][] result = new double[matrixRowCount][matrixColCount]; |
|
||||||
for (int i = 0; i < matrixRowCount; i++) { |
|
||||||
for (int j = 0; j < matrixColCount; j++) { |
|
||||||
result[i][j] = matrix[i][j] - a; |
|
||||||
} |
|
||||||
} |
|
||||||
return new Matrix(result); |
|
||||||
} |
|
||||||
|
|
||||||
/** |
|
||||||
* 矩阵行求和 |
|
||||||
* |
|
||||||
* @return |
|
||||||
*/ |
|
||||||
public Matrix sumRow() throws IllegalArgumentException { |
|
||||||
if (matrix == null || matrixRowCount == 0 || matrixColCount == 0) { |
|
||||||
throw new IllegalArgumentException("矩阵为空"); |
|
||||||
} |
|
||||||
double[][] result = new double[matrixRowCount][1]; |
|
||||||
for (int i = 0; i < matrixRowCount; i++) { |
|
||||||
for (int j = 0; j < matrixColCount; j++) { |
|
||||||
result[i][0] += matrix[i][j]; |
|
||||||
} |
|
||||||
} |
|
||||||
return new Matrix(result); |
|
||||||
} |
|
||||||
|
|
||||||
/** |
|
||||||
* 矩阵列求和 |
|
||||||
* |
|
||||||
* @return |
|
||||||
*/ |
|
||||||
public Matrix sumCol() throws IllegalArgumentException { |
|
||||||
if (matrix == null || matrixRowCount == 0 || matrixColCount == 0) { |
|
||||||
throw new IllegalArgumentException("矩阵为空"); |
|
||||||
} |
|
||||||
double[][] result = new double[1][matrixColCount]; |
|
||||||
for (int i = 0; i < matrixRowCount; i++) { |
|
||||||
for (int j = 0; j < matrixColCount; j++) { |
|
||||||
result[0][j] += matrix[i][j]; |
|
||||||
} |
|
||||||
} |
|
||||||
return new Matrix(result); |
|
||||||
} |
|
||||||
|
|
||||||
/** |
|
||||||
* 矩阵所有元素求和 |
|
||||||
* |
|
||||||
* @return |
|
||||||
*/ |
|
||||||
public double sumAll() throws IllegalArgumentException { |
|
||||||
if (matrix == null || matrixRowCount == 0 || matrixColCount == 0) { |
|
||||||
throw new IllegalArgumentException("矩阵为空"); |
|
||||||
} |
|
||||||
double result = 0; |
|
||||||
for (double[] doubles : matrix) { |
|
||||||
for (int j = 0; j < matrixColCount; j++) { |
|
||||||
result += doubles[j]; |
|
||||||
} |
|
||||||
} |
|
||||||
return result; |
|
||||||
} |
|
||||||
|
|
||||||
/** |
|
||||||
* 矩阵所有元素求平方 |
|
||||||
* |
|
||||||
* @return |
|
||||||
*/ |
|
||||||
public Matrix square() throws IllegalArgumentException { |
|
||||||
if (matrix == null || matrixRowCount == 0 || matrixColCount == 0) { |
|
||||||
throw new IllegalArgumentException("矩阵为空"); |
|
||||||
} |
|
||||||
double[][] result = new double[matrixRowCount][matrixColCount]; |
|
||||||
for (int i = 0; i < matrixRowCount; i++) { |
|
||||||
for (int j = 0; j < matrixColCount; j++) { |
|
||||||
result[i][j] = matrix[i][j] * matrix[i][j]; |
|
||||||
} |
|
||||||
} |
|
||||||
return new Matrix(result); |
|
||||||
} |
|
||||||
|
|
||||||
/** |
|
||||||
* 矩阵所有元素求N次方 |
|
||||||
* |
|
||||||
* @return |
|
||||||
*/ |
|
||||||
public Matrix pow(double n) throws IllegalArgumentException { |
|
||||||
if (matrix == null || matrixRowCount == 0 || matrixColCount == 0) { |
|
||||||
throw new IllegalArgumentException("矩阵为空"); |
|
||||||
} |
|
||||||
double[][] result = new double[matrixRowCount][matrixColCount]; |
|
||||||
for (int i = 0; i < matrixRowCount; i++) { |
|
||||||
for (int j = 0; j < matrixColCount; j++) { |
|
||||||
result[i][j] = Math.pow(matrix[i][j],n); |
|
||||||
} |
|
||||||
} |
|
||||||
return new Matrix(result); |
|
||||||
} |
|
||||||
|
|
||||||
/** |
|
||||||
* 矩阵转置 |
|
||||||
* |
|
||||||
* @return |
|
||||||
*/ |
|
||||||
public Matrix transpose() throws IllegalArgumentException { |
|
||||||
if (matrix == null || matrixRowCount == 0 || matrixColCount == 0) { |
|
||||||
throw new IllegalArgumentException("矩阵为空"); |
|
||||||
} |
|
||||||
double[][] result = new double[matrixColCount][matrixRowCount]; |
|
||||||
for (int i = 0; i < matrixRowCount; i++) { |
|
||||||
for (int j = 0; j < matrixColCount; j++) { |
|
||||||
result[j][i] = matrix[i][j]; |
|
||||||
} |
|
||||||
} |
|
||||||
return new Matrix(result); |
|
||||||
} |
|
||||||
|
|
||||||
/** |
|
||||||
* 截取矩阵 |
|
||||||
* @param startRowIndex 开始行索引 |
|
||||||
* @param rowCount 截取行数 |
|
||||||
* @param startColIndex 开始列索引 |
|
||||||
* @param colCount 截取列数 |
|
||||||
* @return |
|
||||||
* @throws IllegalArgumentException |
|
||||||
*/ |
|
||||||
public Matrix subMatrix(int startRowIndex,int rowCount,int startColIndex,int colCount) throws IllegalArgumentException { |
|
||||||
if (startRowIndex + rowCount > matrixRowCount) { |
|
||||||
throw new IllegalArgumentException("行索引越界"); |
|
||||||
} |
|
||||||
if (startColIndex + colCount> matrixColCount) { |
|
||||||
throw new IllegalArgumentException("列索引越界"); |
|
||||||
} |
|
||||||
double[][] result = new double[rowCount][colCount]; |
|
||||||
for (int i = startRowIndex; i < startRowIndex + rowCount; i++) { |
|
||||||
if (startColIndex + colCount - startColIndex >= 0) |
|
||||||
System.arraycopy(matrix[i], startColIndex, result[i - startRowIndex], 0, colCount); |
|
||||||
} |
|
||||||
return new Matrix(result); |
|
||||||
} |
|
||||||
|
|
||||||
/** |
|
||||||
* 矩阵合并 |
|
||||||
* @param direction 合并方向,1为横向,2为竖向 |
|
||||||
* @param a |
|
||||||
* @return |
|
||||||
* @throws IllegalArgumentException |
|
||||||
*/ |
|
||||||
public Matrix splice(int direction, Matrix a) throws IllegalArgumentException { |
|
||||||
if (matrix == null || matrixRowCount == 0 || matrixColCount == 0) { |
|
||||||
throw new IllegalArgumentException("矩阵为空"); |
|
||||||
} |
|
||||||
if (a.getMatrix() == null || a.getMatrixRowCount() == 0 || a.getMatrixColCount() == 0) { |
|
||||||
throw new IllegalArgumentException("参数矩阵为空"); |
|
||||||
} |
|
||||||
if(direction == 1){ |
|
||||||
//横向拼接
|
|
||||||
if (matrixRowCount != a.getMatrixRowCount()) { |
|
||||||
throw new IllegalArgumentException("矩阵行数不一致,无法拼接"); |
|
||||||
} |
|
||||||
double[][] result = new double[matrixRowCount][matrixColCount + a.getMatrixColCount()]; |
|
||||||
for (int i = 0; i < matrixRowCount; i++) { |
|
||||||
System.arraycopy(matrix[i],0,result[i],0,matrixColCount); |
|
||||||
System.arraycopy(a.getMatrix()[i],0,result[i],matrixColCount,a.getMatrixColCount()); |
|
||||||
} |
|
||||||
return new Matrix(result); |
|
||||||
}else if(direction == 2){ |
|
||||||
//纵向拼接
|
|
||||||
if (matrixColCount != a.getMatrixColCount()) { |
|
||||||
throw new IllegalArgumentException("矩阵列数不一致,无法拼接"); |
|
||||||
} |
|
||||||
double[][] result = new double[matrixRowCount + a.getMatrixRowCount()][matrixColCount]; |
|
||||||
for (int i = 0; i < matrixRowCount; i++) { |
|
||||||
result[i] = matrix[i]; |
|
||||||
} |
|
||||||
for (int i = 0; i < a.getMatrixRowCount(); i++) { |
|
||||||
result[matrixRowCount + i] = a.getMatrix()[i]; |
|
||||||
} |
|
||||||
return new Matrix(result); |
|
||||||
}else{ |
|
||||||
throw new IllegalArgumentException("方向参数有误"); |
|
||||||
} |
|
||||||
} |
|
||||||
/** |
|
||||||
* 扩展矩阵 |
|
||||||
* @param direction 扩展方向,1为横向,2为竖向 |
|
||||||
* @param a |
|
||||||
* @return |
|
||||||
* @throws IllegalArgumentException |
|
||||||
*/ |
|
||||||
public Matrix extend(int direction , int a) throws IllegalArgumentException { |
|
||||||
if (matrix == null || matrixRowCount == 0 || matrixColCount == 0) { |
|
||||||
throw new IllegalArgumentException("矩阵为空"); |
|
||||||
} |
|
||||||
if(direction == 1){ |
|
||||||
//横向复制
|
|
||||||
double[][] result = new double[matrixRowCount][matrixColCount*a]; |
|
||||||
for (int i = 0; i < matrixRowCount; i++) { |
|
||||||
for (int j = 0; j < a; j++) { |
|
||||||
System.arraycopy(matrix[i],0,result[i],j*matrixColCount,matrixColCount); |
|
||||||
} |
|
||||||
} |
|
||||||
return new Matrix(result); |
|
||||||
}else if(direction == 2){ |
|
||||||
//纵向复制
|
|
||||||
double[][] result = new double[matrixRowCount*a][matrixColCount]; |
|
||||||
for (int i = 0; i < matrixRowCount*a; i++) { |
|
||||||
result[i] = matrix[i%matrixRowCount]; |
|
||||||
} |
|
||||||
return new Matrix(result); |
|
||||||
}else{ |
|
||||||
throw new IllegalArgumentException("方向参数有误"); |
|
||||||
} |
|
||||||
} |
|
||||||
/** |
|
||||||
* 获取每列的平均值 |
|
||||||
* @return |
|
||||||
* @throws IllegalArgumentException |
|
||||||
*/ |
|
||||||
public Matrix getColAvg() throws IllegalArgumentException { |
|
||||||
Matrix tmp = this.sumCol(); |
|
||||||
return tmp.divide(matrixRowCount); |
|
||||||
} |
|
||||||
|
|
||||||
/** |
|
||||||
* 矩阵行排序 |
|
||||||
* @param index 根据第几列的数进行行排序 |
|
||||||
* @param order 排序顺序,升序或降序 |
|
||||||
* @return |
|
||||||
* @throws IllegalArgumentException |
|
||||||
*/ |
|
||||||
public void sort(int index, OrderEnum order) throws IllegalArgumentException{ |
|
||||||
if (matrix == null || matrixRowCount == 0 || matrixColCount == 0) { |
|
||||||
throw new IllegalArgumentException("矩阵为空"); |
|
||||||
} |
|
||||||
if(index >= matrixColCount){ |
|
||||||
throw new IllegalArgumentException("排序索引index越界"); |
|
||||||
} |
|
||||||
sort(index,order,0,this.matrixRowCount - 1); |
|
||||||
} |
|
||||||
|
|
||||||
/** |
|
||||||
* 判断是否是方阵 |
|
||||||
* 行列数相等,并且不等于0 |
|
||||||
* @return |
|
||||||
*/ |
|
||||||
public boolean isSquareMatrix(){ |
|
||||||
return matrixColCount == matrixRowCount && matrixColCount != 0; |
|
||||||
} |
|
||||||
|
|
||||||
@Override |
|
||||||
public String toString() { |
|
||||||
StringBuilder stringBuilder = new StringBuilder(); |
|
||||||
stringBuilder.append("\r\n"); |
|
||||||
for (int i = 0; i < matrixRowCount; i++) { |
|
||||||
stringBuilder.append("# "); |
|
||||||
for (int j = 0; j < matrixColCount; j++) { |
|
||||||
stringBuilder.append(matrix[i][j]).append("\t "); |
|
||||||
} |
|
||||||
stringBuilder.append("#\r\n"); |
|
||||||
} |
|
||||||
stringBuilder.append("\r\n"); |
|
||||||
return stringBuilder.toString(); |
|
||||||
} |
|
||||||
|
|
||||||
private void sort(int index,OrderEnum order,int start,int end){ |
|
||||||
if(start >= end){ |
|
||||||
return; |
|
||||||
} |
|
||||||
int tmp = partition(index,order,start,end); |
|
||||||
sort(index,order, start, tmp - 1); |
|
||||||
sort(index,order, tmp + 1, end); |
|
||||||
} |
|
||||||
|
|
||||||
private int partition(int index,OrderEnum order,int start,int end){ |
|
||||||
int l = start + 1,r = end; |
|
||||||
double v = matrix[start][index]; |
|
||||||
switch (order){ |
|
||||||
case ASC: |
|
||||||
while(true){ |
|
||||||
while(matrix[r][index] >= v && r > start){ |
|
||||||
r--; |
|
||||||
} |
|
||||||
while(matrix[l][index] <= v && l < end){ |
|
||||||
l++; |
|
||||||
} |
|
||||||
if(l >= r){ |
|
||||||
break; |
|
||||||
} |
|
||||||
double[] tmp = matrix[r]; |
|
||||||
matrix[r] = matrix[l]; |
|
||||||
matrix[l] = tmp; |
|
||||||
} |
|
||||||
break; |
|
||||||
case DESC: |
|
||||||
while(true){ |
|
||||||
while(matrix[r][index] <= v && r > start){ |
|
||||||
r--; |
|
||||||
} |
|
||||||
while(matrix[l][index] >= v && l < end){ |
|
||||||
l++; |
|
||||||
} |
|
||||||
if(l >= r){ |
|
||||||
break; |
|
||||||
} |
|
||||||
double[] tmp = matrix[r]; |
|
||||||
matrix[r] = matrix[l]; |
|
||||||
matrix[l] = tmp; |
|
||||||
} |
|
||||||
break; |
|
||||||
} |
|
||||||
double[] tmp = matrix[r]; |
|
||||||
matrix[r] = matrix[start]; |
|
||||||
matrix[start] = tmp; |
|
||||||
return r; |
|
||||||
} |
|
||||||
} |
|
@ -1,53 +0,0 @@ |
|||||||
package com.mh.algorithm.utils; |
|
||||||
|
|
||||||
import com.mh.algorithm.matrix.Matrix; |
|
||||||
|
|
||||||
import java.util.ArrayList; |
|
||||||
|
|
||||||
public class CsvInfo { |
|
||||||
private String[] header; |
|
||||||
private int csvRowCount; |
|
||||||
private int csvColCount; |
|
||||||
private ArrayList<String[]> csvFileList; |
|
||||||
|
|
||||||
public String[] getHeader() { |
|
||||||
return header; |
|
||||||
} |
|
||||||
|
|
||||||
public void setHeader(String[] header) { |
|
||||||
this.header = header; |
|
||||||
} |
|
||||||
|
|
||||||
public int getCsvRowCount() { |
|
||||||
return csvRowCount; |
|
||||||
} |
|
||||||
|
|
||||||
public int getCsvColCount() { |
|
||||||
return csvColCount; |
|
||||||
} |
|
||||||
|
|
||||||
public ArrayList<String[]> getCsvFileList() { |
|
||||||
return csvFileList; |
|
||||||
} |
|
||||||
|
|
||||||
public void setCsvFileList(ArrayList<String[]> csvFileList) { |
|
||||||
this.csvFileList = csvFileList; |
|
||||||
this.csvColCount = csvFileList.get(0) != null?csvFileList.get(0).length:0; |
|
||||||
this.csvRowCount = csvFileList.size(); |
|
||||||
} |
|
||||||
|
|
||||||
public Matrix toMatrix() throws Exception { |
|
||||||
double[][] arr = new double[csvFileList.size()][csvFileList.get(0).length]; |
|
||||||
for (int i = 0; i < csvFileList.size(); i++) { |
|
||||||
for (int j = 0; j < csvFileList.get(0).length; j++) { |
|
||||||
try { |
|
||||||
arr[i][j] = Double.parseDouble(csvFileList.get(i)[j]); |
|
||||||
}catch (NumberFormatException e){ |
|
||||||
throw new Exception("Csv中含有非数字字符,无法转换成Matrix对象"); |
|
||||||
} |
|
||||||
} |
|
||||||
} |
|
||||||
return new Matrix(arr); |
|
||||||
} |
|
||||||
|
|
||||||
} |
|
@ -1,66 +0,0 @@ |
|||||||
package com.mh.algorithm.utils; |
|
||||||
|
|
||||||
import com.csvreader.CsvReader; |
|
||||||
import com.csvreader.CsvWriter; |
|
||||||
import com.mh.algorithm.matrix.Matrix; |
|
||||||
|
|
||||||
import java.io.IOException; |
|
||||||
import java.nio.charset.StandardCharsets; |
|
||||||
import java.util.ArrayList; |
|
||||||
|
|
||||||
public class CsvUtil { |
|
||||||
/** |
|
||||||
* 获取CSV中的信息 |
|
||||||
* @param hasHeader 是否含有表头 |
|
||||||
* @param path CSV文件的路径 |
|
||||||
* @return |
|
||||||
* @throws IOException |
|
||||||
*/ |
|
||||||
public static CsvInfo getCsvInfo(boolean hasHeader , String path) throws IOException { |
|
||||||
//创建csv对象,存储csv中的信息
|
|
||||||
CsvInfo csvInfo = new CsvInfo(); |
|
||||||
//获取CsvReader流
|
|
||||||
CsvReader csvReader = new CsvReader(path, ',', StandardCharsets.UTF_8); |
|
||||||
if(hasHeader){ |
|
||||||
csvReader.readHeaders(); |
|
||||||
} |
|
||||||
//获取Csv中的所有记录
|
|
||||||
ArrayList<String[]> csvFileList = new ArrayList<String[]>(); |
|
||||||
while (csvReader.readRecord()) { |
|
||||||
csvFileList.add(csvReader.getValues()); |
|
||||||
} |
|
||||||
//赋值
|
|
||||||
csvInfo.setHeader(csvReader.getHeaders()); |
|
||||||
csvInfo.setCsvFileList(csvFileList); |
|
||||||
//关闭流
|
|
||||||
csvReader.close(); |
|
||||||
return csvInfo; |
|
||||||
} |
|
||||||
|
|
||||||
/** |
|
||||||
* 将矩阵写入到csv文件中 |
|
||||||
* @param header 表头 |
|
||||||
* @param data 以矩阵形式存放的数据 |
|
||||||
* @param path 写入的文件地址 |
|
||||||
* @throws Exception |
|
||||||
*/ |
|
||||||
public static void createCsvFile(String[] header,Matrix data,String path) throws Exception { |
|
||||||
|
|
||||||
if (header!=null && header.length != data.getMatrixColCount()) { |
|
||||||
throw new Exception("表头列数与数据列数不符"); |
|
||||||
} |
|
||||||
CsvWriter csvWriter = new CsvWriter(path, ',', StandardCharsets.UTF_8); |
|
||||||
|
|
||||||
if (header != null) { |
|
||||||
csvWriter.writeRecord(header); |
|
||||||
} |
|
||||||
for (int i = 0; i < data.getMatrixRowCount(); i++) { |
|
||||||
String[] record = new String[data.getMatrixColCount()]; |
|
||||||
for (int j = 0; j < data.getMatrixColCount(); j++) { |
|
||||||
record[j] = data.getValOfIdx(i, j)+""; |
|
||||||
} |
|
||||||
csvWriter.writeRecord(record); |
|
||||||
} |
|
||||||
csvWriter.close(); |
|
||||||
} |
|
||||||
} |
|
@ -1,20 +0,0 @@ |
|||||||
package com.mh.algorithm.utils; |
|
||||||
|
|
||||||
/** |
|
||||||
* @program: top-algorithm-set |
|
||||||
* @description: DoubleTool |
|
||||||
* @author: Mr.Zhao |
|
||||||
* @create: 2020-11-12 21:54 |
|
||||||
**/ |
|
||||||
public class DoubleUtil { |
|
||||||
|
|
||||||
private static final Double MAX_ERROR = 0.0001; |
|
||||||
|
|
||||||
public static boolean equals(Double a, Double b) { |
|
||||||
return Math.abs(a - b)< MAX_ERROR; |
|
||||||
} |
|
||||||
|
|
||||||
public static boolean equals(Double a, Double b,Double maxError) { |
|
||||||
return Math.abs(a - b)< maxError; |
|
||||||
} |
|
||||||
} |
|
@ -1,297 +0,0 @@ |
|||||||
package com.mh.algorithm.utils; |
|
||||||
|
|
||||||
import Jama.EigenvalueDecomposition; |
|
||||||
import com.mh.algorithm.matrix.Matrix; |
|
||||||
|
|
||||||
import java.util.*; |
|
||||||
|
|
||||||
public class MatrixUtil { |
|
||||||
/** |
|
||||||
* 创建一个单位矩阵 |
|
||||||
* @param matrixRowCount 单位矩阵的纬度 |
|
||||||
* @return |
|
||||||
*/ |
|
||||||
public static Matrix eye(int matrixRowCount){ |
|
||||||
double[][] result = new double[matrixRowCount][matrixRowCount]; |
|
||||||
for (int i = 0; i < matrixRowCount; i++) { |
|
||||||
for (int j = 0; j < matrixRowCount; j++) { |
|
||||||
if(i == j){ |
|
||||||
result[i][j] = 1; |
|
||||||
}else{ |
|
||||||
result[i][j] = 0; |
|
||||||
} |
|
||||||
} |
|
||||||
} |
|
||||||
return new Matrix(result); |
|
||||||
} |
|
||||||
|
|
||||||
/** |
|
||||||
* 求矩阵的逆 |
|
||||||
* 原理:AE=EA^-1 |
|
||||||
* @param a |
|
||||||
* @return |
|
||||||
* @throws Exception |
|
||||||
*/ |
|
||||||
public static Matrix inv(Matrix a) throws Exception { |
|
||||||
if (!invable(a)) { |
|
||||||
throw new Exception("矩阵不可逆"); |
|
||||||
} |
|
||||||
// [a|E]
|
|
||||||
Matrix b = a.splice(1, eye(a.getMatrixRowCount())); |
|
||||||
double[][] data = b.getMatrix(); |
|
||||||
int rowCount = b.getMatrixRowCount(); |
|
||||||
int colCount = b.getMatrixColCount(); |
|
||||||
//此处应用a的列数,为简化,直接用b的行数
|
|
||||||
for (int j = 0; j < rowCount; j++) { |
|
||||||
//若遇到0则交换两行
|
|
||||||
int notZeroRow = -2; |
|
||||||
if(data[j][j] == 0){ |
|
||||||
notZeroRow = -1; |
|
||||||
for (int l = j; l < rowCount; l++) { |
|
||||||
if (data[l][j] != 0) { |
|
||||||
notZeroRow = l; |
|
||||||
break; |
|
||||||
} |
|
||||||
} |
|
||||||
} |
|
||||||
if (notZeroRow == -1) { |
|
||||||
throw new Exception("矩阵不可逆"); |
|
||||||
}else if(notZeroRow != -2){ |
|
||||||
//交换j与notZeroRow两行
|
|
||||||
double[] tmp = data[j]; |
|
||||||
data[j] = data[notZeroRow]; |
|
||||||
data[notZeroRow] = tmp; |
|
||||||
} |
|
||||||
//将第data[j][j]化为1
|
|
||||||
if (data[j][j] != 1) { |
|
||||||
double multiple = data[j][j]; |
|
||||||
for (int colIdx = j; colIdx < colCount; colIdx++) { |
|
||||||
data[j][colIdx] /= multiple; |
|
||||||
} |
|
||||||
} |
|
||||||
//行与行相减
|
|
||||||
for (int i = 0; i < rowCount; i++) { |
|
||||||
if (i != j) { |
|
||||||
double multiple = data[i][j] / data[j][j]; |
|
||||||
//遍历行中的列
|
|
||||||
for (int k = j; k < colCount; k++) { |
|
||||||
data[i][k] = data[i][k] - multiple * data[j][k]; |
|
||||||
} |
|
||||||
} |
|
||||||
} |
|
||||||
} |
|
||||||
Matrix result = new Matrix(data); |
|
||||||
return result.subMatrix(0, rowCount, rowCount, rowCount); |
|
||||||
} |
|
||||||
|
|
||||||
/** |
|
||||||
* 求矩阵的伴随矩阵 |
|
||||||
* 原理:A*=|A|A^-1 |
|
||||||
* @param a |
|
||||||
* @return |
|
||||||
* @throws Exception |
|
||||||
*/ |
|
||||||
public static Matrix adj(Matrix a) throws Exception { |
|
||||||
return inv(a).multiple(det(a)); |
|
||||||
} |
|
||||||
|
|
||||||
/** |
|
||||||
* 矩阵转成上三角矩阵 |
|
||||||
* @param a |
|
||||||
* @return |
|
||||||
* @throws Exception |
|
||||||
*/ |
|
||||||
public static Matrix getTopTriangle(Matrix a) throws Exception { |
|
||||||
if (!a.isSquareMatrix()) { |
|
||||||
throw new Exception("不是方阵无法进行计算"); |
|
||||||
} |
|
||||||
int matrixHeight = a.getMatrixRowCount(); |
|
||||||
double[][] result = a.getMatrix(); |
|
||||||
//遍历列
|
|
||||||
for (int j = 0; j < matrixHeight; j++) { |
|
||||||
//遍历行
|
|
||||||
for (int i = j+1; i < matrixHeight; i++) { |
|
||||||
//若遇到0则交换两行
|
|
||||||
int notZeroRow = -2; |
|
||||||
if(result[j][j] == 0){ |
|
||||||
notZeroRow = -1; |
|
||||||
for (int l = i; l < matrixHeight; l++) { |
|
||||||
if (result[l][j] != 0) { |
|
||||||
notZeroRow = l; |
|
||||||
break; |
|
||||||
} |
|
||||||
} |
|
||||||
} |
|
||||||
if (notZeroRow == -1) { |
|
||||||
throw new Exception("矩阵不可逆"); |
|
||||||
}else if(notZeroRow != -2){ |
|
||||||
//交换j与notZeroRow两行
|
|
||||||
double[] tmp = result[j]; |
|
||||||
result[j] = result[notZeroRow]; |
|
||||||
result[notZeroRow] = tmp; |
|
||||||
} |
|
||||||
|
|
||||||
double multiple = result[i][j]/result[j][j]; |
|
||||||
//遍历行中的列
|
|
||||||
for (int k = j; k < matrixHeight; k++) { |
|
||||||
result[i][k] = result[i][k] - multiple * result[j][k]; |
|
||||||
} |
|
||||||
} |
|
||||||
} |
|
||||||
return new Matrix(result); |
|
||||||
} |
|
||||||
|
|
||||||
/** |
|
||||||
* 计算矩阵的行列式 |
|
||||||
* @param a |
|
||||||
* @return |
|
||||||
* @throws Exception |
|
||||||
*/ |
|
||||||
public static double det(Matrix a) throws Exception { |
|
||||||
//将矩阵转成上三角矩阵
|
|
||||||
Matrix b = MatrixUtil.getTopTriangle(a); |
|
||||||
double result = 1; |
|
||||||
//计算矩阵行列式
|
|
||||||
for (int i = 0; i < b.getMatrixRowCount(); i++) { |
|
||||||
result *= b.getValOfIdx(i, i); |
|
||||||
} |
|
||||||
return result; |
|
||||||
} |
|
||||||
/** |
|
||||||
* 获取协方差矩阵 |
|
||||||
* @param a |
|
||||||
* @return |
|
||||||
* @throws Exception |
|
||||||
*/ |
|
||||||
public static Matrix cov(Matrix a) throws Exception { |
|
||||||
if (a.getMatrix() == null) { |
|
||||||
throw new Exception("矩阵为空"); |
|
||||||
} |
|
||||||
Matrix avg = a.getColAvg().extend(2, a.getMatrixRowCount()); |
|
||||||
Matrix tmp = a.subtract(avg); |
|
||||||
return tmp.transpose().multiple(tmp).multiple(1/((double) a.getMatrixRowCount() -1)); |
|
||||||
} |
|
||||||
|
|
||||||
/** |
|
||||||
* 判断矩阵是否可逆 |
|
||||||
* 如果可转为上三角矩阵则可逆 |
|
||||||
* @param a |
|
||||||
* @return |
|
||||||
*/ |
|
||||||
public static boolean invable(Matrix a) { |
|
||||||
try { |
|
||||||
getTopTriangle(a); |
|
||||||
return true; |
|
||||||
} catch (Exception e) { |
|
||||||
return false; |
|
||||||
} |
|
||||||
} |
|
||||||
|
|
||||||
/** |
|
||||||
* 获取矩阵的特征值矩阵,调用Jama中的getV方法 |
|
||||||
* @param a |
|
||||||
* @return |
|
||||||
*/ |
|
||||||
public static Matrix getV(Matrix a) { |
|
||||||
EigenvalueDecomposition eig = new EigenvalueDecomposition(new Jama.Matrix(a.getMatrix())); |
|
||||||
return new Matrix(eig.getV().getArray()); |
|
||||||
} |
|
||||||
|
|
||||||
/** |
|
||||||
* 取特征值实部 |
|
||||||
* @param a |
|
||||||
* @return |
|
||||||
*/ |
|
||||||
public double[] getRealEigenvalues(Matrix a){ |
|
||||||
EigenvalueDecomposition eig = new EigenvalueDecomposition(new Jama.Matrix(a.getMatrix())); |
|
||||||
return eig.getRealEigenvalues(); |
|
||||||
} |
|
||||||
|
|
||||||
/** |
|
||||||
* 取特征值虚部 |
|
||||||
* @param a |
|
||||||
* @return |
|
||||||
*/ |
|
||||||
public double[] getImagEigenvalues(Matrix a){ |
|
||||||
EigenvalueDecomposition eig = new EigenvalueDecomposition(new Jama.Matrix(a.getMatrix())); |
|
||||||
return eig.getImagEigenvalues(); |
|
||||||
} |
|
||||||
|
|
||||||
/** |
|
||||||
* 取块对角特征值矩阵 |
|
||||||
* @param a |
|
||||||
* @return |
|
||||||
*/ |
|
||||||
public static Matrix getD(Matrix a) { |
|
||||||
EigenvalueDecomposition eig = new EigenvalueDecomposition(new Jama.Matrix(a.getMatrix())); |
|
||||||
return new Matrix(eig.getD().getArray()); |
|
||||||
} |
|
||||||
|
|
||||||
/** |
|
||||||
* 数据归一化 |
|
||||||
* @param a 要归一化的数据 |
|
||||||
* @param normalizationMin 要归一化的区间下限 |
|
||||||
* @param normalizationMax 要归一化的区间上限 |
|
||||||
* @return |
|
||||||
*/ |
|
||||||
public static Map<String, Object> normalize(Matrix a, double normalizationMin, double normalizationMax) throws Exception { |
|
||||||
HashMap<String, Object> result = new HashMap<>(); |
|
||||||
double[][] maxArr = new double[1][a.getMatrixColCount()]; |
|
||||||
double[][] minArr = new double[1][a.getMatrixColCount()]; |
|
||||||
double[][] res = new double[a.getMatrixRowCount()][a.getMatrixColCount()]; |
|
||||||
for (int i = 0; i < a.getMatrixColCount(); i++) { |
|
||||||
List tmp = new ArrayList(); |
|
||||||
for (int j = 0; j < a.getMatrixRowCount(); j++) { |
|
||||||
tmp.add(a.getValOfIdx(j,i)); |
|
||||||
} |
|
||||||
double max = (double) Collections.max(tmp); |
|
||||||
double min = (double) Collections.min(tmp); |
|
||||||
//数据归一化(注:若max与min均为0则不需要归一化)
|
|
||||||
if (max != 0 || min != 0) { |
|
||||||
for (int j = 0; j < a.getMatrixRowCount(); j++) { |
|
||||||
try { |
|
||||||
if ((a.getValOfIdx(j,i) - min) == 0 || (max - min) == 0) { |
|
||||||
res[j][i] = normalizationMin; |
|
||||||
continue; |
|
||||||
} |
|
||||||
res[j][i] = normalizationMin + (a.getValOfIdx(j,i) - min) / (max - min) * (normalizationMax - normalizationMin); |
|
||||||
} catch (IllegalArgumentException e) { |
|
||||||
res[j][i] = 0; |
|
||||||
} |
|
||||||
} |
|
||||||
} |
|
||||||
maxArr[0][i] = max; |
|
||||||
minArr[0][i] = min; |
|
||||||
} |
|
||||||
result.put("max", new Matrix(maxArr)); |
|
||||||
result.put("min", new Matrix(minArr)); |
|
||||||
result.put("res", new Matrix(res)); |
|
||||||
return result; |
|
||||||
} |
|
||||||
|
|
||||||
/** |
|
||||||
* 反归一化 |
|
||||||
* @param a 要反归一化的数据 |
|
||||||
* @param normalizationMin 要反归一化的区间下限 |
|
||||||
* @param normalizationMax 要反归一化的区间上限 |
|
||||||
* @param dataMax 数据最大值 |
|
||||||
* @param dataMin 数据最小值 |
|
||||||
* @return |
|
||||||
*/ |
|
||||||
public static Matrix inverseNormalize(Matrix a, double normalizationMax, double normalizationMin , Matrix dataMax,Matrix dataMin){ |
|
||||||
double[][] res = new double[a.getMatrixRowCount()][a.getMatrixColCount()]; |
|
||||||
for (int i = 0; i < a.getMatrixColCount(); i++) { |
|
||||||
//数据反归一化
|
|
||||||
if (dataMin.getValOfIdx(0,i) != 0 || dataMax.getValOfIdx(0,i) != 0) { |
|
||||||
for (int j = 0; j < a.getMatrixRowCount(); j++) { |
|
||||||
if ((a.getValOfIdx(j,i) - normalizationMin) == 0 || (normalizationMax - normalizationMin) == 0) { |
|
||||||
res[j][i] = dataMin.getValOfIdx(0,i); |
|
||||||
continue; |
|
||||||
} |
|
||||||
res[j][i] = dataMin.getValOfIdx(0,i) + (dataMax.getValOfIdx(0,i) - dataMin.getValOfIdx(0,i)) * (a.getValOfIdx(j,i) - normalizationMin) / (normalizationMax - normalizationMin); |
|
||||||
} |
|
||||||
} |
|
||||||
} |
|
||||||
return new Matrix(res); |
|
||||||
} |
|
||||||
} |
|
@ -1,32 +0,0 @@ |
|||||||
package com.mh.algorithm.utils; |
|
||||||
|
|
||||||
import java.io.*; |
|
||||||
|
|
||||||
public class SerializationUtil { |
|
||||||
/** |
|
||||||
* 对象序列化到本地 |
|
||||||
* @param object |
|
||||||
* @throws IOException |
|
||||||
*/ |
|
||||||
public static void serialize(Object object, String path) throws IOException { |
|
||||||
File file = new File(path); |
|
||||||
System.out.println(file.getAbsolutePath()); |
|
||||||
ObjectOutputStream out = new ObjectOutputStream(new FileOutputStream(file)); |
|
||||||
out.writeObject(object); |
|
||||||
out.close(); |
|
||||||
} |
|
||||||
|
|
||||||
/** |
|
||||||
* 对象反序列化 |
|
||||||
* @return |
|
||||||
* @throws IOException |
|
||||||
* @throws ClassNotFoundException |
|
||||||
*/ |
|
||||||
public static Object deSerialization(String path) throws IOException, ClassNotFoundException { |
|
||||||
File file = new File(path); |
|
||||||
ObjectInputStream oin = new ObjectInputStream(new FileInputStream(file)); |
|
||||||
Object object = oin.readObject(); |
|
||||||
oin.close(); |
|
||||||
return object; |
|
||||||
} |
|
||||||
} |
|
@ -1,71 +0,0 @@ |
|||||||
package com.mh.algorithm.bpnn; |
|
||||||
|
|
||||||
import com.mh.algorithm.matrix.Matrix; |
|
||||||
import com.mh.algorithm.utils.CsvInfo; |
|
||||||
import com.mh.algorithm.utils.CsvUtil; |
|
||||||
import com.mh.algorithm.utils.SerializationUtil; |
|
||||||
import org.junit.Test; |
|
||||||
|
|
||||||
import java.util.Date; |
|
||||||
|
|
||||||
public class bpnnTest { |
|
||||||
@Test |
|
||||||
public void test() throws Exception { |
|
||||||
// 创建训练集矩阵
|
|
||||||
CsvInfo csvInfo = CsvUtil.getCsvInfo(true, "D:\\ljf\\my_pro\\top-algorithm-set-dev\\src\\trainDataElec.csv"); |
|
||||||
Matrix trainSet = csvInfo.toMatrix(); |
|
||||||
// 创建BPNN工厂对象
|
|
||||||
BPNeuralNetworkFactory factory = new BPNeuralNetworkFactory(); |
|
||||||
// 创建BP参数对象
|
|
||||||
BPParameter bpParameter = new BPParameter(); |
|
||||||
bpParameter.setInputLayerNeuronCount(2); |
|
||||||
bpParameter.setHiddenLayerNeuronCount(2); |
|
||||||
bpParameter.setOutputLayerNeuronCount(2); |
|
||||||
bpParameter.setPrecision(0.01); |
|
||||||
bpParameter.setMaxTimes(10000); |
|
||||||
|
|
||||||
// 训练BP神经网络
|
|
||||||
System.out.println(new Date()); |
|
||||||
BPModel bpModel = factory.trainBP(bpParameter, trainSet); |
|
||||||
System.out.println(new Date()); |
|
||||||
|
|
||||||
// 将BPModel序列化到本地
|
|
||||||
SerializationUtil.serialize(bpModel, "elec"); |
|
||||||
|
|
||||||
CsvInfo csvInfo2 = CsvUtil.getCsvInfo(true, "D:\\ljf\\my_pro\\top-algorithm-set-dev\\src\\testDataElec.csv"); |
|
||||||
Matrix testSet = csvInfo2.toMatrix(); |
|
||||||
|
|
||||||
Matrix testData1 = testSet.subMatrix(0, testSet.getMatrixRowCount(), 0, testSet.getMatrixColCount() - 2); |
|
||||||
Matrix testLabel = testSet.subMatrix(0, testSet.getMatrixRowCount(), testSet.getMatrixColCount() - 2, 1); |
|
||||||
// 将BPModel反序列化
|
|
||||||
BPModel bpModel1 = (BPModel) SerializationUtil.deSerialization("elec"); |
|
||||||
Matrix result = factory.computeBP(bpModel1, testData1); |
|
||||||
|
|
||||||
int total = result.getMatrixRowCount(); |
|
||||||
int correct = 0; |
|
||||||
for (int i = 0; i < result.getMatrixRowCount(); i++) { |
|
||||||
if(Math.round(result.getValOfIdx(i,0)) == testLabel.getValOfIdx(i,0)){ |
|
||||||
correct++; |
|
||||||
} |
|
||||||
} |
|
||||||
double correctRate = Double.valueOf(correct) / Double.valueOf(total); |
|
||||||
System.out.println(correctRate); |
|
||||||
} |
|
||||||
|
|
||||||
/** |
|
||||||
* 使用示例 |
|
||||||
* @throws Exception |
|
||||||
*/ |
|
||||||
@Test |
|
||||||
public void bpnnUsing() throws Exception{ |
|
||||||
CsvInfo csvInfo = CsvUtil.getCsvInfo(false, "D:\\ljf\\my_pro\\top-algorithm-set-dev\\src\\dataElec.csv"); |
|
||||||
Matrix data = csvInfo.toMatrix(); |
|
||||||
// 将BPModel反序列化
|
|
||||||
BPModel bpModel1 = (BPModel) SerializationUtil.deSerialization("elec"); |
|
||||||
// 创建工厂
|
|
||||||
BPNeuralNetworkFactory factory = new BPNeuralNetworkFactory(); |
|
||||||
Matrix result = factory.computeBP(bpModel1, data); |
|
||||||
CsvUtil.createCsvFile(null,result,"D:\\ljf\\my_pro\\top-algorithm-set-dev\\src\\computeResult.csv"); |
|
||||||
} |
|
||||||
|
|
||||||
} |
|
@ -1,46 +0,0 @@ |
|||||||
//package com.mh.algorithm.knn;
|
|
||||||
//
|
|
||||||
//import com.mh.algorithm.matrix.Matrix;
|
|
||||||
//import com.mh.algorithm.utils.CsvInfo;
|
|
||||||
//import com.mh.algorithm.utils.CsvUtil;
|
|
||||||
//import com.mh.algorithm.utils.DoubleUtil;
|
|
||||||
//import org.junit.Test;
|
|
||||||
//
|
|
||||||
///**
|
|
||||||
// * @program: top-algorithm-set
|
|
||||||
// * @description:
|
|
||||||
// * @author: Mr.Zhao
|
|
||||||
// * @create: 2020-10-26 22:04
|
|
||||||
// **/
|
|
||||||
//public class knnTest {
|
|
||||||
// @Test
|
|
||||||
// public void test() throws Exception {
|
|
||||||
// // 训练集
|
|
||||||
// CsvInfo csvInfo = CsvUtil.getCsvInfo(false, "E:\\jarTest\\trainData.csv");
|
|
||||||
// Matrix trainSet = csvInfo.toMatrix();
|
|
||||||
// Matrix trainSetLabels = trainSet.getColOfIdx(trainSet.getMatrixColCount() - 1);
|
|
||||||
// Matrix trainSetData = trainSet.subMatrix(0, trainSet.getMatrixRowCount(), 0, trainSet.getMatrixColCount() - 1);
|
|
||||||
//
|
|
||||||
// CsvInfo csvInfo1 = CsvUtil.getCsvInfo(false, "E:\\jarTest\\testData.csv");
|
|
||||||
// Matrix testSet = csvInfo1.toMatrix();
|
|
||||||
// Matrix testSetData = trainSet.subMatrix(0, testSet.getMatrixRowCount(), 0, testSet.getMatrixColCount() - 1);
|
|
||||||
// Matrix testSetLabels = trainSet.getColOfIdx(testSet.getMatrixColCount() - 1);
|
|
||||||
//
|
|
||||||
// // 分类
|
|
||||||
// long startTime = System.currentTimeMillis();
|
|
||||||
// Matrix result = KNN.classify(testSetData, trainSetData, trainSetLabels, 5);
|
|
||||||
// long endTime = System.currentTimeMillis();
|
|
||||||
// System.out.println("run time:" + (endTime - startTime));
|
|
||||||
// // 正确率
|
|
||||||
// Matrix error = result.subtract(testSetLabels);
|
|
||||||
// int total = error.getMatrixRowCount();
|
|
||||||
// int correct = 0;
|
|
||||||
// for (int i = 0; i < error.getMatrixRowCount(); i++) {
|
|
||||||
// if (DoubleUtil.equals(error.getValOfIdx(i, 0), 0.0)) {
|
|
||||||
// correct++;
|
|
||||||
// }
|
|
||||||
// }
|
|
||||||
// double correctRate = Double.valueOf(correct) / Double.valueOf(total);
|
|
||||||
// System.out.println("correctRate:"+ correctRate);
|
|
||||||
// }
|
|
||||||
//}
|
|
@ -1,13 +1,13 @@ |
|||||||
//package com.mh.common.annotation;
|
package com.mh.common.annotation; |
||||||
//
|
|
||||||
//import java.lang.annotation.*;
|
import java.lang.annotation.*; |
||||||
//
|
|
||||||
///**
|
/** |
||||||
// * Created by fangzhipeng on 2017/7/12.
|
* Created by fangzhipeng on 2017/7/12. |
||||||
// */
|
*/ |
||||||
//@Target(ElementType.METHOD)
|
@Target(ElementType.METHOD) |
||||||
//@Retention(RetentionPolicy.RUNTIME)
|
@Retention(RetentionPolicy.RUNTIME) |
||||||
//@Documented
|
@Documented |
||||||
//public @interface SysLogger {
|
public @interface SysLogger { |
||||||
// String value() default "";
|
String value() default ""; |
||||||
//}
|
} |
||||||
|
@ -1,42 +1,42 @@ |
|||||||
//package com.mh.common.utils;
|
package com.mh.common.utils; |
||||||
//
|
|
||||||
//import javax.servlet.http.HttpServletResponse;
|
import javax.servlet.http.HttpServletResponse; |
||||||
//import java.io.BufferedInputStream;
|
import java.io.BufferedInputStream; |
||||||
//import java.io.BufferedOutputStream;
|
import java.io.BufferedOutputStream; |
||||||
//import java.io.File;
|
import java.io.File; |
||||||
//import java.io.FileInputStream;
|
import java.io.FileInputStream; |
||||||
//import java.io.InputStream;
|
import java.io.InputStream; |
||||||
//
|
|
||||||
///**
|
/** |
||||||
// * 文件相关操作
|
* 文件相关操作 |
||||||
// * @author Louis
|
* @author Louis |
||||||
// * @date Jan 14, 2019
|
* @date Jan 14, 2019 |
||||||
// */
|
*/ |
||||||
//public class FileUtils {
|
public class FileUtils { |
||||||
//
|
|
||||||
// /**
|
/** |
||||||
// * 下载文件
|
* 下载文件 |
||||||
// * @param response
|
* @param response |
||||||
// * @param file
|
* @param file |
||||||
// * @param newFileName
|
* @param newFileName |
||||||
// */
|
*/ |
||||||
// public static void downloadFile(HttpServletResponse response, File file, String newFileName) {
|
public static void downloadFile(HttpServletResponse response, File file, String newFileName) { |
||||||
// try {
|
try { |
||||||
// response.setHeader("Content-Disposition", "attachment; filename=" + new String(newFileName.getBytes("ISO-8859-1"), "UTF-8"));
|
response.setHeader("Content-Disposition", "attachment; filename=" + new String(newFileName.getBytes("ISO-8859-1"), "UTF-8")); |
||||||
// BufferedOutputStream bos = new BufferedOutputStream(response.getOutputStream());
|
BufferedOutputStream bos = new BufferedOutputStream(response.getOutputStream()); |
||||||
// InputStream is = new FileInputStream(file.getAbsolutePath());
|
InputStream is = new FileInputStream(file.getAbsolutePath()); |
||||||
// BufferedInputStream bis = new BufferedInputStream(is);
|
BufferedInputStream bis = new BufferedInputStream(is); |
||||||
// int length = 0;
|
int length = 0; |
||||||
// byte[] temp = new byte[1 * 1024 * 10];
|
byte[] temp = new byte[1 * 1024 * 10]; |
||||||
// while ((length = bis.read(temp)) != -1) {
|
while ((length = bis.read(temp)) != -1) { |
||||||
// bos.write(temp, 0, length);
|
bos.write(temp, 0, length); |
||||||
// }
|
} |
||||||
// bos.flush();
|
bos.flush(); |
||||||
// bis.close();
|
bis.close(); |
||||||
// bos.close();
|
bos.close(); |
||||||
// is.close();
|
is.close(); |
||||||
// } catch (Exception e) {
|
} catch (Exception e) { |
||||||
// e.printStackTrace();
|
e.printStackTrace(); |
||||||
// }
|
} |
||||||
// }
|
} |
||||||
//}
|
} |
||||||
|
@ -1,22 +1,14 @@ |
|||||||
package com.mh.user.config; |
package com.mh.user.config; |
||||||
|
|
||||||
import org.springframework.context.annotation.Bean; |
|
||||||
import org.springframework.context.annotation.Configuration; |
import org.springframework.context.annotation.Configuration; |
||||||
import org.springframework.web.client.RestTemplate; |
|
||||||
|
|
||||||
/** |
/** |
||||||
* @author LJF |
* @author ljf |
||||||
* @title : |
* @title : |
||||||
* @description 请求数据 |
* @description : redis配置 |
||||||
* @updateTime 2020-08-20 |
* @updateTime 2020-08-20 |
||||||
* @throws : |
* @throws : |
||||||
*/ |
*/ |
||||||
@Configuration |
@Configuration |
||||||
public class RestTemplateConfig { |
public class RestTemplateConfig { |
||||||
|
|
||||||
@Bean |
|
||||||
public RestTemplate restTemplate() { |
|
||||||
return new RestTemplate(); |
|
||||||
} |
|
||||||
|
|
||||||
} |
} |
||||||
|
@ -1,36 +0,0 @@ |
|||||||
package com.mh.user.controller; |
|
||||||
|
|
||||||
import com.mh.common.http.HttpResult; |
|
||||||
import com.mh.user.dto.EnergyPreDTO; |
|
||||||
import com.mh.user.service.HistoryDataPreService; |
|
||||||
import org.springframework.web.bind.annotation.PostMapping; |
|
||||||
import org.springframework.web.bind.annotation.RequestMapping; |
|
||||||
import org.springframework.web.bind.annotation.RestController; |
|
||||||
|
|
||||||
import javax.annotation.Resource; |
|
||||||
|
|
||||||
/** |
|
||||||
* @author LJF |
|
||||||
* @version 1.0 |
|
||||||
* @project CHWS |
|
||||||
* @description 用能预测controller |
|
||||||
* @date 2024-05-09 17:24:48 |
|
||||||
*/ |
|
||||||
@RestController |
|
||||||
@RequestMapping("/energyPre") |
|
||||||
public class EnergyPreController { |
|
||||||
|
|
||||||
@Resource |
|
||||||
private HistoryDataPreService historyDataPreService; |
|
||||||
|
|
||||||
@PostMapping("/topData") |
|
||||||
public HttpResult getTopData(String buildingId, String type) { |
|
||||||
return HttpResult.ok(historyDataPreService.getTopData(buildingId, type)); |
|
||||||
} |
|
||||||
|
|
||||||
@PostMapping("/echartData") |
|
||||||
public HttpResult getEnergyPre(String buildingId, String beginDate, String endDate, String type) { |
|
||||||
return HttpResult.ok(historyDataPreService.getEnergyPre(buildingId, beginDate, endDate, type)); |
|
||||||
} |
|
||||||
|
|
||||||
} |
|
@ -1,63 +0,0 @@ |
|||||||
package com.mh.user.controller; |
|
||||||
|
|
||||||
import com.mh.common.http.HttpResult; |
|
||||||
import com.mh.common.page.PageRequest; |
|
||||||
import com.mh.common.page.PageResult; |
|
||||||
import com.mh.user.entity.KnowledgeDataEntity; |
|
||||||
import com.mh.user.service.KnowledgeDataService; |
|
||||||
import io.jsonwebtoken.lang.Assert; |
|
||||||
import org.springframework.validation.annotation.Validated; |
|
||||||
import org.springframework.web.bind.annotation.*; |
|
||||||
|
|
||||||
import javax.annotation.Resource; |
|
||||||
|
|
||||||
/** |
|
||||||
* @author LJF |
|
||||||
* @version 1.0 |
|
||||||
* @project CHWS |
|
||||||
* @description 知识库管理 |
|
||||||
* @date 2024-06-26 14:39:24 |
|
||||||
*/ |
|
||||||
@RestController |
|
||||||
@RequestMapping("/knowledge") |
|
||||||
public class KnowledgeDataController { |
|
||||||
|
|
||||||
@Resource |
|
||||||
private KnowledgeDataService knowledgeDataService; |
|
||||||
|
|
||||||
@GetMapping("/query") |
|
||||||
public HttpResult queryKnowledgeData(@RequestParam("pageNum") int pageNum, @RequestParam("pageSize") int pageSize) { |
|
||||||
PageRequest pageRequest = new PageRequest(); |
|
||||||
pageRequest.setPageNum(pageNum); |
|
||||||
pageRequest.setPageSize(pageSize); |
|
||||||
return HttpResult.ok(knowledgeDataService.queryKnowledgeData(pageRequest)); |
|
||||||
} |
|
||||||
|
|
||||||
@GetMapping("/{id}") |
|
||||||
public HttpResult detail(@PathVariable(name = "id") Long id) { |
|
||||||
KnowledgeDataEntity knowledgeData = knowledgeDataService.getById(id); |
|
||||||
Assert.notNull(knowledgeData, "该文章已被删除"); |
|
||||||
return HttpResult.ok(knowledgeData); |
|
||||||
} |
|
||||||
|
|
||||||
@PostMapping("/update") |
|
||||||
public HttpResult updateData(@Validated @RequestBody KnowledgeDataEntity knowledgeData) { |
|
||||||
try { |
|
||||||
knowledgeDataService.updateData(knowledgeData); |
|
||||||
} catch (Exception e) { |
|
||||||
throw new RuntimeException(e); |
|
||||||
} |
|
||||||
return HttpResult.ok(); |
|
||||||
} |
|
||||||
|
|
||||||
@PostMapping("/insert") |
|
||||||
public HttpResult insertKnowledgeData(@Validated @RequestBody KnowledgeDataEntity knowledgeData) { |
|
||||||
try { |
|
||||||
knowledgeDataService.insertKnowledgeData(knowledgeData); |
|
||||||
} catch (Exception e) { |
|
||||||
throw new RuntimeException(e); |
|
||||||
} |
|
||||||
return HttpResult.ok(); |
|
||||||
} |
|
||||||
|
|
||||||
} |
|
@ -1,27 +0,0 @@ |
|||||||
package com.mh.user.dto; |
|
||||||
|
|
||||||
import lombok.Getter; |
|
||||||
import lombok.Setter; |
|
||||||
|
|
||||||
/** |
|
||||||
* @author LJF |
|
||||||
* @version 1.0 |
|
||||||
* @project CHWS |
|
||||||
* @description 用能预测前端类 |
|
||||||
* @date 2024-05-09 17:31:27 |
|
||||||
*/ |
|
||||||
@Setter |
|
||||||
@Getter |
|
||||||
public class EnergyPreDTO { |
|
||||||
|
|
||||||
/** |
|
||||||
* 顶部数据 |
|
||||||
*/ |
|
||||||
private EnergyPreTopDataDTO topData; |
|
||||||
|
|
||||||
/** |
|
||||||
* 折线图数据 |
|
||||||
*/ |
|
||||||
private EnergyPreEchartDataDTO echartData; |
|
||||||
|
|
||||||
} |
|
@ -1,37 +0,0 @@ |
|||||||
package com.mh.user.dto; |
|
||||||
|
|
||||||
import lombok.Getter; |
|
||||||
import lombok.Setter; |
|
||||||
|
|
||||||
/** |
|
||||||
* @author LJF |
|
||||||
* @version 1.0 |
|
||||||
* @project CHWS |
|
||||||
* @description 用能预测前端类 |
|
||||||
* @date 2024-05-09 17:31:27 |
|
||||||
*/ |
|
||||||
@Setter |
|
||||||
@Getter |
|
||||||
public class EnergyPreEchartDataDTO { |
|
||||||
|
|
||||||
/** |
|
||||||
* 时间 |
|
||||||
*/ |
|
||||||
private String curDate; |
|
||||||
|
|
||||||
/** |
|
||||||
* 实际值 |
|
||||||
*/ |
|
||||||
private String curData; |
|
||||||
|
|
||||||
/** |
|
||||||
* 预测值 |
|
||||||
*/ |
|
||||||
private String preData; |
|
||||||
|
|
||||||
/** |
|
||||||
* 误差值 |
|
||||||
*/ |
|
||||||
private String errorData; |
|
||||||
|
|
||||||
} |
|
@ -1,37 +0,0 @@ |
|||||||
package com.mh.user.dto; |
|
||||||
|
|
||||||
import lombok.Getter; |
|
||||||
import lombok.Setter; |
|
||||||
|
|
||||||
/** |
|
||||||
* @author LJF |
|
||||||
* @version 1.0 |
|
||||||
* @project CHWS |
|
||||||
* @description 用能预测前端类 |
|
||||||
* @date 2024-05-09 17:31:27 |
|
||||||
*/ |
|
||||||
@Setter |
|
||||||
@Getter |
|
||||||
public class EnergyPreTopDataDTO { |
|
||||||
|
|
||||||
/** |
|
||||||
* 昨日实际值 |
|
||||||
*/ |
|
||||||
private String yesData; |
|
||||||
|
|
||||||
/** |
|
||||||
* 昨日预测值 |
|
||||||
*/ |
|
||||||
private String preYesData; |
|
||||||
|
|
||||||
/** |
|
||||||
* 今日预测值 |
|
||||||
*/ |
|
||||||
private String curYesData; |
|
||||||
|
|
||||||
/** |
|
||||||
* 误差值 |
|
||||||
*/ |
|
||||||
private String errorData; |
|
||||||
|
|
||||||
} |
|
@ -1,168 +0,0 @@ |
|||||||
package com.mh.user.entity; |
|
||||||
|
|
||||||
import com.fasterxml.jackson.annotation.JsonFormat; |
|
||||||
|
|
||||||
import java.math.BigDecimal; |
|
||||||
import java.util.Date; |
|
||||||
|
|
||||||
/** |
|
||||||
* @author LJF |
|
||||||
* @version 1.0 |
|
||||||
* @project CHWS |
|
||||||
* @description 历史预测数据表 |
|
||||||
* @date 2024-05-09 09:55:09 |
|
||||||
*/ |
|
||||||
public class HistoryDataPre { |
|
||||||
|
|
||||||
private Long id; |
|
||||||
|
|
||||||
@JsonFormat(pattern = "yyyy-MM-dd", timezone = "GMT+8") |
|
||||||
private Date curDate; |
|
||||||
|
|
||||||
private String buildingId; |
|
||||||
|
|
||||||
private BigDecimal envMinTemp; |
|
||||||
|
|
||||||
private BigDecimal envMaxTemp; |
|
||||||
|
|
||||||
private BigDecimal waterValue; |
|
||||||
|
|
||||||
private BigDecimal electValue; |
|
||||||
|
|
||||||
private BigDecimal waterLevel; |
|
||||||
|
|
||||||
/** |
|
||||||
* 每栋楼人数 |
|
||||||
*/ |
|
||||||
private BigDecimal peopleNum; |
|
||||||
|
|
||||||
private BigDecimal waterValuePre; |
|
||||||
|
|
||||||
private BigDecimal electValuePre; |
|
||||||
|
|
||||||
private BigDecimal waterLevelPre; |
|
||||||
|
|
||||||
private String remark; |
|
||||||
|
|
||||||
public BigDecimal getPeopleNum() { |
|
||||||
return peopleNum; |
|
||||||
} |
|
||||||
|
|
||||||
public void setPeopleNum(BigDecimal peopleNum) { |
|
||||||
this.peopleNum = peopleNum; |
|
||||||
} |
|
||||||
|
|
||||||
public Long getId() { |
|
||||||
return id; |
|
||||||
} |
|
||||||
|
|
||||||
public void setId(Long id) { |
|
||||||
this.id = id; |
|
||||||
} |
|
||||||
|
|
||||||
public Date getCurDate() { |
|
||||||
return curDate; |
|
||||||
} |
|
||||||
|
|
||||||
public void setCurDate(Date curDate) { |
|
||||||
this.curDate = curDate; |
|
||||||
} |
|
||||||
|
|
||||||
public String getBuildingId() { |
|
||||||
return buildingId; |
|
||||||
} |
|
||||||
|
|
||||||
public void setBuildingId(String buildingId) { |
|
||||||
this.buildingId = buildingId; |
|
||||||
} |
|
||||||
|
|
||||||
public BigDecimal getEnvMinTemp() { |
|
||||||
return envMinTemp; |
|
||||||
} |
|
||||||
|
|
||||||
public void setEnvMinTemp(BigDecimal envMinTemp) { |
|
||||||
this.envMinTemp = envMinTemp; |
|
||||||
} |
|
||||||
|
|
||||||
public BigDecimal getEnvMaxTemp() { |
|
||||||
return envMaxTemp; |
|
||||||
} |
|
||||||
|
|
||||||
public void setEnvMaxTemp(BigDecimal envMaxTemp) { |
|
||||||
this.envMaxTemp = envMaxTemp; |
|
||||||
} |
|
||||||
|
|
||||||
public BigDecimal getWaterValue() { |
|
||||||
return waterValue; |
|
||||||
} |
|
||||||
|
|
||||||
public void setWaterValue(BigDecimal waterValue) { |
|
||||||
this.waterValue = waterValue; |
|
||||||
} |
|
||||||
|
|
||||||
public BigDecimal getElectValue() { |
|
||||||
return electValue; |
|
||||||
} |
|
||||||
|
|
||||||
public void setElectValue(BigDecimal electValue) { |
|
||||||
this.electValue = electValue; |
|
||||||
} |
|
||||||
|
|
||||||
public BigDecimal getWaterLevel() { |
|
||||||
return waterLevel; |
|
||||||
} |
|
||||||
|
|
||||||
public void setWaterLevel(BigDecimal waterLevel) { |
|
||||||
this.waterLevel = waterLevel; |
|
||||||
} |
|
||||||
|
|
||||||
public BigDecimal getWaterValuePre() { |
|
||||||
return waterValuePre; |
|
||||||
} |
|
||||||
|
|
||||||
public void setWaterValuePre(BigDecimal waterValuePre) { |
|
||||||
this.waterValuePre = waterValuePre; |
|
||||||
} |
|
||||||
|
|
||||||
public BigDecimal getElectValuePre() { |
|
||||||
return electValuePre; |
|
||||||
} |
|
||||||
|
|
||||||
public void setElectValuePre(BigDecimal electValuePre) { |
|
||||||
this.electValuePre = electValuePre; |
|
||||||
} |
|
||||||
|
|
||||||
public BigDecimal getWaterLevelPre() { |
|
||||||
return waterLevelPre; |
|
||||||
} |
|
||||||
|
|
||||||
public void setWaterLevelPre(BigDecimal waterLevelPre) { |
|
||||||
this.waterLevelPre = waterLevelPre; |
|
||||||
} |
|
||||||
|
|
||||||
public String getRemark() { |
|
||||||
return remark; |
|
||||||
} |
|
||||||
|
|
||||||
public void setRemark(String remark) { |
|
||||||
this.remark = remark; |
|
||||||
} |
|
||||||
|
|
||||||
@Override |
|
||||||
public String toString() { |
|
||||||
return "HistoryDataPre{" + |
|
||||||
"id=" + id + |
|
||||||
", curDate=" + curDate + |
|
||||||
", buildingId='" + buildingId + '\'' + |
|
||||||
", envMinTemp=" + envMinTemp + |
|
||||||
", envMaxTemp=" + envMaxTemp + |
|
||||||
", waterValue=" + waterValue + |
|
||||||
", electValue=" + electValue + |
|
||||||
", waterLevel=" + waterLevel + |
|
||||||
", waterValuePre=" + waterValuePre + |
|
||||||
", electValuePre=" + electValuePre + |
|
||||||
", waterLevelPre=" + waterLevelPre + |
|
||||||
", remark='" + remark + '\'' + |
|
||||||
'}'; |
|
||||||
} |
|
||||||
} |
|
@ -1,38 +0,0 @@ |
|||||||
package com.mh.user.entity; |
|
||||||
|
|
||||||
import com.fasterxml.jackson.annotation.JsonFormat; |
|
||||||
import lombok.Data; |
|
||||||
|
|
||||||
import javax.validation.constraints.NotBlank; |
|
||||||
import java.io.Serializable; |
|
||||||
import java.util.Date; |
|
||||||
|
|
||||||
/** |
|
||||||
* @author LJF |
|
||||||
* @version 1.0 |
|
||||||
* @project CHWS |
|
||||||
* @description 知识库管理 |
|
||||||
* @date 2024-06-26 14:18:28 |
|
||||||
*/ |
|
||||||
@Data |
|
||||||
public class KnowledgeDataEntity implements Serializable { |
|
||||||
|
|
||||||
private Long id; |
|
||||||
|
|
||||||
@NotBlank(message = "标题不能为空") |
|
||||||
private String title; |
|
||||||
|
|
||||||
@NotBlank(message = "摘要不能为空") |
|
||||||
private String description; |
|
||||||
|
|
||||||
@NotBlank(message = "内容不能为空") |
|
||||||
private String content; |
|
||||||
|
|
||||||
@JsonFormat(pattern = "yyyy-MM-dd HH:mm:ss", timezone = "GMT+8") |
|
||||||
private Date createTime; |
|
||||||
|
|
||||||
private Integer status; |
|
||||||
|
|
||||||
private String remark; |
|
||||||
|
|
||||||
} |
|
@ -1,64 +0,0 @@ |
|||||||
package com.mh.user.job; |
|
||||||
|
|
||||||
import com.alibaba.fastjson2.JSON; |
|
||||||
import com.alibaba.fastjson2.JSONObject; |
|
||||||
import com.github.benmanes.caffeine.cache.Cache; |
|
||||||
import com.mh.common.utils.StringUtils; |
|
||||||
import com.mh.user.entity.SysParamEntity; |
|
||||||
import com.mh.user.service.SysParamService; |
|
||||||
import lombok.extern.slf4j.Slf4j; |
|
||||||
import org.springframework.beans.factory.annotation.Qualifier; |
|
||||||
import org.springframework.beans.factory.annotation.Value; |
|
||||||
import org.springframework.scheduling.annotation.Scheduled; |
|
||||||
import org.springframework.stereotype.Component; |
|
||||||
import org.springframework.web.client.RestTemplate; |
|
||||||
|
|
||||||
import javax.annotation.Resource; |
|
||||||
|
|
||||||
/** |
|
||||||
* @author LJF |
|
||||||
* @version 1.0 |
|
||||||
* @project NewZhujiang_Server |
|
||||||
* @description 定期获取时间 |
|
||||||
* @date 2023-12-05 14:12:56 |
|
||||||
*/ |
|
||||||
@Component |
|
||||||
@Slf4j |
|
||||||
public class GetWeatherInfoJob { |
|
||||||
|
|
||||||
@Resource |
|
||||||
private SysParamService sysParamService; |
|
||||||
|
|
||||||
@Resource |
|
||||||
private RestTemplate restTemplate; |
|
||||||
|
|
||||||
@Resource |
|
||||||
@Qualifier("caffeineCache") |
|
||||||
private Cache caffeineCache; |
|
||||||
|
|
||||||
@Value("${amap.key}") |
|
||||||
String amapKey; |
|
||||||
|
|
||||||
/** |
|
||||||
* 定时获取每天天气 |
|
||||||
*/ |
|
||||||
@Scheduled(cron = "0 0 0 0/1 * ? ") |
|
||||||
public void getWeatherInfo() { |
|
||||||
// 从系统参数中获取对应的项目区域
|
|
||||||
SysParamEntity sysParam = sysParamService.selectSysParam(); |
|
||||||
if (null != sysParam) { |
|
||||||
String url = "https://restapi.amap.com/v3/weather/weatherInfo?extensions=all&key="+amapKey+"&city="+sysParam.getProArea(); |
|
||||||
String returnResult = restTemplate.getForObject(url, String.class); |
|
||||||
if (!StringUtils.isBlank(returnResult)) { |
|
||||||
JSONObject jsonObject = JSON.parseObject(returnResult); |
|
||||||
if ("1".equals(jsonObject.get("status"))) { |
|
||||||
Object wetTemp = caffeineCache.getIfPresent(sysParam.getProArea()); |
|
||||||
if (wetTemp != null) { |
|
||||||
caffeineCache.invalidate(sysParam.getProArea()); |
|
||||||
} |
|
||||||
caffeineCache.put(sysParam.getProArea(), jsonObject.toString()); |
|
||||||
} |
|
||||||
} |
|
||||||
} |
|
||||||
} |
|
||||||
} |
|
@ -1,227 +0,0 @@ |
|||||||
package com.mh.user.mapper; |
|
||||||
|
|
||||||
import com.mh.user.dto.EnergyPreEchartDataDTO; |
|
||||||
import com.mh.user.dto.EnergyPreTopDataDTO; |
|
||||||
import com.mh.user.entity.HistoryDataPre; |
|
||||||
import org.apache.ibatis.annotations.*; |
|
||||||
import org.springframework.security.core.parameters.P; |
|
||||||
import tk.mybatis.mapper.common.BaseMapper; |
|
||||||
|
|
||||||
import java.util.List; |
|
||||||
|
|
||||||
/** |
|
||||||
* @author LJF |
|
||||||
* @version 1.0 |
|
||||||
* @project CHWS |
|
||||||
* @description 预测历史数据mapper |
|
||||||
* @date 2024-05-09 10:01:46 |
|
||||||
*/ |
|
||||||
@Mapper |
|
||||||
public interface HistoryDataPreMapper extends BaseMapper<HistoryDataPre> { |
|
||||||
|
|
||||||
@Results(id ="rs_train_data",value ={ |
|
||||||
@Result(column = "env_min_temp", property = "envMinTemp"), |
|
||||||
@Result(column = "env_max_temp", property = "envMaxTemp"), |
|
||||||
@Result(column = "water_value", property = "waterValue"), |
|
||||||
@Result(column = "elect_value", property = "electValue"), |
|
||||||
@Result(column = "water_level", property = "waterLevel"), |
|
||||||
@Result(column = "people_num", property = "peopleNum") |
|
||||||
}) |
|
||||||
@Select("select env_min_temp, env_max_temp, water_value, elect_value, water_level, people_num from history_data_pre where building_id = #{buildingId} order by cur_date ") |
|
||||||
List<HistoryDataPre> getTrainData(@Param("buildingId") String buildingId); |
|
||||||
|
|
||||||
@Results(id ="rs_recent_data",value ={ |
|
||||||
@Result(column = "id",property = "id" ), |
|
||||||
@Result(column = "building_id", property = "buildingId"), |
|
||||||
@Result(column = "cur_date", property = "curDate"), |
|
||||||
@Result(column = "env_min_temp", property = "envMinTemp"), |
|
||||||
@Result(column = "env_max_temp", property = "envMaxTemp"), |
|
||||||
@Result(column = "water_value", property = "waterValue"), |
|
||||||
@Result(column = "elect_value", property = "electValue"), |
|
||||||
@Result(column = "water_level", property = "waterLevel"), |
|
||||||
@Result(column = "water_value_pre", property = "waterValuePre"), |
|
||||||
@Result(column = "elect_value_pre", property = "electValuePre"), |
|
||||||
@Result(column = "water_level_pre", property = "waterLevelPre"), |
|
||||||
@Result(column = "remark", property = "remark") |
|
||||||
}) |
|
||||||
@Select("select * from history_date_pre where building_id = #{buildingId} and cur_date = #{curDate} order by cur_date ") |
|
||||||
List<HistoryDataPre> getRecentData(@Param("buildingId") String buildingId, |
|
||||||
@Param("curDate") String curDate); |
|
||||||
|
|
||||||
@Update("update history_data_pre set water_value_pre = #{waterValuePre},elect_value_pre = #{electValuePre},water_level_pre = #{waterLevelPre}," + |
|
||||||
" water_value = #{waterValue},elect_value = #{electValue},water_level = #{waterLevel} " + |
|
||||||
" where id = #{id} and building_id = #{buildingId}") |
|
||||||
void updateById(HistoryDataPre preHistoryData); |
|
||||||
|
|
||||||
@Select("select count(*) from history_data_pre where building_id = #{buildingId} and cur_date = #{curDate} and env_min_temp is not null ") |
|
||||||
int selectIsPre(@Param("buildingId") String buildingId, |
|
||||||
@Param("curDate") String curDate); |
|
||||||
|
|
||||||
@Results(id ="rs_cur_data",value ={ |
|
||||||
@Result(column = "id",property = "id" ), |
|
||||||
@Result(column = "building_id", property = "buildingId"), |
|
||||||
@Result(column = "cur_date", property = "curDate"), |
|
||||||
@Result(column = "env_min_temp", property = "envMinTemp"), |
|
||||||
@Result(column = "env_max_temp", property = "envMaxTemp"), |
|
||||||
@Result(column = "water_value", property = "waterValue"), |
|
||||||
@Result(column = "elect_value", property = "electValue"), |
|
||||||
@Result(column = "water_level", property = "waterLevel") |
|
||||||
}) |
|
||||||
@Select("select top 1 " + |
|
||||||
" convert(date,eds.cur_date) as cur_date, " + |
|
||||||
" eds.building_id, " + |
|
||||||
" isnull(eds.water_value, " + |
|
||||||
" 0) as water_value, " + |
|
||||||
" isnull(eds.elect_value, " + |
|
||||||
" 0) as elect_value, " + |
|
||||||
" isnull(convert(numeric(24, " + |
|
||||||
" 2), " + |
|
||||||
" t1.water_level), " + |
|
||||||
" 0) as water_level " + |
|
||||||
"from " + |
|
||||||
" energy_day_sum eds " + |
|
||||||
"left join ( " + |
|
||||||
" select " + |
|
||||||
" convert(date, " + |
|
||||||
" cur_date) as cur_date, " + |
|
||||||
" building_id, " + |
|
||||||
" avg(isnull(convert(numeric(24, 2), water_level), 0)) as water_level " + |
|
||||||
" from " + |
|
||||||
" history_data " + |
|
||||||
" where " + |
|
||||||
" building_id = #{buildingId} " + |
|
||||||
" and cur_date = #{curDate} " + |
|
||||||
" group by " + |
|
||||||
" convert(date, " + |
|
||||||
" cur_date), " + |
|
||||||
" building_id " + |
|
||||||
" ) t1 on " + |
|
||||||
" eds.cur_date = t1.cur_date " + |
|
||||||
" and eds.building_id = t1.building_id " + |
|
||||||
"where " + |
|
||||||
" eds.building_id != '所有' " + |
|
||||||
" and eds.building_id = #{buildingId} " + |
|
||||||
" and eds.cur_date = #{curDate} " + |
|
||||||
"order by " + |
|
||||||
" eds.building_id, " + |
|
||||||
" eds.cur_date ") |
|
||||||
HistoryDataPre selectCurData(@Param("buildingId") String buildingId, |
|
||||||
@Param("curDate") String curDate); |
|
||||||
|
|
||||||
@Insert("insert into history_data_pre(cur_date, building_id, env_min_temp, env_max_temp, water_value, elect_value, water_level) values(" + |
|
||||||
"convert(date,#{curDate}), #{buildingId}, #{envMinTemp}, #{envMaxTemp}, #{waterValue}, #{electValue}, #{waterLevel}" + |
|
||||||
")") |
|
||||||
void insertData(HistoryDataPre curHistoryData); |
|
||||||
|
|
||||||
@Results(id ="rs_one_data",value ={ |
|
||||||
@Result(column = "id",property = "id" ), |
|
||||||
@Result(column = "building_id", property = "buildingId"), |
|
||||||
@Result(column = "cur_date", property = "curDate"), |
|
||||||
@Result(column = "env_min_temp", property = "envMinTemp"), |
|
||||||
@Result(column = "env_max_temp", property = "envMaxTemp"), |
|
||||||
@Result(column = "people_num", property = "peopleNum") |
|
||||||
}) |
|
||||||
@Select("select top 1 id, building_id, cur_date, env_min_temp, env_max_temp, people_num from history_data_pre where building_id = #{buildingId} and cur_date = #{curDate} ") |
|
||||||
HistoryDataPre selectOneData(@Param("buildingId") String buildingId, |
|
||||||
@Param("curDate") String curDate); |
|
||||||
|
|
||||||
@Results({ |
|
||||||
@Result(column = "cur_yes_data",property = "curYesData" ), |
|
||||||
@Result(column = "yes_data", property = "yesData"), |
|
||||||
@Result(column = "pre_yes_data", property = "preYesData"), |
|
||||||
@Result(column = "error_data", property = "errorData") |
|
||||||
}) |
|
||||||
@Select("<script>" + |
|
||||||
"SELECT " + |
|
||||||
" <choose>" + |
|
||||||
" <when test='type == \"2\"'>" + |
|
||||||
" isnull(t.water_value_pre, 0) as cur_yes_data, " + |
|
||||||
" isnull(t1.water_value, 0) as yes_data, " + |
|
||||||
" isnull(t1.water_value_pre, 0) as pre_yes_data, " + |
|
||||||
" CASE WHEN t1.water_value_pre > 0 THEN CONVERT(decimal(18, 2), ABS(isnull(t1.water_value_pre, 0) - isnull(t1.water_value, 0)) / t1.water_value_pre * 100) ELSE '0' END as error_data" + |
|
||||||
" </when>" + |
|
||||||
" <when test='type == \"1\"'>" + |
|
||||||
" isnull(t.elect_value_pre, 0) as cur_yes_data, " + |
|
||||||
" isnull(t1.elect_value, 0) as yes_data, " + |
|
||||||
" isnull(t1.elect_value_pre, 0) as pre_yes_data, " + |
|
||||||
" CASE WHEN t1.elect_value_pre > 0 THEN CONVERT(decimal(18, 2), ABS(isnull(t1.elect_value_pre, 0) - isnull(t1.elect_value, 0)) / t1.elect_value_pre * 100) ELSE '0' END as error_data" + |
|
||||||
" </when>" + |
|
||||||
" <when test='type == \"3\"'>" + |
|
||||||
" isnull(t.water_level_pre, 0) as cur_yes_data, " + |
|
||||||
" isnull(t1.water_level, 0) as yes_data, " + |
|
||||||
" isnull(t1.water_level_pre, 0) as pre_yes_data, " + |
|
||||||
" CASE WHEN t1.water_level_pre > 0 THEN CONVERT(decimal(18, 2), ABS(isnull(t1.water_level_pre, 0) - isnull(t1.water_level, 0)) / t1.water_level_pre * 100) ELSE '0' END as error_data" + |
|
||||||
" </when>" + |
|
||||||
" <otherwise>null</otherwise>" + |
|
||||||
" </choose>" + |
|
||||||
"FROM (" + |
|
||||||
" SELECT " + |
|
||||||
" building_id, " + |
|
||||||
" water_value, " + |
|
||||||
" elect_value, " + |
|
||||||
" water_level, " + |
|
||||||
" water_value_pre, " + |
|
||||||
" elect_value_pre, " + |
|
||||||
" water_level_pre " + |
|
||||||
" FROM history_data_pre " + |
|
||||||
" WHERE cur_date = CONVERT(varchar(10), GETDATE(), 120) AND building_id = #{buildingId}" + |
|
||||||
") t " + |
|
||||||
"JOIN (" + |
|
||||||
" SELECT " + |
|
||||||
" building_id, " + |
|
||||||
" water_value, " + |
|
||||||
" elect_value, " + |
|
||||||
" water_level, " + |
|
||||||
" water_value_pre, " + |
|
||||||
" elect_value_pre, " + |
|
||||||
" water_level_pre " + |
|
||||||
" FROM history_data_pre " + |
|
||||||
" WHERE cur_date = CONVERT(varchar(10), DATEADD(day, -1, GETDATE()), 120) AND building_id = #{buildingId}" + |
|
||||||
") t1 ON t.building_id = t1.building_id " + |
|
||||||
"</script>") |
|
||||||
List<EnergyPreTopDataDTO> getTopData(@Param("buildingId") String buildingId, @Param("type") String type); |
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
@Results({ |
|
||||||
@Result(column = "cur_date",property = "curDate" ), |
|
||||||
@Result(column = "cur_data", property = "curData"), |
|
||||||
@Result(column = "pre_data", property = "preData"), |
|
||||||
@Result(column = "error_data", property = "errorData") |
|
||||||
}) |
|
||||||
@Select("<script>" + |
|
||||||
"SELECT " + |
|
||||||
" hdp.cur_date, " + |
|
||||||
" <choose>" + |
|
||||||
" <when test='type == \"2\"'>isnull(hdp.water_value, 0)</when>" + |
|
||||||
" <when test='type == \"1\"'>isnull(hdp.elect_value, 0)</when>" + |
|
||||||
" <when test='type == \"3\"'>isnull(hdp.water_level, 0)</when>" + |
|
||||||
" <otherwise>0</otherwise>" + |
|
||||||
" </choose> as cur_data, " + |
|
||||||
" <choose>" + |
|
||||||
" <when test='type == \"2\"'>isnull(hdp.water_value_pre, 0)</when>" + |
|
||||||
" <when test='type == \"1\"'>isnull(hdp.elect_value_pre, 0)</when>" + |
|
||||||
" <when test='type == \"3\"'>isnull(hdp.water_level_pre, 0)</when>" + |
|
||||||
" <otherwise>0</otherwise>" + |
|
||||||
" </choose> as pre_data, " + |
|
||||||
" CASE " + |
|
||||||
" <when test='type == \"2\"'>" + |
|
||||||
" WHEN hdp.water_value_pre > 0 THEN CONVERT(decimal(18, 2), ABS(isnull(hdp.water_value_pre, 0) - isnull(hdp.water_value, 0)) / hdp.water_value_pre * 100) else 0 " + |
|
||||||
" </when>" + |
|
||||||
" <when test='type == \"1\"'>" + |
|
||||||
" WHEN hdp.elect_value_pre > 0 THEN CONVERT(decimal(18, 2), ABS(isnull(hdp.elect_value_pre, 0) - isnull(hdp.elect_value, 0)) / hdp.elect_value_pre * 100) else 0 " + |
|
||||||
" </when>" + |
|
||||||
" <when test='type == \"3\"'>" + |
|
||||||
" WHEN hdp.water_level_pre > 0 THEN CONVERT(decimal(18, 2), ABS(isnull(hdp.water_level_pre, 0) - isnull(hdp.water_level, 0)) / hdp.water_level_pre * 100) else 0 " + |
|
||||||
" </when>" + |
|
||||||
" END as error_data " + |
|
||||||
"FROM history_data_pre hdp " + |
|
||||||
"WHERE hdp.building_id = #{buildingId} " + |
|
||||||
" AND cur_date BETWEEN #{beginDate} AND #{endDate} " + |
|
||||||
"ORDER BY cur_date" + |
|
||||||
"</script>") |
|
||||||
List<EnergyPreEchartDataDTO> getEnergyPre(@Param("buildingId") String buildingId, |
|
||||||
@Param("beginDate") String beginDate, |
|
||||||
@Param("endDate") String endDate, |
|
||||||
@Param("type") String type); |
|
||||||
} |
|
@ -1,57 +0,0 @@ |
|||||||
package com.mh.user.mapper; |
|
||||||
|
|
||||||
import com.mh.user.entity.KnowledgeDataEntity; |
|
||||||
import org.apache.ibatis.annotations.*; |
|
||||||
|
|
||||||
import java.util.List; |
|
||||||
|
|
||||||
/** |
|
||||||
* @author LJF |
|
||||||
* @version 1.0 |
|
||||||
* @project CHWS |
|
||||||
* @description 知识库管理 |
|
||||||
* @date 2024-06-26 14:21:47 |
|
||||||
*/ |
|
||||||
@Mapper |
|
||||||
public interface KnowledgeDataMapper { |
|
||||||
|
|
||||||
@Insert("insert into knowledge_data(title,description,content,create_time,status,remark) " + |
|
||||||
" values(#{title},#{description},#{content},getDate(),#{status},#{remark})") |
|
||||||
void insertKnowledgeData(KnowledgeDataEntity knowledgeData); |
|
||||||
|
|
||||||
@Results({ |
|
||||||
@Result(column = "id",property = "id" ), |
|
||||||
@Result(column = "title", property = "title"), |
|
||||||
@Result(column = "description", property = "description"), |
|
||||||
@Result(column = "content", property = "content"), |
|
||||||
@Result(column = "create_time", property = "createTime"), |
|
||||||
@Result(column = "status", property = "status"), |
|
||||||
@Result(column = "remark", property = "remark") |
|
||||||
}) |
|
||||||
@Select("select id,title,description,content,create_time,status,remark from knowledge_data order by create_time desc") |
|
||||||
List<KnowledgeDataEntity> findPage(); |
|
||||||
|
|
||||||
@Update("<script>" + |
|
||||||
" update knowledge_data set " + |
|
||||||
" <if test='title!=null'> title = #{title} </if>" + |
|
||||||
" <if test='description!=null'> , description = #{description} </if>" + |
|
||||||
" <if test='content!=null'> , content = #{content} </if>" + |
|
||||||
" <if test='createTime!=null'> , create_time = #{createTime} </if>" + |
|
||||||
" <if test='status!=null'> , status = #{status} </if>" + |
|
||||||
" <if test='remark!=null'> , remark = #{remark} </if>" + |
|
||||||
" where id = #{id} " + |
|
||||||
"</script>") |
|
||||||
void updateData(KnowledgeDataEntity knowledgeData); |
|
||||||
|
|
||||||
@Results({ |
|
||||||
@Result(column = "id",property = "id" ), |
|
||||||
@Result(column = "title", property = "title"), |
|
||||||
@Result(column = "description", property = "description"), |
|
||||||
@Result(column = "content", property = "content"), |
|
||||||
@Result(column = "create_time", property = "createTime"), |
|
||||||
@Result(column = "status", property = "status"), |
|
||||||
@Result(column = "remark", property = "remark") |
|
||||||
}) |
|
||||||
@Select("select id,title,description,content,create_time,status,remark from knowledge_data where id = #{id} order by create_time desc") |
|
||||||
KnowledgeDataEntity getById(@Param("id") Long id); |
|
||||||
} |
|
@ -1,54 +0,0 @@ |
|||||||
package com.mh.user.service; |
|
||||||
|
|
||||||
import com.mh.user.dto.EnergyPreDTO; |
|
||||||
import com.mh.user.dto.EnergyPreEchartDataDTO; |
|
||||||
import com.mh.user.dto.EnergyPreTopDataDTO; |
|
||||||
import com.mh.user.entity.HistoryDataPre; |
|
||||||
|
|
||||||
import java.util.HashMap; |
|
||||||
import java.util.List; |
|
||||||
|
|
||||||
/** |
|
||||||
* @author LJF |
|
||||||
* @version 1.0 |
|
||||||
* @project CHWS |
|
||||||
* @description 预测历史数据服务类 |
|
||||||
* @date 2024-05-09 10:02:54 |
|
||||||
*/ |
|
||||||
public interface HistoryDataPreService { |
|
||||||
|
|
||||||
/** |
|
||||||
* 获取训练数据 |
|
||||||
* @param buildingId |
|
||||||
* @throws Exception |
|
||||||
*/ |
|
||||||
void startTrainData(String buildingId) throws Exception; |
|
||||||
|
|
||||||
/** |
|
||||||
* 开始预测数据 |
|
||||||
* @param buildingId |
|
||||||
* @param curDate |
|
||||||
* @throws Exception |
|
||||||
*/ |
|
||||||
void startPredictData(String buildingId, String curDate) throws Exception; |
|
||||||
|
|
||||||
/** |
|
||||||
* 获取每栋楼的数据 |
|
||||||
* @param buildingId |
|
||||||
* @param curDate |
|
||||||
* @return |
|
||||||
*/ |
|
||||||
List<HistoryDataPre> getRecentData(String buildingId, String curDate); |
|
||||||
|
|
||||||
/** |
|
||||||
* 获取预测数据 |
|
||||||
* @param buildingId |
|
||||||
* @param beginDate |
|
||||||
* @param endDate |
|
||||||
* @param type |
|
||||||
* @return |
|
||||||
*/ |
|
||||||
List<HashMap<String, Object>> getEnergyPre(String buildingId, String beginDate, String endDate, String type); |
|
||||||
|
|
||||||
List<EnergyPreTopDataDTO> getTopData(String buildingId, String type); |
|
||||||
} |
|
@ -1,23 +0,0 @@ |
|||||||
package com.mh.user.service; |
|
||||||
|
|
||||||
import com.mh.common.page.PageRequest; |
|
||||||
import com.mh.common.page.PageResult; |
|
||||||
import com.mh.user.entity.KnowledgeDataEntity; |
|
||||||
|
|
||||||
/** |
|
||||||
* @author LJF |
|
||||||
* @version 1.0 |
|
||||||
* @project CHWS |
|
||||||
* @description 知识库服务 |
|
||||||
* @date 2024-06-26 14:32:06 |
|
||||||
*/ |
|
||||||
public interface KnowledgeDataService { |
|
||||||
|
|
||||||
void insertKnowledgeData(KnowledgeDataEntity knowledgeData); |
|
||||||
|
|
||||||
PageResult queryKnowledgeData(PageRequest pageRequest); |
|
||||||
|
|
||||||
void updateData(KnowledgeDataEntity knowledgeData); |
|
||||||
|
|
||||||
KnowledgeDataEntity getById(Long id); |
|
||||||
} |
|
@ -1,253 +0,0 @@ |
|||||||
package com.mh.user.service.impl; |
|
||||||
|
|
||||||
import com.alibaba.fastjson2.JSON; |
|
||||||
import com.alibaba.fastjson2.JSONArray; |
|
||||||
import com.alibaba.fastjson2.JSONObject; |
|
||||||
import com.alibaba.fastjson2.JSONWriter; |
|
||||||
import com.github.benmanes.caffeine.cache.Cache; |
|
||||||
import com.mh.algorithm.bpnn.BPModel; |
|
||||||
import com.mh.algorithm.bpnn.BPNeuralNetworkFactory; |
|
||||||
import com.mh.algorithm.bpnn.BPParameter; |
|
||||||
import com.mh.algorithm.matrix.Matrix; |
|
||||||
import com.mh.algorithm.utils.CsvInfo; |
|
||||||
import com.mh.algorithm.utils.SerializationUtil; |
|
||||||
import com.mh.common.utils.StringUtils; |
|
||||||
import com.mh.user.dto.EnergyPreDTO; |
|
||||||
import com.mh.user.dto.EnergyPreEchartDataDTO; |
|
||||||
import com.mh.user.dto.EnergyPreTopDataDTO; |
|
||||||
import com.mh.user.entity.HistoryDataPre; |
|
||||||
import com.mh.user.entity.SysParamEntity; |
|
||||||
import com.mh.user.job.GetWeatherInfoJob; |
|
||||||
import com.mh.user.mapper.HistoryDataPreMapper; |
|
||||||
import com.mh.user.service.HistoryDataPreService; |
|
||||||
import com.mh.user.service.SysParamService; |
|
||||||
import com.mh.user.utils.DateUtil; |
|
||||||
import org.springframework.beans.factory.annotation.Qualifier; |
|
||||||
import org.springframework.stereotype.Service; |
|
||||||
import org.springframework.transaction.annotation.Transactional; |
|
||||||
|
|
||||||
import javax.annotation.Resource; |
|
||||||
import java.math.BigDecimal; |
|
||||||
import java.math.RoundingMode; |
|
||||||
import java.time.LocalDate; |
|
||||||
import java.time.format.DateTimeFormatter; |
|
||||||
import java.util.ArrayList; |
|
||||||
import java.util.HashMap; |
|
||||||
import java.util.List; |
|
||||||
|
|
||||||
/** |
|
||||||
* @author LJF |
|
||||||
* @version 1.0 |
|
||||||
* @project CHWS |
|
||||||
* @description 预测历史数据服务实现类 |
|
||||||
* @date 2024-05-09 10:03:24 |
|
||||||
*/ |
|
||||||
@Service |
|
||||||
@Transactional(rollbackFor = Exception.class) |
|
||||||
public class HistoryDataPreServiceImpl implements HistoryDataPreService { |
|
||||||
|
|
||||||
@Resource |
|
||||||
private HistoryDataPreMapper historyDataPreMapper; |
|
||||||
|
|
||||||
@Resource |
|
||||||
@Qualifier("caffeineCache") |
|
||||||
private Cache caffeineCache; |
|
||||||
|
|
||||||
@Resource |
|
||||||
private SysParamService sysParamService; |
|
||||||
|
|
||||||
@Resource |
|
||||||
private GetWeatherInfoJob getWeatherInfoJob; |
|
||||||
|
|
||||||
|
|
||||||
public static String[] convert(HistoryDataPre dataPre) { |
|
||||||
// 假设HistoryDataPre有字段如field1, field2, field3等,根据需要进行转换
|
|
||||||
return new String[] { |
|
||||||
String.valueOf(dataPre.getEnvMinTemp()), |
|
||||||
String.valueOf(dataPre.getEnvMaxTemp()), |
|
||||||
String.valueOf(dataPre.getPeopleNum()), |
|
||||||
String.valueOf(dataPre.getWaterValue()), |
|
||||||
String.valueOf(dataPre.getElectValue()), |
|
||||||
String.valueOf(dataPre.getWaterLevel()) |
|
||||||
}; |
|
||||||
} |
|
||||||
|
|
||||||
@Override |
|
||||||
public void startTrainData(String buildingId) throws Exception { |
|
||||||
List<HistoryDataPre> trainData = historyDataPreMapper.getTrainData(buildingId); |
|
||||||
if (trainData == null || trainData.size() == 0) { |
|
||||||
return; |
|
||||||
} |
|
||||||
List<String[]> historyDataPreList = new ArrayList<>(); |
|
||||||
for (HistoryDataPre dataPre : trainData) { |
|
||||||
historyDataPreList.add(convert(dataPre)); |
|
||||||
} |
|
||||||
// 创建训练集矩阵
|
|
||||||
CsvInfo csvInfo = new CsvInfo(); |
|
||||||
csvInfo.setCsvFileList(new ArrayList<>(historyDataPreList)); |
|
||||||
Matrix trainSet = csvInfo.toMatrix(); |
|
||||||
|
|
||||||
// 创建BPNN工厂对象
|
|
||||||
BPNeuralNetworkFactory factory = new BPNeuralNetworkFactory(); |
|
||||||
|
|
||||||
// 创建BP参数对象
|
|
||||||
BPParameter bpParameter = new BPParameter(); |
|
||||||
bpParameter.setInputLayerNeuronCount(3); |
|
||||||
bpParameter.setHiddenLayerNeuronCount(3); |
|
||||||
bpParameter.setOutputLayerNeuronCount(3); |
|
||||||
bpParameter.setPrecision(0.01); |
|
||||||
bpParameter.setMaxTimes(50000); |
|
||||||
|
|
||||||
// 训练BP神经网络
|
|
||||||
BPModel bpModel = factory.trainBP(bpParameter, trainSet); |
|
||||||
|
|
||||||
// 将BPModel序列化到本地
|
|
||||||
SerializationUtil.serialize(bpModel, buildingId+"_pre_data"); |
|
||||||
} |
|
||||||
|
|
||||||
@Override |
|
||||||
public void startPredictData(String buildingId, String curDate) throws Exception { |
|
||||||
// 判断是否存在天气温度数据以及现在的用水量用电量等
|
|
||||||
// int isPre = historyDataPreMapper.selectIsPre(buildingId, curDate);
|
|
||||||
// if (isPre > 0) {
|
|
||||||
// return;
|
|
||||||
// }
|
|
||||||
// 获取当前天气数据
|
|
||||||
SysParamEntity sysParam = sysParamService.selectSysParam(); |
|
||||||
Object weather = caffeineCache.getIfPresent(sysParam.getProArea()); |
|
||||||
if (weather == null) { |
|
||||||
getWeatherInfoJob.getWeatherInfo(); |
|
||||||
weather = caffeineCache.getIfPresent(sysParam.getProArea()); |
|
||||||
} |
|
||||||
String weatherStr = (String) weather; |
|
||||||
JSONObject jsonObject = JSON.parseObject(weatherStr); |
|
||||||
if (null == jsonObject) { |
|
||||||
return; |
|
||||||
} |
|
||||||
String envMinTemp = "16.50"; |
|
||||||
String envMaxTemp = "26.00"; |
|
||||||
JSONArray jsonArray = jsonObject.getJSONArray("forecasts").getJSONObject(0).getJSONArray("casts"); |
|
||||||
for (int i = 0; i < jsonArray.size(); i++) { |
|
||||||
JSONObject jsonObject1 = jsonArray.getJSONObject(i); |
|
||||||
if (jsonObject1.getString("date").equals(curDate)) { |
|
||||||
envMinTemp =jsonObject1.getString("nighttemp"); |
|
||||||
envMaxTemp = jsonObject1.getString("daytemp"); |
|
||||||
break; |
|
||||||
} |
|
||||||
} |
|
||||||
// 获取当前用水量和用电量以及实际平均水位
|
|
||||||
HistoryDataPre curHistoryData = historyDataPreMapper.selectCurData(buildingId, curDate); |
|
||||||
// 插入数据
|
|
||||||
curHistoryData.setEnvMaxTemp(new BigDecimal(envMaxTemp)); |
|
||||||
curHistoryData.setEnvMinTemp(new BigDecimal(envMinTemp)); |
|
||||||
HistoryDataPre historyDataPre = historyDataPreMapper.selectOneData(buildingId, curDate); |
|
||||||
if (historyDataPre == null) { |
|
||||||
historyDataPreMapper.insertData(curHistoryData); |
|
||||||
} |
|
||||||
// 开始预测
|
|
||||||
HistoryDataPre historyDataPre1 = historyDataPreMapper.selectOneData(buildingId, curDate); |
|
||||||
String[] preData = new String[]{ |
|
||||||
historyDataPre1.getEnvMinTemp().toString(), |
|
||||||
historyDataPre1.getEnvMaxTemp().toString(), |
|
||||||
historyDataPre1.getPeopleNum().toString() |
|
||||||
}; |
|
||||||
|
|
||||||
CsvInfo csvInfo = new CsvInfo(); |
|
||||||
ArrayList<String[]> list = new ArrayList<>(); |
|
||||||
list.add(preData); |
|
||||||
csvInfo.setCsvFileList(list); |
|
||||||
Matrix data = csvInfo.toMatrix(); |
|
||||||
// 将BPModel反序列化
|
|
||||||
BPModel bpModel1 = (BPModel) SerializationUtil.deSerialization(buildingId+"_pre_data"); |
|
||||||
// 创建工厂
|
|
||||||
BPNeuralNetworkFactory factory = new BPNeuralNetworkFactory(); |
|
||||||
Matrix result = factory.computeBP(bpModel1, data); |
|
||||||
// 得出预测数据
|
|
||||||
HistoryDataPre preHistoryData = new HistoryDataPre(); |
|
||||||
preHistoryData.setId(historyDataPre1.getId()); |
|
||||||
preHistoryData.setBuildingId(buildingId); |
|
||||||
for (int i = 0; i < result.getMatrixRowCount(); i++) { |
|
||||||
String[] record = new String[result.getMatrixColCount()]; |
|
||||||
for (int j = 0; j < result.getMatrixColCount(); j++) { |
|
||||||
record[j] = String.valueOf(result.getValOfIdx(i, j)); |
|
||||||
} |
|
||||||
// 拼接预测值
|
|
||||||
preHistoryData.setWaterValuePre(evaluateAndReturnBigDecimal(record[0])); |
|
||||||
preHistoryData.setElectValuePre(evaluateAndReturnBigDecimal(record[1])); |
|
||||||
preHistoryData.setWaterLevelPre(evaluateAndReturnBigDecimal(record[2])); |
|
||||||
} |
|
||||||
preHistoryData.setWaterValue(curHistoryData.getWaterValue()); |
|
||||||
preHistoryData.setElectValue(curHistoryData.getElectValue()); |
|
||||||
preHistoryData.setWaterLevel(curHistoryData.getWaterLevel()); |
|
||||||
// 更新预测值
|
|
||||||
historyDataPreMapper.updateById(preHistoryData); |
|
||||||
} |
|
||||||
|
|
||||||
/** |
|
||||||
* 判断输入的字符串转换的BigDecimal是否小于或等于0,返回BigDecimal.ZERO。 |
|
||||||
* 如果小于或等于0,返回输入的BigDecimal;如果大于0,然后返回相应的BigDecimal值。 |
|
||||||
* |
|
||||||
* @param recordValue 记录中的值,用于转换为BigDecimal进行比较 |
|
||||||
* @return 经过判断后的BigDecimal值 |
|
||||||
*/ |
|
||||||
public static BigDecimal evaluateAndReturnBigDecimal(String recordValue) { |
|
||||||
BigDecimal value = new BigDecimal(recordValue); |
|
||||||
if (value.compareTo(BigDecimal.ZERO) >= 0) { |
|
||||||
return value.setScale(2, RoundingMode.HALF_UP); |
|
||||||
} else { |
|
||||||
return BigDecimal.ZERO; |
|
||||||
} |
|
||||||
} |
|
||||||
|
|
||||||
@Override |
|
||||||
public List<HistoryDataPre> getRecentData(String buildingId, String curDate) { |
|
||||||
return historyDataPreMapper.getRecentData(buildingId, curDate); |
|
||||||
} |
|
||||||
|
|
||||||
@Override |
|
||||||
public List<HashMap<String, Object>> getEnergyPre(String buildingId, String beginDate, String endDate, String type) { |
|
||||||
if (StringUtils.isBlank(beginDate) || StringUtils.isBlank(endDate)) { |
|
||||||
DateTimeFormatter formatter = DateTimeFormatter.ofPattern("yyyy-MM-dd"); |
|
||||||
// 获取当前日期
|
|
||||||
LocalDate now = LocalDate.now(); |
|
||||||
// 向前推30天
|
|
||||||
LocalDate startDate = now.minusDays(30); |
|
||||||
beginDate = startDate.format(formatter); |
|
||||||
// 结束日期是当前日期
|
|
||||||
endDate = now.format(formatter); |
|
||||||
} |
|
||||||
if (StringUtils.isBlank(buildingId) || StringUtils.isBlank(type)) { |
|
||||||
return null; |
|
||||||
} |
|
||||||
List<EnergyPreEchartDataDTO> energyPre = historyDataPreMapper.getEnergyPre(buildingId, beginDate, endDate, type); |
|
||||||
if (energyPre.size() == 0) { |
|
||||||
return null; |
|
||||||
} |
|
||||||
String[] curDate = energyPre.stream() |
|
||||||
.map(EnergyPreEchartDataDTO::getCurDate) |
|
||||||
.toArray(String[]::new); // 使用stream和map转换每个对象的特定字段为JSON字符串,然后转换成数组
|
|
||||||
String[] curData = energyPre.stream() |
|
||||||
.map(EnergyPreEchartDataDTO::getCurData) |
|
||||||
.toArray(String[]::new); // 使用stream和map转换每个对象的特定字段为JSON字符串,然后转换成数组
|
|
||||||
String[] preData = energyPre.stream() |
|
||||||
.map(EnergyPreEchartDataDTO::getPreData) |
|
||||||
.toArray(String[]::new); // 使用stream和map转换每个对象的特定字段为JSON字符串,然后转换成数组
|
|
||||||
String[] errorData = energyPre.stream() |
|
||||||
.map(EnergyPreEchartDataDTO::getErrorData) |
|
||||||
.toArray(String[]::new); // 使用stream和map转换每个对象的特定字段为JSON字符串,然后转换成数组
|
|
||||||
List<HashMap<String, Object>> resultList = new ArrayList<>(); |
|
||||||
HashMap<String, Object> resultHashMap = new HashMap<>(); |
|
||||||
resultHashMap.put("curDate", curDate); |
|
||||||
resultHashMap.put("curData", curData); |
|
||||||
resultHashMap.put("preData", preData); |
|
||||||
resultHashMap.put("errorData", errorData); |
|
||||||
resultList.add(resultHashMap); |
|
||||||
return resultList; |
|
||||||
} |
|
||||||
|
|
||||||
@Override |
|
||||||
public List<EnergyPreTopDataDTO> getTopData(String buildingId, String type) { |
|
||||||
// 获取顶部数据(昨日,昨日预测,今日预测,昨日偏差值)
|
|
||||||
return historyDataPreMapper.getTopData(buildingId, type); |
|
||||||
} |
|
||||||
} |
|
@ -1,47 +0,0 @@ |
|||||||
package com.mh.user.service.impl; |
|
||||||
|
|
||||||
import com.github.pagehelper.PageHelper; |
|
||||||
import com.mh.common.page.ColumnFilter; |
|
||||||
import com.mh.common.page.MybatisPageHelper; |
|
||||||
import com.mh.common.page.PageRequest; |
|
||||||
import com.mh.common.page.PageResult; |
|
||||||
import com.mh.user.entity.KnowledgeDataEntity; |
|
||||||
import com.mh.user.mapper.KnowledgeDataMapper; |
|
||||||
import com.mh.user.service.KnowledgeDataService; |
|
||||||
import org.springframework.stereotype.Service; |
|
||||||
|
|
||||||
import javax.annotation.Resource; |
|
||||||
|
|
||||||
/** |
|
||||||
* @author LJF |
|
||||||
* @version 1.0 |
|
||||||
* @project CHWS |
|
||||||
* @description 知识库服务实现类 |
|
||||||
* @date 2024-06-26 14:33:20 |
|
||||||
*/ |
|
||||||
@Service |
|
||||||
public class KnowledgeDataServiceImpl implements KnowledgeDataService { |
|
||||||
|
|
||||||
@Resource |
|
||||||
private KnowledgeDataMapper knowledgeDataMapper; |
|
||||||
|
|
||||||
@Override |
|
||||||
public void insertKnowledgeData(KnowledgeDataEntity knowledgeData) { |
|
||||||
knowledgeDataMapper.insertKnowledgeData(knowledgeData); |
|
||||||
} |
|
||||||
|
|
||||||
@Override |
|
||||||
public PageResult queryKnowledgeData(PageRequest pageRequest) { |
|
||||||
return MybatisPageHelper.findPage(pageRequest, knowledgeDataMapper); |
|
||||||
} |
|
||||||
|
|
||||||
@Override |
|
||||||
public void updateData(KnowledgeDataEntity knowledgeData) { |
|
||||||
knowledgeDataMapper.updateData(knowledgeData); |
|
||||||
} |
|
||||||
|
|
||||||
@Override |
|
||||||
public KnowledgeDataEntity getById(Long id) { |
|
||||||
return knowledgeDataMapper.getById(id); |
|
||||||
} |
|
||||||
} |
|
Loading…
Reference in new issue