鞍钢鲅鱼圈能源管控系统后端代码
已删除4个文件
已修改22个文件
已添加3个文件
1297 ■■■■ 文件已修改
ansteel-biz/src/main/java/com/iailab/module/ansteel/coking/dto/CokingOverviewDTO.java 14 ●●●● 补丁 | 查看 | 原始文档 | blame | 历史
ansteel-biz/src/main/java/com/iailab/module/ansteel/coking/entity/CokingOverviewEntity.java 14 ●●●● 补丁 | 查看 | 原始文档 | blame | 历史
ansteel-biz/src/main/java/com/iailab/module/ansteel/coking/service/CokingAnalyIndService.java 4 ●●● 补丁 | 查看 | 原始文档 | blame | 历史
ansteel-biz/src/main/java/com/iailab/module/ansteel/coking/service/CokingTraceDeviationService.java 3 ●●●●● 补丁 | 查看 | 原始文档 | blame | 历史
ansteel-biz/src/main/java/com/iailab/module/ansteel/coking/service/CokingTraceReportService.java 2 ●●● 补丁 | 查看 | 原始文档 | blame | 历史
ansteel-biz/src/main/java/com/iailab/module/ansteel/coking/service/CokingTraceSuggestService.java 2 ●●●●● 补丁 | 查看 | 原始文档 | blame | 历史
ansteel-biz/src/main/java/com/iailab/module/ansteel/coking/service/impl/CokingAnalyIndServiceImpl.java 27 ●●●● 补丁 | 查看 | 原始文档 | blame | 历史
ansteel-biz/src/main/java/com/iailab/module/ansteel/coking/service/impl/CokingOverviewServiceImpl.java 2 ●●● 补丁 | 查看 | 原始文档 | blame | 历史
ansteel-biz/src/main/java/com/iailab/module/ansteel/coking/service/impl/CokingTraceDeviationServiceImpl.java 75 ●●●●● 补丁 | 查看 | 原始文档 | blame | 历史
ansteel-biz/src/main/java/com/iailab/module/ansteel/coking/service/impl/CokingTraceIndServiceImpl.java 2 ●●● 补丁 | 查看 | 原始文档 | blame | 历史
ansteel-biz/src/main/java/com/iailab/module/ansteel/coking/service/impl/CokingTraceReportServiceImpl.java 3 ●●●● 补丁 | 查看 | 原始文档 | blame | 历史
ansteel-biz/src/main/java/com/iailab/module/ansteel/coking/service/impl/CokingTraceSuggestServiceImpl.java 16 ●●●●● 补丁 | 查看 | 原始文档 | blame | 历史
ansteel-biz/src/main/java/com/iailab/module/ansteel/job/task/RunCokingMainTask.java 6 ●●●● 补丁 | 查看 | 原始文档 | blame | 历史
ansteel-biz/src/main/java/com/iailab/module/ansteel/job/task/RunCokingOverviewTask.java 3 ●●●●● 补丁 | 查看 | 原始文档 | blame | 历史
ansteel-biz/src/main/java/com/iailab/module/ansteel/job/task/RunCokingTraceModelBMTask.java 210 ●●●● 补丁 | 查看 | 原始文档 | blame | 历史
ansteel-biz/src/main/java/com/iailab/module/ansteel/job/task/RunCokingTraceModelGXJTask.java 225 ●●●● 补丁 | 查看 | 原始文档 | blame | 历史
ansteel-biz/src/main/java/com/iailab/module/ansteel/job/task/RunCokingTraceModelHCTask.java 195 ●●●● 补丁 | 查看 | 原始文档 | blame | 历史
ansteel-biz/src/main/java/com/iailab/module/ansteel/job/task/RunCokingTraceModelLJTask.java 210 ●●●● 补丁 | 查看 | 原始文档 | blame | 历史
ansteel-biz/src/main/java/com/iailab/module/ansteel/job/task/RunPeakValleyFlatTask.java 197 ●●●●● 补丁 | 查看 | 原始文档 | blame | 历史
ansteel-biz/src/main/java/com/iailab/module/ansteel/job/task/RunScheduleModuleTask.java 4 ●●●● 补丁 | 查看 | 原始文档 | blame | 历史
ansteel-biz/src/main/java/com/iailab/module/ansteel/power/dao/PeakValleyFlatDao.java 16 ●●●●● 补丁 | 查看 | 原始文档 | blame | 历史
ansteel-biz/src/main/java/com/iailab/module/ansteel/power/entity/PeakValleyFlatEntity.java 59 ●●●●● 补丁 | 查看 | 原始文档 | blame | 历史
ansteel-biz/src/main/resources/application-dev.yaml 7 ●●●● 补丁 | 查看 | 原始文档 | blame | 历史
ansteel-biz/src/main/resources/application.yaml 1 ●●●● 补丁 | 查看 | 原始文档 | blame | 历史
doc/鞍钢数据接口文档20250321.doc 补丁 | 查看 | 原始文档 | blame | 历史
doc/鞍钢数据接口文档20250321.pdf 补丁 | 查看 | 原始文档 | blame | 历史
doc/鞍钢数据接口文档20250328.doc 补丁 | 查看 | 原始文档 | blame | 历史
doc/鞍钢数据接口文档20250328.pdf 补丁 | 查看 | 原始文档 | blame | 历史
doc/鞍钢数据接口文档_master.doc 补丁 | 查看 | 原始文档 | blame | 历史
ansteel-biz/src/main/java/com/iailab/module/ansteel/coking/dto/CokingOverviewDTO.java
@@ -113,7 +113,17 @@
    private BigDecimal gxls;
    /**
     * 峰谷占比
     * 峰时占比
     */
    private BigDecimal fgRatio;
    private BigDecimal fsRatio;
    /**
     * 谷时占比
     */
    private BigDecimal gsRatio;
    /**
     * 平时占比
     */
    private BigDecimal psRatio;
}
ansteel-biz/src/main/java/com/iailab/module/ansteel/coking/entity/CokingOverviewEntity.java
@@ -107,7 +107,17 @@
    private BigDecimal gxls;
    /**
     * 峰谷占比
     * 峰时占比
     */
    private BigDecimal fgRatio;
    private BigDecimal fsRatio;
    /**
     * 谷时占比
     */
    private BigDecimal gsRatio;
    /**
     * 平时占比
     */
    private BigDecimal psRatio;
}
ansteel-biz/src/main/java/com/iailab/module/ansteel/coking/service/CokingAnalyIndService.java
@@ -16,5 +16,7 @@
    void save(List<CokingAnalyIndEntity> entityList);
    void delete(String analyType, String analyDate, String analyClass);
    void delete(String analyType, String analyDate);
    void saveAnalyInd(String relId, String process, String analyDate, String analyContent);
}
ansteel-biz/src/main/java/com/iailab/module/ansteel/coking/service/CokingTraceDeviationService.java
@@ -1,6 +1,7 @@
package com.iailab.module.ansteel.coking.service;
import com.alibaba.fastjson.JSONObject;
import com.iailab.module.ansteel.coking.entity.CokingTraceDeviationEntity;
import java.util.List;
@@ -16,4 +17,6 @@
    List<CokingTraceDeviationEntity> list(Map<String, Object> params);
    void save(List<CokingTraceDeviationEntity> entityList);
    void saveTraceDeviation(String relId, String process, String clock, JSONObject result, String chartcode, String row, String sugObj);
}
ansteel-biz/src/main/java/com/iailab/module/ansteel/coking/service/CokingTraceReportService.java
@@ -14,7 +14,7 @@
public interface CokingTraceReportService {
    List<CokingTraceReportEntity> list(Map<String, Object> params);
    String save(String process, String reportName, String analyDate, String analyClass, String clock, String analyContent);
    String save(String process, String reportName, String analyDate, String clock, String analyContent);
    String save(CokingTraceReportEntity reportEntity);
}
ansteel-biz/src/main/java/com/iailab/module/ansteel/coking/service/CokingTraceSuggestService.java
@@ -20,4 +20,6 @@
    void insert(List<CokingTraceSuggestEntity> suggestEntitieList);
    List<CokingTraceSuggestEntity> getAbnormalData(Map<String, Object> params);
    void saveTraceSuggest(String relId, String process, String clock, String total, String sugObj);
}
ansteel-biz/src/main/java/com/iailab/module/ansteel/coking/service/impl/CokingAnalyIndServiceImpl.java
@@ -9,6 +9,7 @@
import org.springframework.stereotype.Service;
import javax.annotation.Resource;
import java.util.ArrayList;
import java.util.List;
import java.util.Map;
@@ -41,13 +42,33 @@
    }
    @Override
    public void delete(String analyType, String analyDate, String analyClass) {
    public void delete(String analyType, String analyDate) {
        QueryWrapper<CokingAnalyIndEntity> queryWrapper = new QueryWrapper<>();
        queryWrapper.eq("analy_type", analyType)
                .eq("analy_date", analyDate)
                .eq("analy_class", analyClass);
                .eq("analy_date", analyDate);
        cokingAnalyIndDao.delete(queryWrapper);
    }
    @Override
    public void saveAnalyInd(String relId, String process, String analyDate, String analyContent) {
        if (StringUtils.isBlank(analyContent)) {
            return;
        }
        String[] analyContentArr = analyContent.split(";");
        List<CokingAnalyIndEntity> entityList = new ArrayList<>();
        for (int i = 0; i < analyContentArr.length; i++) {
            CokingAnalyIndEntity analyIndEntity = new CokingAnalyIndEntity();
            analyIndEntity.setRelId(relId);
            analyIndEntity.setAnalyType(process);
            analyIndEntity.setAnalyDate(analyDate);
            analyIndEntity.setAnalyContent(analyContentArr[i]);
            analyIndEntity.setSort(i + 1);
            entityList.add(analyIndEntity);
        }
        // 清理旧数据
        delete(process, analyDate);
        cokingAnalyIndDao.insert(entityList);
    }
}
ansteel-biz/src/main/java/com/iailab/module/ansteel/coking/service/impl/CokingOverviewServiceImpl.java
@@ -64,7 +64,7 @@
        QueryWrapper<CokingOverviewEntity> queryWrapperMonth = new QueryWrapper<>();
        queryWrapperMonth.eq("process_type", processType);
        queryWrapperMonth.between("clock", monthStartClock,clock);
        queryWrapperMonth.select("sub_process_type","SUM(steam_p) as steam_p","SUM(dj_steam_p) as dj_steam_p","SUM(steam_c) as steam_c","SUM(steam_only_c) as steam_only_c","SUM(steam_v) as steam_v","SUM(gas_p) as gas_p","SUM(gas_c) as gas_c","SUM(power_c) as power_c","SUM(power_only_c) as power_only_c","SUM(power_c_standard) as power_c_standard","SUM(idle_time) as idle_time","SUM(bfg_c) as bfg_c","SUM(cog_p) as cog_p","SUM(cog_c) as cog_c","SUM(bfg_only_c) as bfg_only_c","SUM(cog_only_c) as cog_only_c","SUM(gxls) as gxls","SUM(fg_ratio) as fg_ratio")
        queryWrapperMonth.select("sub_process_type","SUM(steam_p) as steam_p","SUM(dj_steam_p) as dj_steam_p","SUM(steam_c) as steam_c","SUM(steam_only_c) as steam_only_c","SUM(steam_v) as steam_v","SUM(gas_p) as gas_p","SUM(gas_c) as gas_c","SUM(power_c) as power_c","SUM(power_only_c) as power_only_c","SUM(power_c_standard) as power_c_standard","SUM(idle_time) as idle_time","SUM(bfg_c) as bfg_c","SUM(cog_p) as cog_p","SUM(cog_c) as cog_c","SUM(bfg_only_c) as bfg_only_c","SUM(cog_only_c) as cog_only_c","SUM(gxls) as gxls","SUM(fs_ratio) as fs_ratio","SUM(gs_ratio) as gs_ratio","SUM(ps_ratio) as ps_ratio")
                .groupBy("sub_process_type");
        List<CokingOverviewEntity> monthList = cokingOverviewDao.selectList(queryWrapperMonth);
ansteel-biz/src/main/java/com/iailab/module/ansteel/coking/service/impl/CokingTraceDeviationServiceImpl.java
@@ -1,15 +1,24 @@
package com.iailab.module.ansteel.coking.service.impl;
import com.alibaba.fastjson.JSON;
import com.alibaba.fastjson.JSONArray;
import com.alibaba.fastjson.JSONObject;
import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper;
import com.iailab.module.ansteel.coking.dao.CokingTraceDeviationDao;
import com.iailab.module.ansteel.coking.entity.CokingTraceDeviationEntity;
import com.iailab.module.ansteel.coking.service.CokingTraceDeviationService;
import com.iailab.module.model.api.mcs.McsApi;
import com.iailab.module.model.api.mcs.dto.ChartParamDTO;
import org.apache.commons.lang3.StringUtils;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;
import org.springframework.util.CollectionUtils;
import java.math.BigDecimal;
import java.util.ArrayList;
import java.util.List;
import java.util.Map;
import java.util.stream.Collectors;
/**
 * 焦化工序影响因数偏差值
@@ -22,6 +31,9 @@
    @Autowired
    private CokingTraceDeviationDao cokingTraceDeviationDao;
    @Autowired
    private McsApi mcsApi;
    @Override
    public List<CokingTraceDeviationEntity> list(Map<String, Object> params) {
@@ -38,4 +50,67 @@
    public void save(List<CokingTraceDeviationEntity> entityList) {
        cokingTraceDeviationDao.insert(entityList);
    }
    @Override
    public void saveTraceDeviation(String relId, String process, String clock, JSONObject result, String chartcode, String row, String sugObj) {
        List<ChartParamDTO> list = mcsApi.getChartParamList(chartcode);
        Map<String, String> indexMaps = list.stream().collect(Collectors.toMap(ChartParamDTO::getParamCode, e -> e.getParamName()));
        List<String> rowKeys = new ArrayList<>();
        result.forEach((key, value) -> {
            if (StringUtils.isNotBlank(key) && key.contains(row)) {
                rowKeys.add(key);
            }
        });
        List<CokingTraceDeviationEntity> entityList = new ArrayList<>();
        for (String key : rowKeys) {
            JSONArray rowArr = JSON.parseArray(result.get(key).toString());
            if (CollectionUtils.isEmpty(rowArr)) {
                continue;
            }
            CokingTraceDeviationEntity entity = new CokingTraceDeviationEntity();
            entity.setRelId(relId);
            entity.setProcess(process);
            entity.setClock(clock);
            entity.setSugObj(sugObj);
            entity.setInd1Name(indexMaps.get(new BigDecimal(rowArr.getJSONArray(0).get(0).toString()).setScale(0, BigDecimal.ROUND_HALF_UP).toString()));
            entity.setInd1Value(rowArr.getJSONArray(0).get(1).toString());
            entity.setInd1Unit("");
            entity.setInd2Name(indexMaps.get(new BigDecimal(rowArr.getJSONArray(1).get(0).toString()).setScale(0, BigDecimal.ROUND_HALF_UP).toString()));
            entity.setInd2Value(rowArr.getJSONArray(1).get(1).toString());
            entity.setInd2Unit("");
            if (rowArr.size() > 2) {
                entity.setFac1Name(indexMaps.get(new BigDecimal(rowArr.getJSONArray(2).get(0).toString()).setScale(0, BigDecimal.ROUND_HALF_UP).toString()));
                entity.setFac1Value(rowArr.getJSONArray(2).get(1).toString());
                entity.setFac1Unit("");
            }
            if (rowArr.size() > 3) {
                entity.setFac2Name(indexMaps.get(new BigDecimal(rowArr.getJSONArray(3).get(0).toString()).setScale(0, BigDecimal.ROUND_HALF_UP).toString()));
                entity.setFac2Value(rowArr.getJSONArray(3).get(1).toString());
                entity.setFac2Unit("");
            }
            if (rowArr.size() > 4) {
                entity.setFac3Name(indexMaps.get(new BigDecimal(rowArr.getJSONArray(4).get(0).toString()).setScale(0, BigDecimal.ROUND_HALF_UP).toString()));
                entity.setFac3Value(rowArr.getJSONArray(4).get(1).toString());
                entity.setFac3Unit("");
            }
            if (rowArr.size() > 5) {
                entity.setFac4Name(indexMaps.get(new BigDecimal(rowArr.getJSONArray(5).get(0).toString()).setScale(0, BigDecimal.ROUND_HALF_UP).toString()));
                entity.setFac4Value(rowArr.getJSONArray(5).get(1).toString());
                entity.setFac4Unit("");
            }
            if (rowArr.size() > 6) {
                entity.setFac5Name(indexMaps.get(new BigDecimal(rowArr.getJSONArray(6).get(0).toString()).setScale(0, BigDecimal.ROUND_HALF_UP).toString()));
                entity.setFac5Value(rowArr.getJSONArray(6).get(1).toString());
                entity.setFac5Unit("");
            }
            entityList.add(entity);
        }
        cokingTraceDeviationDao.insert(entityList);
    }
}
ansteel-biz/src/main/java/com/iailab/module/ansteel/coking/service/impl/CokingTraceIndServiceImpl.java
@@ -71,7 +71,7 @@
            if (StringUtils.isBlank(conf.getPointNo())) {
                continue;
            }
            String value = "";
            String value = "0";
            switch (ProcessConfDataTypeEnum.getEumByCode(conf.getDataType())) {
                case DATAPOINT:
                    List<String> points = new ArrayList<>();
ansteel-biz/src/main/java/com/iailab/module/ansteel/coking/service/impl/CokingTraceReportServiceImpl.java
@@ -30,7 +30,7 @@
    }
    @Override
    public String save(String process, String reportName, String analyDate, String analyClass, String clock, String analyContent) {
    public String save(String process, String reportName, String analyDate, String clock, String analyContent) {
        // 先删除,防止重复
        QueryWrapper<CokingTraceReportEntity> queryWrapper = new QueryWrapper<>();
        queryWrapper.eq("process", process);
@@ -43,7 +43,6 @@
        entity.setProcess(process);
        entity.setReportName(process + "异常溯源报告");
        entity.setAnalyDate(analyDate);
        entity.setAnalyClass(analyClass);
        entity.setClock(clock);
        entity.setAnalyContent(analyContent);
        entity.setCreateDate(new Date());
ansteel-biz/src/main/java/com/iailab/module/ansteel/coking/service/impl/CokingTraceSuggestServiceImpl.java
@@ -10,6 +10,7 @@
import org.springframework.stereotype.Service;
import java.util.Calendar;
import java.util.Date;
import java.util.List;
import java.util.Map;
@@ -63,4 +64,19 @@
                .orderByAsc("create_date");
        return cokingTraceSuggestDao.selectList(queryWrapper);
    }
    @Override
    public void saveTraceSuggest(String relId, String process, String clock, String total, String sugObj) {
        if (StringUtils.isBlank(total)) {
            return;
        }
        CokingTraceSuggestEntity suggestEntity = new CokingTraceSuggestEntity();
        suggestEntity.setRelId(relId);
        suggestEntity.setProcess(process);
        suggestEntity.setSugObj(sugObj);
        suggestEntity.setClock(clock);
        suggestEntity.setContent(total);
        suggestEntity.setCreateDate(new Date());
        cokingTraceSuggestDao.insert(suggestEntity);
    }
}
ansteel-biz/src/main/java/com/iailab/module/ansteel/job/task/RunCokingMainTask.java
@@ -113,7 +113,7 @@
                    processMainEntity.setAvgValue(BigDecimal.valueOf(avgValue));
                    // 历史最优
                    double baseValue = 0.0;
                    if (Double.valueOf(conf.getExt3()) > 0.0) {
                    if (conf.getExt3() == null || Double.valueOf(conf.getExt3()) > 0.0) {
                        baseValue = historyList_90.stream().mapToDouble(e -> e.getRealValue().doubleValue()).max().orElse(0.0);
                    }else {
                        baseValue = historyList_90.stream().mapToDouble(e -> e.getRealValue().doubleValue()).min().orElse(0.0);
@@ -142,6 +142,10 @@
                                // 干熄焦蒸汽产生
                                BigDecimal mainGxjzqcs = resultCodeMap.get("main_gxjzqcs").getRealValue();
                                e.setRealValue(mainGxjzqcs.divide(jtcl,2,BigDecimal.ROUND_HALF_UP));
                                e.setRealValue(e.getAvgValue());
                                e.setAvgValue(e.getAvgValue().divide(jtcl,2,BigDecimal.ROUND_HALF_UP));
                            }
                            // 吨焦耗煤气
                            if (e.getIndCode().equals("main_djhmq") && resultCodeMap.containsKey("main_glmqxh") && resultCodeMap.containsKey("main_jlmqxh")) {
ansteel-biz/src/main/java/com/iailab/module/ansteel/job/task/RunCokingOverviewTask.java
@@ -214,6 +214,9 @@
                break;
        }
        if (value != null && StringUtils.isNotBlank(conf.getExt5())) {
            value = value * Double.valueOf(conf.getExt5());
        }
        return value;
    }
}
ansteel-biz/src/main/java/com/iailab/module/ansteel/job/task/RunCokingTraceModelBMTask.java
@@ -1,26 +1,20 @@
package com.iailab.module.ansteel.job.task;
import com.alibaba.fastjson.JSON;
import com.alibaba.fastjson.JSONArray;
import com.alibaba.fastjson.JSONObject;
import com.iailab.framework.common.util.date.DateUtils;
import com.iailab.module.ansteel.coking.entity.CokingAnalyIndEntity;
import com.iailab.module.ansteel.coking.entity.CokingTraceDeviationEntity;
import com.iailab.module.ansteel.coking.entity.CokingTraceSuggestEntity;
import com.iailab.module.ansteel.coking.service.*;
import com.iailab.module.ansteel.common.constant.CommonConstant;
import com.iailab.module.model.api.mcs.McsApi;
import com.iailab.module.model.api.mcs.dto.ChartParamDTO;
import org.apache.commons.lang3.StringUtils;
import com.iailab.module.model.api.mdk.MdkApi;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Component;
import org.springframework.transaction.annotation.Transactional;
import org.springframework.util.CollectionUtils;
import java.util.*;
import java.util.stream.Collectors;
import java.util.Calendar;
import java.util.Date;
import java.util.Objects;
/**
 * 备煤工序异常溯源
@@ -49,13 +43,13 @@
    private CokingTraceIndService cokingTraceIndService;
    @Autowired
    private CokingTraceConfService cokingTraceConfService;
    @Autowired
    private CokingTraceChartService cokingTraceChartService;
    @Autowired
    private McsApi mcsApi;
    @Autowired
    private MdkApi mdkApi;
    private final static String process = "备煤工序";
@@ -65,31 +59,24 @@
    private final static String indType = "备煤工序异常溯源";
    private final static String coalRow = "coalRow";
    private final static String row = "coalRow";
    private static final HashMap<String, Object> coalColoumMap = new HashMap<String, Object>() {{
        put("coalColoum0", "一级指标-偏差值");
        put("coalColoum1", "二级指标-偏差值");
        put("coalColoum2", "影响因素1-偏差值");
    }};
    private static final HashMap<String, Object> historyPointMap = new HashMap<String, Object>() {{
        put("F0000101008", "备煤耗电");
    }};
    private final static String total = "coalPrepElecTotal1";
    private static final String jsonStr = "{\n" + "    " +
            "\"result\": {\n" +
            "\"coalPrepElec\":[1600.8,1613.5],\n" +
            "\"coalPrepElecIndex\":[[0.8,0.73],[723,608],[1782,1782],[752,743],[729,783]],\n" +
            "\"coalPrepElecTotal1\":\"1#粉碎机耗电因粉碎机偏高增加220KW/h,经模型计算,建建议调整单班用煤量,预计可使粉碎机耗电量指标降低170KW/h\",\n" +
            "\"coalPrepElecTotal2\":\"1#粉碎机耗电量数据异常\",\n" +
            "\"coalRow0\":[[0,450],[0,137],[0,342]],\n" +
            "\"coalRow1\":[[0,450],[3,134],[1,142]],\n" +
            "\"coalRow2\":[[4,142],[4,132],[4,349]],\n" +
            "\"coalPrepElecHomePage\":[[50,42],[10,10]],\n" +
            "\"coalHomeIndex\":[[90.4,90.2],[80.3,78],[103,100],[280,270]],\n" +
            "\"coalIndexInfo\":\"4月25日甲班:备煤耗电异常\",\n" +
            "\"coalErr\":\"4月25日粉碎机耗电数据异常(无数据)\"\n" + "    }" + "}";
            "\"coalHomeIndexInfo\":\"备煤耗电偏高\"," +
            "\"coalPrepElec\":[1600.8,1613.5]," +
            "\"coalPrepElecTotal1\":\"备煤耗电量偏高,经模型计算,原因和调整建议如下:煤量异常,当前值2000, 建议调整煤量至区间[765.0,1020.0]\"," +
            "\"coalPrepElecTime\":[[0.3,0.3],[1700.31,1900.2],[120.3]]," +
            "\"coalPrepElecIndex\":[133527.2,283517.6,83451.5,233461.2,83564.4]," +
            "\"coalRow0\":[[0.0,1000.3],[1.0,120.2],[7.0,1150.32]]," +
            "\"coalRow1\":[[0.0,1000.5],[2.0,200.56],[7.0,120.2]]," +
            "\"coalRow2\":[[0.0,1000.6],[3.0,261.7],[7.0,170.52]]," +
            "\"coalPrepElecHomePage\":[503000.6,84.04]," +
            "\"coalHomeIndex\":[30.0,4.6,523000.6]" +
            "  }" +
            "}";
    @Override
    public void run(String params) {
@@ -99,36 +86,24 @@
            calendar.set(Calendar.MILLISECOND, 0);
            calendar.set(Calendar.SECOND, 0);
            calendar.set(Calendar.MINUTE, 0);
            int hour = calendar.get(Calendar.HOUR_OF_DAY);
            Date startDate = calendar.getTime();
            calendar.set(Calendar.HOUR_OF_DAY, 0);
            Date endDate = calendar.getTime();
            String clock = "";
            String analyClass = "";
            if (hour >= 8 && hour < 16) {
                calendar.set(Calendar.HOUR_OF_DAY, 0);
                startDate = calendar.getTime();
                calendar.add(Calendar.HOUR_OF_DAY, 8);
                endDate = calendar.getTime();
                clock = DateUtils.format(startDate).concat("-").concat("A");
                analyClass = "甲班";
            } else if (hour >= 16 && hour < 24) {
                calendar.set(Calendar.HOUR_OF_DAY, 8);
                startDate = calendar.getTime();
                calendar.add(Calendar.HOUR_OF_DAY, 8);
                endDate = calendar.getTime();
                clock = DateUtils.format(startDate).concat("-").concat("B");
                analyClass = "乙班";
            } else if (hour >= 0 && hour < 8) {
                calendar.add(Calendar.DAY_OF_YEAR, -1);
                calendar.set(Calendar.HOUR_OF_DAY, 16);
                startDate = calendar.getTime();
                calendar.add(Calendar.HOUR_OF_DAY, 8);
                endDate = calendar.getTime();
                clock = DateUtils.format(startDate).concat("-").concat("B");
                analyClass = "丙班";
            }
            calendar.add(Calendar.DAY_OF_YEAR, -1);
            Date startDate = calendar.getTime();
            String clock = DateUtils.format(startDate);
            // 调用模型
     /*       MdkScheduleReqDTO dto = new MdkScheduleReqDTO();
            dto.setScheduleTime(calendar.getTime());
            dto.setScheduleCode(params);
            MdkScheduleRespDTO mdkScheduleRespDTO = mdkApi.doSchedule(dto);
            logger.info(params + "调度方案执行完成," + mdkScheduleRespDTO);
            Map<String, Object> result = mdkScheduleRespDTO.getResult();
            JSONObject jsonObject = new JSONObject(result);
            JSONObject result2 = (JSONObject) JSON.toJSON(jsonObject.get("result"));*/
            JSONObject jsonObject = JSONObject.parseObject(jsonStr);
            JSONObject result = (JSONObject) JSON.toJSON(jsonObject.get("result"));
@@ -139,17 +114,17 @@
            // 保存报告
            String analyDate = DateUtils.format(startDate);
            String analyContent = result.getString("coalIndexInfo");
            String relId = cokingTraceReportService.save(process, reportName, analyDate, analyClass, clock, analyContent);
            String analyContent = clock + " " + result.getString("coalHomeIndexInfo");
            String relId = cokingTraceReportService.save(process, reportName, analyDate, clock, analyContent);
            // 保存一级分析指标
            saveAnalyInd(relId, process, analyDate, analyClass, analyContent);
            cokingAnalyIndService.saveAnalyInd(relId, process, analyDate, analyContent);
            // 保存优化建议
            saveTraceSuggest(relId, process, clock, result);
            cokingTraceSuggestService.saveTraceSuggest(relId, process, clock, total, SugObj);
            // 保存偏差值
            saveTraceDeviation(relId, process, clock, result);
            cokingTraceDeviationService.saveTraceDeviation(relId, process, clock, result, CommonConstant.COKE_INDEX_CHARTCODE, row, SugObj);
            // 保存溯源指标
            cokingTraceIndService.saveTraceInd(relId, indType, clock);
@@ -162,108 +137,5 @@
            ex.printStackTrace();
        }
        logger.info("RunCokingTraceModelBMTask运行完成");
    }
    public void saveTraceSuggest(String relId, String process, String clock, JSONObject result) {
        String coalTotal = result.get("coalPrepElecTotal1").toString();
        if (StringUtils.isBlank(coalTotal)) {
            logger.info("coalPrepElecTotal1 is null");
            return;
        }
        CokingTraceSuggestEntity suggestEntity = new CokingTraceSuggestEntity();
        suggestEntity.setRelId(relId);
        suggestEntity.setProcess(process);
        suggestEntity.setSugObj(SugObj);
        suggestEntity.setClock(clock);
        suggestEntity.setContent(coalTotal);
        suggestEntity.setCreateDate(new Date());
        cokingTraceSuggestService.save(suggestEntity);
    }
    @Transactional
    public void saveTraceDeviation(String relId, String process, String clock, JSONObject result) {
        List<ChartParamDTO> list = mcsApi.getChartParamList(CommonConstant.COAL_INDEX_CHARTCODE);
        Map<String, String> steamIndexMaps = list.stream().collect(Collectors.toMap(ChartParamDTO::getParamCode, e -> e.getParamName()));
        List<String> coalRowKeys = new ArrayList<>();
        result.forEach((key, value) -> {
            if (StringUtils.isNotBlank(key) && key.contains(coalRow)) {
                coalRowKeys.add(key);
            }
        });
        List<CokingTraceDeviationEntity> entityList = new ArrayList<>();
        for (String key : coalRowKeys) {
            JSONArray rowArr = JSON.parseArray(result.get(key).toString());
            if (CollectionUtils.isEmpty(rowArr)) {
                continue;
            }
            CokingTraceDeviationEntity entity = new CokingTraceDeviationEntity();
            entity.setRelId(relId);
            entity.setProcess(process);
            entity.setClock(clock);
            entity.setSugObj(SugObj);
            entity.setInd1Name(steamIndexMaps.get(rowArr.getJSONArray(0).get(0).toString()));
            entity.setInd1Value(rowArr.getJSONArray(0).get(1).toString());
            entity.setInd1Unit("");
            entity.setInd2Name(steamIndexMaps.get(rowArr.getJSONArray(1).get(0).toString()));
            entity.setInd2Value(rowArr.getJSONArray(1).get(1).toString());
            entity.setInd2Unit("");
            if (rowArr.size() > 2) {
                entity.setFac1Name(steamIndexMaps.get(rowArr.getJSONArray(2).get(0).toString()));
                entity.setFac1Value(rowArr.getJSONArray(2).get(1).toString());
                entity.setFac1Unit("");
            }
            if (rowArr.size() > 3) {
                entity.setFac2Name(steamIndexMaps.get(rowArr.getJSONArray(3).get(0).toString()));
                entity.setFac2Value(rowArr.getJSONArray(3).get(1).toString());
                entity.setFac2Unit("");
            }
            if (rowArr.size() > 4) {
                entity.setFac3Name(steamIndexMaps.get(rowArr.getJSONArray(4).get(0).toString()));
                entity.setFac3Value(rowArr.getJSONArray(4).get(1).toString());
                entity.setFac3Unit("");
            }
            if (rowArr.size() > 5) {
                entity.setFac4Name(steamIndexMaps.get(rowArr.getJSONArray(5).get(0).toString()));
                entity.setFac4Value(rowArr.getJSONArray(5).get(1).toString());
                entity.setFac4Unit("");
            }
            if (rowArr.size() > 6) {
                entity.setFac5Name(steamIndexMaps.get(rowArr.getJSONArray(6).get(0).toString()));
                entity.setFac5Value(rowArr.getJSONArray(6).get(1).toString());
                entity.setFac5Unit("");
            }
            entityList.add(entity);
        }
        cokingTraceDeviationService.save(entityList);
    }
    public void saveAnalyInd(String relId, String process, String analyDate, String analyClass, String analyContent) {
        if (StringUtils.isBlank(analyContent)) {
            logger.info("analyContent is null");
            return;
        }
        String[] analyContentArr = analyContent.split(";");
        List<CokingAnalyIndEntity> entityList = new ArrayList<>();
        for (int i = 0; i < analyContentArr.length; i++) {
            CokingAnalyIndEntity analyIndEntity = new CokingAnalyIndEntity();
            analyIndEntity.setRelId(relId);
            analyIndEntity.setAnalyType(process);
            analyIndEntity.setAnalyDate(analyDate);
            analyIndEntity.setAnalyClass(analyClass);
            analyIndEntity.setAnalyContent(analyContentArr[i]);
            analyIndEntity.setSort(i + 1);
            entityList.add(analyIndEntity);
        }
        // 清理旧数据
        cokingAnalyIndService.delete(process, analyDate, analyClass);
        cokingAnalyIndService.save(entityList);
    }
}
ansteel-biz/src/main/java/com/iailab/module/ansteel/job/task/RunCokingTraceModelGXJTask.java
@@ -1,26 +1,20 @@
package com.iailab.module.ansteel.job.task;
import com.alibaba.fastjson.JSON;
import com.alibaba.fastjson.JSONArray;
import com.alibaba.fastjson.JSONObject;
import com.iailab.framework.common.util.date.DateUtils;
import com.iailab.module.ansteel.coking.entity.CokingAnalyIndEntity;
import com.iailab.module.ansteel.coking.entity.CokingTraceDeviationEntity;
import com.iailab.module.ansteel.coking.entity.CokingTraceSuggestEntity;
import com.iailab.module.ansteel.coking.service.*;
import com.iailab.module.ansteel.common.constant.CommonConstant;
import com.iailab.module.model.api.mcs.McsApi;
import com.iailab.module.model.api.mcs.dto.ChartParamDTO;
import org.apache.commons.lang3.StringUtils;
import com.iailab.module.model.api.mdk.MdkApi;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Component;
import org.springframework.transaction.annotation.Transactional;
import org.springframework.util.CollectionUtils;
import java.util.*;
import java.util.stream.Collectors;
import java.util.Calendar;
import java.util.Date;
import java.util.Objects;
/**
 * 干熄焦工序-异常溯源
@@ -52,50 +46,36 @@
    @Autowired
    private McsApi mcsApi;
    @Autowired
    private MdkApi mdkApi;
    private final static String process = "干熄焦工序";
    private final static String reportName = "干熄焦工序异常溯源";
    private final static String indType = "干熄焦工序异常溯源";
    private final static String steamRow = "steamRow";
    private final static String row = "steamRow";
    private static final HashMap<String, Object> steamFirstColoumMap = new HashMap<String, Object>() {{
        put("steamFirstColoum0", "一级指标-偏差值");
        put("steamFirstColoum1", "二级指标-偏差值");
        put("steamFirstColoum2", "影响因素1-偏差值");
        put("steamFirstColoum3", "影响因素2-偏差值");
        put("steamFirstColoum4", "影响因素3-偏差值");
        put("steamFirstColoum5", "影响因素n-偏差值");
    }};
    private final static String total = "steamTotal1";
    private static final HashMap<String, Object> steamSecondColoumMap = new HashMap<String, Object>() {{
        put("steamSecondColoum0", "一级指标-偏差值");
        put("steamSecondColoum1", "二级指标-偏差值");
        put("steamSecondColoum2", "影响因素1-偏差值");
        put("steamSecondColoum3", "影响因素2-偏差值");
        put("steamSecondColoum4", "影响因素3-偏差值");
        put("steamSecondColoum5", "影响因素n-偏差值");
    }};
    private final static String SugObj = "GXJ";
    private static final String jsonStr="{\"result\":{" +
            "      \"steamTotal\":\"2#干熄焦蒸汽发生量因空气导入量偏高、锅炉入口温度偏低而减少13t,经模型计算,建议调整空气导入量,预计可使主蒸汽流量指标升高20m3/h\",\n" +
            "      \"steamRow0\":[[14,20],[14,30],[14,35]],\n" +
            "      \"steamRow1\":[[10,5],[11,15],[21,20]],\n" +
            "      \"steamRow2\":[[74,8],[36,18],[35,34]],\n" +
            "      \"steamRow3\":[[24,67],[6,12],[19,21]],\n" +
            "      \"steamRow4\":[[21,19],[22,31],[8,42]],\n" +
            "      \"steamRow5\":[[11,45],[9,62],[18,34]],\n" +
            "      \"steamSecondColoum0\":[[14,20],[14,50],[14,13]],\n" +
            "      \"steamSecondColoum1\":[[11,27],[10,35],[22,16]],\n" +
            "      \"steamSecondColoum2\":[[36,90],[35,34],[74,55]],\n" +
            "      \"steamSecondColoum3\":[[6,66],[19,73],[21,31]],\n" +
            "      \"steamSecondColoum4\":[[22,65],[8,22],[21,67]],\n" +
            "      \"steamSecondColoum5\":[[9,29],[11,56],[18,61]],\n" +
            "      \"steamHomePage\":[[663,617],[66.5,68.9]],\n" +
            "      \"steamHomeIndex\":[[90.4,90.2],[80.3,78],[103,100],[280,270]],\n" +
            "      \"steamHomeIndexInfo\":\"4月25日甲班:干熄焦产蒸汽量异常\",\n" +
            "      \"steamHomeErr\":\"4月25日循环风机转速数据异常(无数据)\"}}";
    private static final String jsonStr = "{\"result\":{" +
            " \"steamProd\":[[0.76,0.76],[07,0.72],[0.74,0.68]]," +
            "\"steamRow0\":[[14.0,20.7],[14.0,30.5],[14.0,35.2],[24.0,67.9],[6.0,12.3]]," +
            "\"steamRow1\":[[10.0,5.5],[11.0,15.1],[21.0,20.6],[22.0,31.3],[8.0,42.5]]," +
            "\"steamRow2\":[[74.0,8.2],[36.0,18.2],[35.0,34.6],[9.0,62.4],[18.0,34.7]]," +
            "\"steamPressure\":[3.7,3.6,3.4]," +
            "\"steamHomePage\":[[220.4,223.5],[0.5],[673214.3]]," +
            "\"steamHomeIndexInfo\":\"干熄焦产蒸汽量异常\"," +
            "\"steamTemperature\":[461.3,460.4,456.6]," +
            "\"steamElec\":[233564.3,224571.7,246120.2,603157.7]," +
            "\"steamIndex\":[[3.182,3.265,3.275],[1250.3,1293.1,1264.05],[890.3,886.32,901.21],[161495.2,171043.5,168533.6],[203667.2,238742.6,226731.7],[223548.3,223097.9,226733.3]]," +
            "\"steamTotal1\":\"2#干熄焦蒸汽发生量因空气导入量偏高、锅炉入口温度偏低而减少13t,经模型计算,建议调整空气导入量,预计可使主蒸汽流量指标升高20m3/h\"," +
            "\"steamHomeIndex\":[[63.2,61.7],[62.8,67.2],[66.1,65.7],[204.6,220.5]]" +
            " }" +
            "}";
    @Override
    public void run(String params) {
@@ -105,39 +85,26 @@
            calendar.set(Calendar.MILLISECOND, 0);
            calendar.set(Calendar.SECOND, 0);
            calendar.set(Calendar.MINUTE, 0);
            int hour = calendar.get(Calendar.HOUR_OF_DAY);
            Date startDate = calendar.getTime();
            calendar.set(Calendar.HOUR_OF_DAY, 0);
            Date endDate = calendar.getTime();
            String clock = "";
            String analyClass = "";
            if (hour >= 8 && hour < 16) {
                calendar.set(Calendar.HOUR_OF_DAY, 0);
                startDate = calendar.getTime();
                calendar.add(Calendar.HOUR_OF_DAY, 8);
                endDate = calendar.getTime();
                clock = DateUtils.format(startDate).concat("-").concat("A");
                analyClass = "甲班";
            } else if (hour >= 16 && hour < 24) {
                calendar.set(Calendar.HOUR_OF_DAY, 8);
                startDate = calendar.getTime();
                calendar.add(Calendar.HOUR_OF_DAY, 8);
                endDate = calendar.getTime();
                clock = DateUtils.format(startDate).concat("-").concat("B");
                analyClass = "乙班";
            } else if (hour >= 0 && hour < 8) {
                calendar.add(Calendar.DAY_OF_YEAR, -1);
                calendar.set(Calendar.HOUR_OF_DAY, 16);
                startDate = calendar.getTime();
                calendar.add(Calendar.HOUR_OF_DAY, 8);
                endDate = calendar.getTime();
                clock = DateUtils.format(startDate).concat("-").concat("B");
                analyClass = "丙班";
            }
            calendar.add(Calendar.DAY_OF_YEAR, -1);
            Date startDate = calendar.getTime();
            String clock = DateUtils.format(startDate);
            // 调用模型
/*            MdkScheduleReqDTO dto = new MdkScheduleReqDTO();
            dto.setScheduleTime(calendar.getTime());
            dto.setScheduleCode(params);
            MdkScheduleRespDTO mdkScheduleRespDTO = mdkApi.doSchedule(dto);
            logger.info(params + "调度方案执行完成," + mdkScheduleRespDTO);
            Map<String, Object> result = mdkScheduleRespDTO.getResult();
            JSONObject jsonObject = new JSONObject(result);
            JSONObject result2 = (JSONObject) JSON.toJSON(jsonObject.get("result"));*/
            JSONObject jsonObject = JSONObject.parseObject(jsonStr);
            JSONObject result = (JSONObject) JSON.toJSON(jsonObject.get("result"));
            if (Objects.isNull(result)) {
                logger.info("模型结果为空");
                return;
@@ -145,17 +112,17 @@
            // 保存报告
            String analyDate = DateUtils.format(startDate);
            String analyContent = result.getString("steamHomeIndexInfo");
            String relId = cokingTraceReportService.save(process, reportName, analyDate, analyClass, clock, analyContent);
            String analyContent = clock + " " + result.getString("steamHomeIndexInfo");
            String relId = cokingTraceReportService.save(process, reportName, analyDate, clock, analyContent);
            // 保存一级分析指标
            saveAnalyInd(relId, process, analyDate, analyClass, analyContent);
            cokingAnalyIndService.saveAnalyInd(relId, process, analyDate, analyContent);
            // 保存优化建议
            saveTraceSuggest(relId, process, clock, result);
            cokingTraceSuggestService.saveTraceSuggest(relId, process, clock, total, SugObj);
            // 保存偏差值
            saveTraceDeviation(relId, process, clock, result);
            cokingTraceDeviationService.saveTraceDeviation(relId, process, clock, result, CommonConstant.COKE_INDEX_CHARTCODE, row, SugObj);
            // 保存溯源指标
            cokingTraceIndService.saveTraceInd(relId, indType, clock);
@@ -168,106 +135,4 @@
    }
    public void saveTraceSuggest(String relId, String process, String clock, JSONObject result) {
        List<CokingTraceSuggestEntity> entityList = new ArrayList<>();
        String steamTotal = result.get("steamTotal").toString();
        if(StringUtils.isNotBlank(steamTotal)){
            CokingTraceSuggestEntity suggestEntity = new CokingTraceSuggestEntity();
            suggestEntity.setRelId(relId);
            suggestEntity.setProcess(process);
            suggestEntity.setSugObj("GXJ");
            suggestEntity.setClock(clock);
            suggestEntity.setContent(steamTotal);
            suggestEntity.setCreateDate(new Date());
            entityList.add(suggestEntity);
        }
        cokingTraceSuggestService.insert(entityList);
    }
    @Transactional
    public void saveTraceDeviation(String relId, String process, String clock, JSONObject result) {
        List<ChartParamDTO> list = mcsApi.getChartParamList(CommonConstant.STEAM_INDEX_CHARTCODE);
        Map<String, String> steamIndexMaps = list.stream().collect(Collectors.toMap(ChartParamDTO::getParamCode, e -> e.getParamName()));
        List<String> coalRowKeys = new ArrayList<>();
        result.forEach((key, value) -> {
            if (StringUtils.isNotBlank(key) && key.contains(steamRow)) {
                coalRowKeys.add(key);
            }
        });
        logger.info("coalRowKeys=" + coalRowKeys);
        List<CokingTraceDeviationEntity> entityList = new ArrayList<>();
        for (String key : coalRowKeys) {
            JSONArray rowArr = JSON.parseArray(result.get(key).toString());
            if (CollectionUtils.isEmpty(rowArr)) {
                logger.info("rowArr is empty");
                continue;
            }
            CokingTraceDeviationEntity entity = new CokingTraceDeviationEntity();
            entity.setRelId(relId);
            entity.setProcess(process);
            entity.setClock(clock);
            entity.setSugObj("GXJ");
            entity.setInd1Name(steamIndexMaps.get(rowArr.getJSONArray(0).get(0).toString()));
            entity.setInd1Value(rowArr.getJSONArray(0).get(1).toString());
            entity.setInd1Unit("");
            entity.setInd2Name(steamIndexMaps.get(rowArr.getJSONArray(1).get(0).toString()));
            entity.setInd2Value(rowArr.getJSONArray(1).get(1).toString());
            entity.setInd2Unit("");
            if (rowArr.size() > 2) {
                entity.setFac1Name(steamIndexMaps.get(rowArr.getJSONArray(2).get(0).toString()));
                entity.setFac1Value(rowArr.getJSONArray(2).get(1).toString());
                entity.setFac1Unit("");
            }
            if (rowArr.size() > 3) {
                entity.setFac2Name(steamIndexMaps.get(rowArr.getJSONArray(3).get(0).toString()));
                entity.setFac2Value(rowArr.getJSONArray(3).get(1).toString());
                entity.setFac2Unit("");
            }
            if (rowArr.size() > 4) {
                entity.setFac3Name(steamIndexMaps.get(rowArr.getJSONArray(4).get(0).toString()));
                entity.setFac3Value(rowArr.getJSONArray(4).get(1).toString());
                entity.setFac3Unit("");
            }
            if (rowArr.size() > 5) {
                entity.setFac4Name(steamIndexMaps.get(rowArr.getJSONArray(5).get(0).toString()));
                entity.setFac4Value(rowArr.getJSONArray(5).get(1).toString());
                entity.setFac4Unit("");
            }
            if (rowArr.size() > 6) {
                entity.setFac5Name(steamIndexMaps.get(rowArr.getJSONArray(6).get(0).toString()));
                entity.setFac5Value(rowArr.getJSONArray(6).get(1).toString());
                entity.setFac5Unit("");
            }
            entityList.add(entity);
        }
        cokingTraceDeviationService.save(entityList);
    }
    public void saveAnalyInd(String relId, String process, String analyDate, String analyClass, String analyContent) {
        if (StringUtils.isBlank(analyContent)) {
            logger.info("analyContent is null");
            return;
        }
        String[] analyContentArr = analyContent.split(";");
        List<CokingAnalyIndEntity> entityList = new ArrayList<>();
        for(int i=0;i<analyContentArr.length;i++){
            CokingAnalyIndEntity analyIndEntity = new CokingAnalyIndEntity();
            analyIndEntity.setRelId(relId);
            analyIndEntity.setAnalyType(process);
            analyIndEntity.setAnalyDate(analyDate);
            analyIndEntity.setAnalyClass(analyClass);
            analyIndEntity.setAnalyContent(analyContentArr[i]);
            analyIndEntity.setSort(i+1);
            entityList.add(analyIndEntity);
        }
        // 清理旧数据
        cokingAnalyIndService.delete(process, analyDate, analyClass);
        cokingAnalyIndService.save(entityList);
    }
}
ansteel-biz/src/main/java/com/iailab/module/ansteel/job/task/RunCokingTraceModelHCTask.java
@@ -1,24 +1,20 @@
package com.iailab.module.ansteel.job.task;
import com.alibaba.fastjson.JSON;
import com.alibaba.fastjson.JSONArray;
import com.alibaba.fastjson.JSONObject;
import com.iailab.framework.common.util.date.DateUtils;
import com.iailab.module.ansteel.coking.entity.*;
import com.iailab.module.ansteel.coking.service.*;
import com.iailab.module.ansteel.common.constant.CommonConstant;
import com.iailab.module.model.api.mcs.McsApi;
import com.iailab.module.model.api.mcs.dto.ChartParamDTO;
import org.apache.commons.lang3.StringUtils;
import com.iailab.module.model.api.mdk.MdkApi;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Component;
import org.springframework.transaction.annotation.Transactional;
import org.springframework.util.CollectionUtils;
import java.util.*;
import java.util.stream.Collectors;
import java.util.Calendar;
import java.util.Date;
import java.util.Objects;
/**
 * 化产工序异常溯源
@@ -52,6 +48,9 @@
    @Autowired
    private McsApi mcsApi;
    @Autowired
    private MdkApi mdkApi;
    private final static String process = "化产工序";
    private final static String reportName = "化产工序异常溯源";
@@ -60,33 +59,23 @@
    private final static String indType = "化产工序异常溯源";
    private final static String chemProdRow = "chemProdRow";
    private final static String row = "chemProdRow";
    private static final HashMap<String, Object> chemProdColoumMap = new HashMap<String, Object>() {{
        put("chemProdFirstColoum0", "一级指标-偏差值");
        put("chemProdFirstColoum1", "二级指标-偏差值");
        put("chemProdFirstColoum2", "影响因素1-偏差值");
    }};
    private static final HashMap<String, Object> historyPointMap = new HashMap<String, Object>() {{
        put("F0000101006", "蒸汽消耗");
        put("F0000101006", "初冷器出口煤气温度");
        put("F0000101006", "洗苯塔后煤气含苯");
        put("F0000101006", "脱硫后H2S含量");
    }};
    private final static String total = "chemProdTotal";
    private static final String jsonStr = "{\n" +
            "\"result\":{\n" +
            "\"chemProdSteam\":[[33836,33925]],  \n" +
            "\"chemProdIndex\":[[352,355],[68,66.3],[82.5,87.6],[50.7,56.5],[73.5,73.1]],\n" +
            "\"chemProdTotal\":\"蒸汽消耗量异常,当前值1342,经模型计算,指标1异常,当前值1342,建议调整指标1至区间[90,110],指标2异常,当前值1342,建议调整指标2至区间[50,80]\",\n" +
            "\"chemProdRow0\":[[0,42],[5,345],[2,41]],\n" + "      " +
            "\"chemProdRow1\":[[5,1342],[7,1342],[9,1342]],\n" +
            "\"chemProdRow2\":[[5,1342],[5,1342],[7,1342]],\n" +
            "\"chemProdHomePage\":[[9,1342],[9,1342]],\n" +
            "\"chemProdHomeIndex\":[[90.4,90.2],[80.3,78],[103,100],[280,270]],\n" +
            "\"chemProdHomeIndexInfo\":\"4月25日甲班:化产蒸汽消耗量异常\",\n" +
            "\"chemProdHomeErr\":\"4月25日化产蒸汽消耗量数据异常(无数据)\"\n" +  " }" + "}";
            "\"chemProdHomePage\":[1782.7,0.8]," +
            "\"chemProdElec\":[794680.52]," +
            "\"chemProdIndex\":[16.3,2.57,0.017,0.745,658731.5]," +
            "\"chemProdRow0\":[[0.0,42.3],[5.0,1342.5],[10.0,122.5]]," +
            "\"chemProdRow1\":[[0.0,42.3],[7.0,12.5],[9.0,17.45]]," +
            "\"chemProdRow2\":[[0.0,42.3],[12.0,23.5],[35.0,54.33]]," +
            "\"chemProdSteam\":[46.3]," +
            "\"chemProdTotal\":\"蒸汽消耗量异常,经模型计算,原因和调整建议如下:电捕绝缘箱温度异常,当前值190,建议调整电捕绝缘箱温度至区间[80,110], 蒸氨塔塔顶温度异常,当前值190,建议调整蒸氨塔塔顶温度至区间[101,103]\"," +
            "\"chemProdHomeIndexInfo\":\"化产蒸汽消耗量异常\""+
            " }" +
            "}";
    @Override
    public void run(String params) {
@@ -96,34 +85,12 @@
            calendar.set(Calendar.MILLISECOND, 0);
            calendar.set(Calendar.SECOND, 0);
            calendar.set(Calendar.MINUTE, 0);
            int hour = calendar.get(Calendar.HOUR_OF_DAY);
            Date startDate = calendar.getTime();
            calendar.set(Calendar.HOUR_OF_DAY, 0);
            Date endDate = calendar.getTime();
            String clock = "";
            String analyClass = "";
            if (hour >= 8 && hour < 16) {
                calendar.set(Calendar.HOUR_OF_DAY, 0);
                startDate = calendar.getTime();
                calendar.add(Calendar.HOUR_OF_DAY, 8);
                endDate = calendar.getTime();
                clock = DateUtils.format(startDate).concat("-").concat("A");
                analyClass = "甲班";
            } else if (hour >= 16 && hour < 24) {
                calendar.set(Calendar.HOUR_OF_DAY, 8);
                startDate = calendar.getTime();
                calendar.add(Calendar.HOUR_OF_DAY, 8);
                endDate = calendar.getTime();
                clock = DateUtils.format(startDate).concat("-").concat("B");
                analyClass = "乙班";
            } else if (hour >= 0 && hour < 8) {
                calendar.add(Calendar.DAY_OF_YEAR, -1);
                calendar.set(Calendar.HOUR_OF_DAY, 16);
                startDate = calendar.getTime();
                calendar.add(Calendar.HOUR_OF_DAY, 8);
                endDate = calendar.getTime();
                clock = DateUtils.format(startDate).concat("-").concat("B");
                analyClass = "丙班";
            }
            calendar.add(Calendar.DAY_OF_YEAR, -1);
            Date startDate = calendar.getTime();
            String clock = DateUtils.format(startDate);
            // 调用模型
            JSONObject jsonObject = JSONObject.parseObject(jsonStr);
@@ -136,17 +103,17 @@
            // 保存报告
            String analyDate = DateUtils.format(startDate);
            String analyContent = result.getString("chemProdHomeIndexInfo");
            String relId = cokingTraceReportService.save(process, reportName, analyDate, analyClass, clock, analyContent);
            String analyContent = clock + " " + result.getString("chemProdHomeIndexInfo");
            String relId = cokingTraceReportService.save(process, reportName, analyDate, clock, analyContent);
            // 保存一级分析指标
            saveAnalyInd(relId, process, analyDate, analyClass, analyContent);
            cokingAnalyIndService.saveAnalyInd(relId, process, analyDate, analyContent);
            // 保存优化建议
            saveTraceSuggest(relId, process, clock, result);
            cokingTraceSuggestService.saveTraceSuggest(relId, process, clock, total, SugObj);
            // 保存偏差值
            saveTraceDeviation(relId, process, clock, result);
            cokingTraceDeviationService.saveTraceDeviation(relId, process, clock, result, CommonConstant.COKE_INDEX_CHARTCODE, row, SugObj);
            // 保存溯源指标
            cokingTraceIndService.saveTraceInd(relId, indType, clock);
@@ -159,107 +126,5 @@
            ex.printStackTrace();
        }
        logger.info("RunCokingTraceModelHCTask运行完成");
    }
    public void saveTraceSuggest(String relId, String process, String clock, JSONObject result) {
        String chemProdTotal = result.get("chemProdTotal").toString();
        if (StringUtils.isBlank(chemProdTotal)) {
            logger.info("coalPrepElecTotal1 is null");
            return;
        }
        CokingTraceSuggestEntity suggestEntity = new CokingTraceSuggestEntity();
        suggestEntity.setRelId(relId);
        suggestEntity.setProcess(process);
        suggestEntity.setSugObj(SugObj);
        suggestEntity.setClock(clock);
        suggestEntity.setContent(chemProdTotal);
        suggestEntity.setCreateDate(new Date());
        cokingTraceSuggestService.save(suggestEntity);
    }
    @Transactional
    public void saveTraceDeviation(String relId, String process, String clock, JSONObject result) {
        List<ChartParamDTO> list = mcsApi.getChartParamList(CommonConstant.CHEMPROD_INDEX_CHARTCODE);
        Map<String, String> steamIndexMaps = list.stream().collect(Collectors.toMap(ChartParamDTO::getParamCode, e -> e.getParamName()));
        List<String> coalRowKeys = new ArrayList<>();
        result.forEach((key, value) -> {
            if (StringUtils.isNotBlank(key) && key.contains(chemProdRow)) {
                coalRowKeys.add(key);
            }
        });
        List<CokingTraceDeviationEntity> entityList = new ArrayList<>();
        for (String key : coalRowKeys) {
            JSONArray rowArr = JSON.parseArray(result.get(key).toString());
            if (CollectionUtils.isEmpty(rowArr)) {
                continue;
            }
            CokingTraceDeviationEntity entity = new CokingTraceDeviationEntity();
            entity.setRelId(relId);
            entity.setProcess(process);
            entity.setClock(clock);
            entity.setSugObj(SugObj);
            entity.setInd1Name(steamIndexMaps.get(rowArr.getJSONArray(0).get(0).toString()));
            entity.setInd1Value(rowArr.getJSONArray(0).get(1).toString());
            entity.setInd1Unit("");
            entity.setInd2Name(steamIndexMaps.get(rowArr.getJSONArray(1).get(0).toString()));
            entity.setInd2Value(rowArr.getJSONArray(1).get(1).toString());
            entity.setInd2Unit("");
            if (rowArr.size() > 2) {
                entity.setFac1Name(steamIndexMaps.get(rowArr.getJSONArray(2).get(0).toString()));
                entity.setFac1Value(rowArr.getJSONArray(2).get(1).toString());
                entity.setFac1Unit("");
            }
            if (rowArr.size() > 3) {
                entity.setFac2Name(steamIndexMaps.get(rowArr.getJSONArray(3).get(0).toString()));
                entity.setFac2Value(rowArr.getJSONArray(3).get(1).toString());
                entity.setFac2Unit("");
            }
            if (rowArr.size() > 4) {
                entity.setFac3Name(steamIndexMaps.get(rowArr.getJSONArray(4).get(0).toString()));
                entity.setFac3Value(rowArr.getJSONArray(4).get(1).toString());
                entity.setFac3Unit("");
            }
            if (rowArr.size() > 5) {
                entity.setFac4Name(steamIndexMaps.get(rowArr.getJSONArray(5).get(0).toString()));
                entity.setFac4Value(rowArr.getJSONArray(5).get(1).toString());
                entity.setFac4Unit("");
            }
            if (rowArr.size() > 6) {
                entity.setFac5Name(steamIndexMaps.get(rowArr.getJSONArray(6).get(0).toString()));
                entity.setFac5Value(rowArr.getJSONArray(6).get(1).toString());
                entity.setFac5Unit("");
            }
            entityList.add(entity);
        }
        cokingTraceDeviationService.save(entityList);
    }
    public void saveAnalyInd(String relId, String process, String analyDate, String analyClass, String analyContent) {
        if (StringUtils.isBlank(analyContent)) {
            logger.info("analyContent is null");
            return;
        }
        String[] analyContentArr = analyContent.split(";");
        List<CokingAnalyIndEntity> entityList = new ArrayList<>();
        for (int i = 0; i < analyContentArr.length; i++) {
            CokingAnalyIndEntity analyIndEntity = new CokingAnalyIndEntity();
            analyIndEntity.setRelId(relId);
            analyIndEntity.setAnalyType(process);
            analyIndEntity.setAnalyDate(analyDate);
            analyIndEntity.setAnalyClass(analyClass);
            analyIndEntity.setAnalyContent(analyContentArr[i]);
            analyIndEntity.setSort(i + 1);
            entityList.add(analyIndEntity);
        }
        // 清理旧数据
        cokingAnalyIndService.delete(process, analyDate, analyClass);
        cokingAnalyIndService.save(entityList);
    }
}
ansteel-biz/src/main/java/com/iailab/module/ansteel/job/task/RunCokingTraceModelLJTask.java
@@ -1,26 +1,19 @@
package com.iailab.module.ansteel.job.task;
import com.alibaba.fastjson.JSON;
import com.alibaba.fastjson.JSONArray;
import com.alibaba.fastjson.JSONObject;
import com.iailab.framework.common.util.date.DateUtils;
import com.iailab.module.ansteel.coking.entity.CokingAnalyIndEntity;
import com.iailab.module.ansteel.coking.entity.CokingTraceDeviationEntity;
import com.iailab.module.ansteel.coking.entity.CokingTraceSuggestEntity;
import com.iailab.module.ansteel.coking.service.*;
import com.iailab.module.ansteel.common.constant.CommonConstant;
import com.iailab.module.model.api.mcs.McsApi;
import com.iailab.module.model.api.mcs.dto.ChartParamDTO;
import org.apache.commons.lang3.StringUtils;
import com.iailab.module.model.api.mdk.MdkApi;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Component;
import org.springframework.transaction.annotation.Transactional;
import org.springframework.util.CollectionUtils;
import java.util.*;
import java.util.stream.Collectors;
import java.util.Calendar;
import java.util.Date;
import java.util.Objects;
/**
 * 炼焦工序-异常溯源
@@ -52,7 +45,7 @@
    private CokingTraceChartService cokingTraceChartService;
    @Autowired
    private McsApi mcsApi;
    private MdkApi mdkApi;
    private final static String process = "炼焦工序";
@@ -62,38 +55,27 @@
    private final static String indType = "炼焦工序异常溯源";
    private final static String cokeRow = "cokeRow";
    private final static String row = "cokeRow";
    private static final HashMap<String, Object> cokeColoumMap = new HashMap<String, Object>() {{
        put("cokeColoum0", "一级指标-偏差值");
        put("cokeColoum1", "二级指标-偏差值");
        put("cokeColoum2", "影响因素1-偏差值");
        put("cokeColoum3", "影响因素2-偏差值");
        put("cokeColoum4", "影响因素3-偏差值");
        put("cokeColoum5", "影响因素n-偏差值");
    }};
    private final static String total = "cokeTotal";
    private static final HashMap<String, Object> historyPointMap = new HashMap<String, Object>() {{
        put("F0000101009", "荒煤气发生");
        put("F0000101009", "耗热量");
    }};
    private static final String jsonStr = "{\n" + "    " +
            "\"result\": {\n" + "      " +
            "\"cokeCOG\":[100.5,99.8],\n" + "      " +
            "\"cokeHeat\":[3.7,3.8],\n" + "      " +
            "\"cokeIndex\":[[0.8,0.7],[608,608],[1440,1460],[1346,1293],[0.8,0.7],[1372,1293]],\n" + "      " +
            "\"cokeTotal\":\"炼焦吨焦耗热量因煤气流量偏高、煤气水分偏低而增加23,经模型计算,延建议调整煤气流量,预计可使吨焦耗热量指标降低17\",\n" + "      " +
            "\"cokeRow0\":[[0,13],[0,42],[0,34]],\n" + "      " +
            "\"cokeRow1\":[[13,12],[12,34],[24,42]],\n" + "     " +
            "\"cokeRow2\":[[27,45],[58,42],[70,31]],\n" + "      " +
            "\"cokeRow3\":[[18,56],[10,89],[15,21]],\n" + "      " +
            "\"cokeRow4\":[[19,13],[20,51],[17,34]],\n" + "      " +
            "\"cokeRow5\":[[47,33],[31,12],[22,13]],\n" + "      " +
            "\"cokeHomePage\":[[202,42],[203,13],[204,45],[205,34],[206,17]],\n" + "      " +
            "\"cokeHomeIndex\":[[90.4,90.2],[80.3,78],[103,100],[280,270]],\n" + "      " +
            "\"cokeHomeIndexInfo\":\"4月25日甲班:吨焦耗热量异常\",\n" + "      " +
            "\"cokeHomeErr\":\"4月25日煤气预热器前数据异常(无数据)\"\n" + "    " + "}\n" + "}";
    private static final String jsonStr = "{\n" +
            "\"result\": {\n" +
            "\"cokeElec\":[583562.4]," +
            "\"cokeHeat1\":[130820.4,136710.3]," +
            "\"cokeRow0\":[[0.0,13.6],[2.0,10.5],[69.0,34.6]]," +
            "\"cokeIndex\":[[0.0149,0.0148],[23.6,24.5],[1350.2,1423.5],[1.21,1.25],[0.28],[103542.3,135238.5],[104668.63,137826.5],[155678.2]]," +
            "\"cokeRow1\":[[0.0,12.51],[81.0,34.3],[69.0,42.3],[86.0,56.4],[92.0,89.4]]," +
            "\"cokeRow2\":[[0.0,45.3],[9.0,42.5],[81.0,31.2],[88.0,16.3]]," +
            "\"cokeHeat2\":[135220.3,134720.3]," +
            "\"cokeCOG2\":[64525.8,64824.2]," +
            "\"cokeHomeIndex\":[[90.4,90.2],[80.3,78.5],[103.6,100.3],[280.9,270.4]]," +
            "\"cokeHomeIndexInfo\":\"吨焦耗热量异常\"," +
            "\"cokeCOG1\":[64435.5,64532.6]," +
            "\"cokeHomePage\":[[124439.4,124428.4],[320.6],[224.3],[248305.4],[124436.2],[3.96],[0.43]]," +
            "\"cokeTotal\":\"炼焦吨焦耗热量因煤气流量偏高、煤气水分偏低而增加23,经模型计算,延建议调整煤气流量,预计可使吨焦耗热量指标降低17\"" +
            " }" +
            "}";
    @Override
    public void run(String params) {
@@ -103,34 +85,12 @@
            calendar.set(Calendar.MILLISECOND, 0);
            calendar.set(Calendar.SECOND, 0);
            calendar.set(Calendar.MINUTE, 0);
            int hour = calendar.get(Calendar.HOUR_OF_DAY);
            Date startDate = calendar.getTime();
            calendar.set(Calendar.HOUR_OF_DAY, 0);
            Date endDate = calendar.getTime();
            String clock = "";
            String analyClass = "";
            if (hour >= 8 && hour < 16) {
                calendar.set(Calendar.HOUR_OF_DAY, 0);
                startDate = calendar.getTime();
                calendar.add(Calendar.HOUR_OF_DAY, 8);
                endDate = calendar.getTime();
                clock = DateUtils.format(startDate).concat("-").concat("A");
                analyClass = "甲班";
            } else if (hour >= 16 && hour < 24) {
                calendar.set(Calendar.HOUR_OF_DAY, 8);
                startDate = calendar.getTime();
                calendar.add(Calendar.HOUR_OF_DAY, 8);
                endDate = calendar.getTime();
                clock = DateUtils.format(startDate).concat("-").concat("B");
                analyClass = "乙班";
            } else if (hour >= 0 && hour < 8) {
                calendar.add(Calendar.DAY_OF_YEAR, -1);
                calendar.set(Calendar.HOUR_OF_DAY, 16);
                startDate = calendar.getTime();
                calendar.add(Calendar.HOUR_OF_DAY, 8);
                endDate = calendar.getTime();
                clock = DateUtils.format(startDate).concat("-").concat("B");
                analyClass = "丙班";
            }
            calendar.add(Calendar.DAY_OF_YEAR, -1);
            Date startDate = calendar.getTime();
            String clock = DateUtils.format(startDate);
            // 调用模型
            JSONObject jsonObject = JSONObject.parseObject(jsonStr);
@@ -143,17 +103,17 @@
            // 保存报告
            String analyDate = DateUtils.format(startDate);
            String analyContent = result.getString("cokeHomeIndexInfo");
            String relId = cokingTraceReportService.save(process, reportName, analyDate, analyClass, clock, analyContent);
            String analyContent = clock + " " + result.getString("cokeHomeIndexInfo");
            String relId = cokingTraceReportService.save(process, reportName, analyDate, clock, analyContent);
            // 保存一级分析指标
            saveAnalyInd(relId, process, analyDate, analyClass, analyContent);
            cokingAnalyIndService.saveAnalyInd(relId, process, analyDate, analyContent);
            // 保存优化建议
            saveTraceSuggest(relId, process, clock, result);
            cokingTraceSuggestService.saveTraceSuggest(relId, process, clock, total, SugObj);
            // 保存偏差值
            saveTraceDeviation(relId, process, clock, result);
            cokingTraceDeviationService.saveTraceDeviation(relId, process, clock, result, CommonConstant.COKE_INDEX_CHARTCODE, row, SugObj);
            // 保存溯源指标
            cokingTraceIndService.saveTraceInd(relId, indType, clock);
@@ -166,107 +126,5 @@
            ex.printStackTrace();
        }
        logger.info("RunCokingTraceModelLJTask运行完成");
    }
    public void saveTraceSuggest(String relId, String process, String clock, JSONObject result) {
        String cokeTotal = result.get("cokeTotal").toString();
        if (StringUtils.isBlank(cokeTotal)) {
            logger.info("cokeTotal is null");
            return;
        }
        CokingTraceSuggestEntity suggestEntity = new CokingTraceSuggestEntity();
        suggestEntity.setRelId(relId);
        suggestEntity.setProcess(process);
        suggestEntity.setSugObj(SugObj);
        suggestEntity.setClock(clock);
        suggestEntity.setContent(cokeTotal);
        suggestEntity.setCreateDate(new Date());
        cokingTraceSuggestService.save(suggestEntity);
    }
    @Transactional
    public void saveTraceDeviation(String relId, String process, String clock, JSONObject result) {
        List<ChartParamDTO> list = mcsApi.getChartParamList(CommonConstant.COKE_INDEX_CHARTCODE);
        Map<String, String> steamIndexMaps = list.stream().collect(Collectors.toMap(ChartParamDTO::getParamCode, e -> e.getParamName()));
        List<String> coalRowKeys = new ArrayList<>();
        result.forEach((key, value) -> {
            if (StringUtils.isNotBlank(key) && key.contains(cokeRow)) {
                coalRowKeys.add(key);
            }
        });
        List<CokingTraceDeviationEntity> entityList = new ArrayList<>();
        for (String key : coalRowKeys) {
            JSONArray rowArr = JSON.parseArray(result.get(key).toString());
            if (CollectionUtils.isEmpty(rowArr)) {
                continue;
            }
            CokingTraceDeviationEntity entity = new CokingTraceDeviationEntity();
            entity.setRelId(relId);
            entity.setProcess(process);
            entity.setClock(clock);
            entity.setSugObj(SugObj);
            entity.setInd1Name(steamIndexMaps.get(rowArr.getJSONArray(0).get(0).toString()));
            entity.setInd1Value(rowArr.getJSONArray(0).get(1).toString());
            entity.setInd1Unit("");
            entity.setInd2Name(steamIndexMaps.get(rowArr.getJSONArray(1).get(0).toString()));
            entity.setInd2Value(rowArr.getJSONArray(1).get(1).toString());
            entity.setInd2Unit("");
            if (rowArr.size() > 2) {
                entity.setFac1Name(steamIndexMaps.get(rowArr.getJSONArray(2).get(0).toString()));
                entity.setFac1Value(rowArr.getJSONArray(2).get(1).toString());
                entity.setFac1Unit("");
            }
            if (rowArr.size() > 3) {
                entity.setFac2Name(steamIndexMaps.get(rowArr.getJSONArray(3).get(0).toString()));
                entity.setFac2Value(rowArr.getJSONArray(3).get(1).toString());
                entity.setFac2Unit("");
            }
            if (rowArr.size() > 4) {
                entity.setFac3Name(steamIndexMaps.get(rowArr.getJSONArray(4).get(0).toString()));
                entity.setFac3Value(rowArr.getJSONArray(4).get(1).toString());
                entity.setFac3Unit("");
            }
            if (rowArr.size() > 5) {
                entity.setFac4Name(steamIndexMaps.get(rowArr.getJSONArray(5).get(0).toString()));
                entity.setFac4Value(rowArr.getJSONArray(5).get(1).toString());
                entity.setFac4Unit("");
            }
            if (rowArr.size() > 6) {
                entity.setFac5Name(steamIndexMaps.get(rowArr.getJSONArray(6).get(0).toString()));
                entity.setFac5Value(rowArr.getJSONArray(6).get(1).toString());
                entity.setFac5Unit("");
            }
            entityList.add(entity);
        }
        cokingTraceDeviationService.save(entityList);
    }
    public void saveAnalyInd(String relId, String process, String analyDate, String analyClass, String analyContent) {
        if (StringUtils.isBlank(analyContent)) {
            logger.info("analyContent is null");
            return;
        }
        String[] analyContentArr = analyContent.split(";");
        List<CokingAnalyIndEntity> entityList = new ArrayList<>();
        for (int i = 0; i < analyContentArr.length; i++) {
            CokingAnalyIndEntity analyIndEntity = new CokingAnalyIndEntity();
            analyIndEntity.setRelId(relId);
            analyIndEntity.setAnalyType(process);
            analyIndEntity.setAnalyDate(analyDate);
            analyIndEntity.setAnalyClass(analyClass);
            analyIndEntity.setAnalyContent(analyContentArr[i]);
            analyIndEntity.setSort(i + 1);
            entityList.add(analyIndEntity);
        }
        // 清理旧数据
        cokingAnalyIndService.delete(process, analyDate, analyClass);
        cokingAnalyIndService.save(entityList);
    }
}
ansteel-biz/src/main/java/com/iailab/module/ansteel/job/task/RunPeakValleyFlatTask.java
对比新文件
@@ -0,0 +1,197 @@
package com.iailab.module.ansteel.job.task;
import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper;
import com.iailab.module.ansteel.power.dao.PeakValleyFlatDao;
import com.iailab.module.ansteel.power.entity.PeakValleyFlatEntity;
import com.iailab.module.data.api.point.DataPointApi;
import com.iailab.module.data.api.point.dto.ApiPointValueDTO;
import com.iailab.module.data.api.point.dto.ApiPointValueQueryDTO;
import com.iailab.module.data.api.point.dto.ApiPointValueWriteDTO;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Component;
import java.util.*;
import java.util.List;
import java.util.stream.Collectors;
/**
 * 峰谷平累计量计算
 *
 * @author DongYukun
 * @Description
 * @createTime 2025年5月5日
 */
@Component("runPeakValleyFlatTask")
public class RunPeakValleyFlatTask implements ITask {
    private Logger logger = LoggerFactory.getLogger(getClass());
    @Autowired
    private PeakValleyFlatDao peakValleyFlatDao;
    @Autowired
    private DataPointApi dataPointApi;
    @Override
    public void run(String params) {
        try {
            Calendar calendar = Calendar.getInstance();
            //查询峰谷平配置列表
            List<PeakValleyFlatEntity> list = peakValleyFlatDao.selectList(new QueryWrapper<>());
            //根据测点分组
            Map<String, List<PeakValleyFlatEntity>> groupedByPointNo = list.stream()
                    .collect(Collectors.groupingBy(PeakValleyFlatEntity::getPowerNo));
            groupedByPointNo.entrySet().stream().forEach(entry -> {
                //计算昨日的累积量
                double value = getSumValue(entry.getValue(), 1, calendar);
                //计算昨日总电耗
                calendar.set(Calendar.MILLISECOND, 0);
                calendar.set(Calendar.MINUTE, 0);
                calendar.set(Calendar.HOUR_OF_DAY, 0);
                Date endTime = calendar.getTime();
                calendar.add(Calendar.DAY_OF_YEAR, -1);
                Date startTime = calendar.getTime();
                double totalValue = getSumValueTotal(entry.getValue().get(0).getPowerNo(), startTime,endTime);
                //下发昨日占比
                ApiPointValueWriteDTO dto = new ApiPointValueWriteDTO();
                dto.setPointNo(entry.getValue().get(0).getPointNo());
                dto.setValue(value/totalValue*100);
                dataPointApi.writePointRealValue(dto);
                if(entry.getValue().get(0).getPointNoMonth()!=null){
                    //计算前三十日累积量
                    double value30 = 0;
                    for (int i = 1; i < 31; i++) {
                        //计算前三十日累积量
                        value30 = value30 + getSumValue(entry.getValue(), i, calendar);
                    }
                    //计算前三十日总电耗
                    calendar.set(Calendar.MILLISECOND, 0);
                    calendar.set(Calendar.MINUTE, 0);
                    calendar.set(Calendar.HOUR_OF_DAY, 0);
                    calendar.add(Calendar.DAY_OF_YEAR, -30);
                    Date startTimeMonth = calendar.getTime();
                    double totalValueMonth = getSumValueTotal(entry.getValue().get(0).getPowerNo(), startTimeMonth,endTime);
                    //下发前三十日占比
                    ApiPointValueWriteDTO monthDto = new ApiPointValueWriteDTO();
                    monthDto.setPointNo(entry.getValue().get(0).getPointNoMonth());
                    monthDto.setValue(value30/totalValueMonth*100);
                    dataPointApi.writePointRealValue(monthDto);
                }
            });
        } catch (Exception ex) {
            logger.error("runPeakValleyFlatTask运行异常");
            ex.printStackTrace();
        }
    }
    private Date getTime(String timeStr, int ago, Calendar calendar) {
        String[] timeSplit = timeStr.split(":");
        if (timeSplit.length != 2) {
            throw new IllegalArgumentException("时间配置格式不合法");
        }
        //根据配置获取startTime、endTime
        calendar.set(Calendar.MILLISECOND, 0);
        calendar.set(Calendar.HOUR_OF_DAY, Integer.parseInt(timeSplit[0]));
        calendar.set(Calendar.MINUTE, Integer.parseInt(timeSplit[1]));
        calendar.add(Calendar.DAY_OF_YEAR, -ago);
        return calendar.getTime();
    }
    private List<ApiPointValueDTO> fillMissingData(List<ApiPointValueDTO> valueList,
                                                   Date startTime,
                                                   Date endTime) {
        if (valueList == null || valueList.isEmpty()) {
            return new ArrayList<>();
        }
        // 过滤掉null元素
        valueList = valueList.stream().filter(Objects::nonNull).collect(Collectors.toList());
        if (valueList.isEmpty()) {
            return new ArrayList<>();
        }
        List<ApiPointValueDTO> filledList = new ArrayList<>();
        ApiPointValueDTO lastValidData = null;
        long totalMinutes = (endTime.getTime() - startTime.getTime()) / (60 * 1000);
        for (int i = 0; i <= totalMinutes; i++) {
            Date currentTime = new Date(startTime.getTime() + i * 60 * 1000);
            ApiPointValueDTO currentData = findDataForTime(valueList, currentTime);
            if (currentData != null) {
                filledList.add(currentData);
                lastValidData = currentData;
            } else if (lastValidData != null) {
                filledList.add(new ApiPointValueDTO()
                        .setT(currentTime)
                        .setV(lastValidData.getV()));
            } else {
                // 使用第一个非null数据的值
                filledList.add(new ApiPointValueDTO()
                        .setT(currentTime)
                        .setV(valueList.get(0).getV()));
            }
        }
        return filledList;
    }
    private ApiPointValueDTO findDataForTime(List<ApiPointValueDTO> valueList, Date time) {
        long targetMinute = time.getTime() / (60 * 1000);
        return valueList.stream()
                .filter(Objects::nonNull)
                .filter(d -> d.getT() != null)
                .filter(d -> d.getT().getTime() / (60 * 1000) == targetMinute)
                .findFirst()
                .orElse(null);
    }
    private double getSumValue(List<PeakValleyFlatEntity> list, int ago, Calendar calendar) {
        double value = 0;
        for (int i = 0; i < list.size(); i++) {
            PeakValleyFlatEntity entity = list.get(i);
            ApiPointValueQueryDTO dto = new ApiPointValueQueryDTO();
            Date startTime = getTime(entity.getStartTime(), ago, calendar);
            Date endTime = getTime(entity.getEndTime(), ago, calendar);
            dto.setPointNo(entity.getPowerNo());
            dto.setStart(startTime);
            dto.setEnd(endTime);
            //查找数据
            List<ApiPointValueDTO> valueList = dataPointApi.queryPointHistoryValue(dto);
            //补全数据
            valueList = fillMissingData(valueList, startTime, endTime);
            //累加
            double sum = valueList.stream().mapToDouble(ApiPointValueDTO::getV).sum();
            value = value + sum;
        }
        return value / 60;
    }
    private double getSumValueTotal(String pointNo, Date startTime, Date endTime) {
        ApiPointValueQueryDTO dto = new ApiPointValueQueryDTO();
        dto.setPointNo(pointNo);
        dto.setStart(startTime);
        dto.setEnd(endTime);
        //查找数据
        List<ApiPointValueDTO> valueList = dataPointApi.queryPointHistoryValue(dto);
        //补全数据
        valueList = fillMissingData(valueList, startTime, endTime);
        //累加
        return valueList.stream().mapToDouble(ApiPointValueDTO::getV).sum()/ 60;
    }
}
ansteel-biz/src/main/java/com/iailab/module/ansteel/job/task/RunScheduleModuleTask.java
@@ -58,6 +58,7 @@
                    suggestDto.setTitle("日平衡建议");
                    suggestDto.setContent(entry.getValue().toString());
                    suggestDto.setScheduleObj("GAS");
                    suggestDto.setScheduleTime(dto.getScheduleTime());
                    suggestDto.setCreateTime(calendar.getTime());
                    if (mcsApi.createScheduleSuggest(suggestDto)) {
                        logger.info("日平衡建议{" + entry.getValue().toString() + "}保存成功");
@@ -73,6 +74,7 @@
                suggestDto.setTitle("转炉实时调度建议");
                suggestDto.setContent(LDG.toString());
                suggestDto.setScheduleObj("LDG");
                suggestDto.setScheduleTime(dto.getScheduleTime());
                suggestDto.setCreateTime(calendar.getTime());
                if (mcsApi.createScheduleSuggest(suggestDto)) {
                    logger.info("转炉实时调度建议{" + LDG + "}保存成功");
@@ -87,6 +89,7 @@
                suggestDto.setTitle("焦炉实时调度建议");
                suggestDto.setContent(COG.toString());
                suggestDto.setScheduleObj("COG");
                suggestDto.setScheduleTime(dto.getScheduleTime());
                suggestDto.setCreateTime(calendar.getTime());
                if (mcsApi.createScheduleSuggest(suggestDto)) {
                    logger.info("焦炉实时调度建议{" + COG + "}保存成功");
@@ -101,6 +104,7 @@
                suggestDto.setTitle("高炉实时调度建议");
                suggestDto.setContent(BFG.toString());
                suggestDto.setScheduleObj("BFG");
                suggestDto.setScheduleTime(dto.getScheduleTime());
                suggestDto.setCreateTime(calendar.getTime());
                if (mcsApi.createScheduleSuggest(suggestDto)) {
                    logger.info("高炉实时调度建议{" + BFG + "}保存成功");
ansteel-biz/src/main/java/com/iailab/module/ansteel/power/dao/PeakValleyFlatDao.java
对比新文件
@@ -0,0 +1,16 @@
package com.iailab.module.ansteel.power.dao;
import com.iailab.framework.common.dao.BaseDao;
import com.iailab.module.ansteel.power.entity.PeakValleyFlatEntity;
import com.iailab.module.ansteel.power.entity.PowerDemandEntity;
import org.apache.ibatis.annotations.Mapper;
/**
 * @author dyk
 * @Description
 * @createTime 2025年05月05日
 */
@Mapper
public interface PeakValleyFlatDao extends BaseDao<PeakValleyFlatEntity> {
}
ansteel-biz/src/main/java/com/iailab/module/ansteel/power/entity/PeakValleyFlatEntity.java
对比新文件
@@ -0,0 +1,59 @@
package com.iailab.module.ansteel.power.entity;
import com.baomidou.mybatisplus.annotation.TableId;
import com.baomidou.mybatisplus.annotation.TableName;
import lombok.Data;
import java.io.Serializable;
import java.util.Date;
/**
 * 峰谷平累计量计算
 *
 * @author DongYukun
 * @Description
 * @createTime 2025年5月5日
 */
@Data
@TableName("t_peak_valley_flat")
public class PeakValleyFlatEntity implements Serializable {
    private static final long serialVersionUID = 1L;
    /**
     * id
     */
    @TableId
    private String id;
    /**
     * 名称
     */
    private String name;
    /**
     * 类型(peak/vallay/flat)
     */
    private String type;
    /**
     * 下发测点编码
     */
    private String pointNo;
    /**
     * 下发测点编码
     */
    private String pointNoMonth;
    /**
     * 功率测点编码
     */
    private String powerNo;
    /**
     * 开始时间
     */
    private String startTime;
    /**
     * 结束时间
     */
    private String endTime;
    /**
     * 创建时间
     */
    private Date createTime;
}
ansteel-biz/src/main/resources/application-dev.yaml
@@ -43,6 +43,11 @@
          url: jdbc:mysql://127.0.0.1:3306/iailab_fast_tenant_ansteel?useSSL=false&serverTimezone=Asia/Shanghai&allowPublicKeyRetrieval=true&nullCatalogMeansCurrent=true
          username: root
          password: 123456
  redis:
    host: 127.0.0.1
    port: 6379
    database: 0
    password: 123456
  cloud:
    nacos:
      server-addr: localhost:8848 # Nacos 服务器地址
@@ -75,5 +80,5 @@
    client-id: ansteel #租户OAuth2客户端id
    client-secret: q3vY7K9PmFjW1xLbN6rTtZz2cV4B5sD0 #租户OAuth2客户端密钥
    username: ansteel
    password: xY7^zW4.vU
    password: 123456
ansteel-biz/src/main/resources/application.yaml
@@ -178,6 +178,7 @@
      - t_power_demand
      - t_power_adjusted_factor
      - t_power_net_dropdown
      - t_peak_valley_flat
      - t_coking_overview_ind
  swagger:
    title: 鞍钢鲅鱼圈能源管控系统
doc/鞍钢数据接口文档20250321.doc
Binary files differ
doc/鞍钢数据接口文档20250321.pdf
Binary files differ
doc/鞍钢数据接口文档20250328.doc
Binary files differ
doc/鞍钢数据接口文档20250328.pdf
Binary files differ
doc/鞍钢数据接口文档_master.doc
Binary files differ