定时任务修改

 ansteel-biz/src/main/java/com/iailab/module/ansteel/job/task/RunCokingTraceModelBMTask.java

@@ -11,6 +11,7 @@
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 com.iailab.module.model.api.mdk.MdkApi;
import org.apache.commons.lang3.StringUtils;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
@@ -19,6 +20,7 @@
import org.springframework.transaction.annotation.Transactional;
import org.springframework.util.CollectionUtils;

import java.math.BigDecimal;
import java.util.*;
import java.util.stream.Collectors;

@@ -57,6 +59,9 @@
    @Autowired
    private McsApi mcsApi;

    @Autowired
    private MdkApi mdkApi;

    private final static String process = "备煤工序";

    private final static String reportName = "备煤工序异常溯源";
@@ -67,29 +72,20 @@

    private final static String coalRow = "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 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\":\"2025-04-28 甲班 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) {
@@ -129,6 +125,16 @@
            }

            // 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"));

@@ -139,7 +145,7 @@

            // 保存报告
            String analyDate = DateUtils.format(startDate);
            String analyContent = result.getString("coalIndexInfo");
            String analyContent = result.getString("coalHomeIndexInfo");
            String relId = cokingTraceReportService.save(process, reportName, analyDate, analyClass, clock, analyContent);

            // 保存一级分析指标
@@ -206,36 +212,36 @@
            entity.setClock(clock);
            entity.setSugObj(SugObj);

            entity.setInd1Name(steamIndexMaps.get(rowArr.getJSONArray(0).get(0).toString()));
            entity.setInd1Name(steamIndexMaps.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(steamIndexMaps.get(rowArr.getJSONArray(1).get(0).toString()));
            entity.setInd2Name(steamIndexMaps.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(steamIndexMaps.get(rowArr.getJSONArray(2).get(0).toString()));
                entity.setFac1Name(steamIndexMaps.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(steamIndexMaps.get(rowArr.getJSONArray(3).get(0).toString()));
                entity.setFac2Name(steamIndexMaps.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(steamIndexMaps.get(rowArr.getJSONArray(4).get(0).toString()));
                entity.setFac3Name(steamIndexMaps.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(steamIndexMaps.get(rowArr.getJSONArray(5).get(0).toString()));
                entity.setFac4Name(steamIndexMaps.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(steamIndexMaps.get(rowArr.getJSONArray(6).get(0).toString()));
                entity.setFac5Name(steamIndexMaps.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("");
            }

 ansteel-biz/src/main/java/com/iailab/module/ansteel/job/task/RunCokingTraceModelGXJTask.java

@@ -11,6 +11,7 @@
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 com.iailab.module.model.api.mdk.MdkApi;
import org.apache.commons.lang3.StringUtils;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
@@ -19,6 +20,7 @@
import org.springframework.transaction.annotation.Transactional;
import org.springframework.util.CollectionUtils;

import java.math.BigDecimal;
import java.util.*;
import java.util.stream.Collectors;

@@ -52,6 +54,9 @@
    @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";
@@ -60,42 +65,23 @@

    private final static String steamRow = "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 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）\"}}";
            " \"steamProd\":[[0.038,0.036],[0.035,0.036],[0.037,0.034]]," +
            "\"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\":\"2025-04-28 甲班 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) {
@@ -107,37 +93,39 @@
            calendar.set(Calendar.MINUTE, 0);
            int hour = calendar.get(Calendar.HOUR_OF_DAY);
            Date startDate = calendar.getTime();
            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";
            }

            // 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;
@@ -170,7 +158,7 @@

    public void saveTraceSuggest(String relId, String process, String clock, JSONObject result) {
        List<CokingTraceSuggestEntity> entityList = new ArrayList<>();
        String steamTotal = result.get("steamTotal").toString();
        String steamTotal = result.get("steamTotal1").toString();
        if(StringUtils.isNotBlank(steamTotal)){
            CokingTraceSuggestEntity suggestEntity = new CokingTraceSuggestEntity();
            suggestEntity.setRelId(relId);
@@ -208,38 +196,38 @@
            entity.setRelId(relId);
            entity.setProcess(process);
            entity.setClock(clock);
            entity.setSugObj("GXJ");
            entity.setSugObj(SugObj);

            entity.setInd1Name(steamIndexMaps.get(rowArr.getJSONArray(0).get(0).toString()));
            entity.setInd1Name(steamIndexMaps.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(steamIndexMaps.get(rowArr.getJSONArray(1).get(0).toString()));
            entity.setInd2Name(steamIndexMaps.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(steamIndexMaps.get(rowArr.getJSONArray(2).get(0).toString()));
                entity.setFac1Name(steamIndexMaps.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(steamIndexMaps.get(rowArr.getJSONArray(3).get(0).toString()));
                entity.setFac2Name(steamIndexMaps.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(steamIndexMaps.get(rowArr.getJSONArray(4).get(0).toString()));
                entity.setFac3Name(steamIndexMaps.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(steamIndexMaps.get(rowArr.getJSONArray(5).get(0).toString()));
                entity.setFac4Name(steamIndexMaps.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(steamIndexMaps.get(rowArr.getJSONArray(6).get(0).toString()));
                entity.setFac5Name(steamIndexMaps.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("");
            }

 ansteel-biz/src/main/java/com/iailab/module/ansteel/job/task/RunCokingTraceModelHCTask.java

@@ -4,11 +4,14 @@
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.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 com.iailab.module.model.api.mdk.MdkApi;
import org.apache.commons.lang3.StringUtils;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
@@ -17,6 +20,7 @@
import org.springframework.transaction.annotation.Transactional;
import org.springframework.util.CollectionUtils;

import java.math.BigDecimal;
import java.util.*;
import java.util.stream.Collectors;

@@ -52,6 +56,9 @@
    @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";
@@ -62,31 +69,19 @@

    private final static String chemProdRow = "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 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\":\"2025-04-28 甲班 化产蒸汽消耗量异常\""+
            " }" +
            "}";

    @Override
    public void run(String params) {
@@ -202,36 +197,36 @@
            entity.setClock(clock);
            entity.setSugObj(SugObj);

            entity.setInd1Name(steamIndexMaps.get(rowArr.getJSONArray(0).get(0).toString()));
            entity.setInd1Name(steamIndexMaps.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(steamIndexMaps.get(rowArr.getJSONArray(1).get(0).toString()));
            entity.setInd2Name(steamIndexMaps.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(steamIndexMaps.get(rowArr.getJSONArray(2).get(0).toString()));
                entity.setFac1Name(steamIndexMaps.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(steamIndexMaps.get(rowArr.getJSONArray(3).get(0).toString()));
                entity.setFac2Name(steamIndexMaps.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(steamIndexMaps.get(rowArr.getJSONArray(4).get(0).toString()));
                entity.setFac3Name(steamIndexMaps.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(steamIndexMaps.get(rowArr.getJSONArray(5).get(0).toString()));
                entity.setFac4Name(steamIndexMaps.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(steamIndexMaps.get(rowArr.getJSONArray(6).get(0).toString()));
                entity.setFac5Name(steamIndexMaps.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("");
            }

 ansteel-biz/src/main/java/com/iailab/module/ansteel/job/task/RunCokingTraceModelLJTask.java

@@ -11,6 +11,7 @@
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 com.iailab.module.model.api.mdk.MdkApi;
import org.apache.commons.lang3.StringUtils;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
@@ -19,6 +20,7 @@
import org.springframework.transaction.annotation.Transactional;
import org.springframework.util.CollectionUtils;

import java.math.BigDecimal;
import java.util.*;
import java.util.stream.Collectors;

@@ -54,6 +56,9 @@
    @Autowired
    private McsApi mcsApi;

    @Autowired
    private MdkApi mdkApi;

    private final static String process = "炼焦工序";

    private final static String reportName = "炼焦工序异常溯源";
@@ -64,36 +69,23 @@

    private final static String cokeRow = "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 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\":\"2025-04-28 甲班 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) {
@@ -209,36 +201,36 @@
            entity.setClock(clock);
            entity.setSugObj(SugObj);

            entity.setInd1Name(steamIndexMaps.get(rowArr.getJSONArray(0).get(0).toString()));
            entity.setInd1Name(steamIndexMaps.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(steamIndexMaps.get(rowArr.getJSONArray(1).get(0).toString()));
            entity.setInd2Name(steamIndexMaps.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(steamIndexMaps.get(rowArr.getJSONArray(2).get(0).toString()));
                entity.setFac1Name(steamIndexMaps.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(steamIndexMaps.get(rowArr.getJSONArray(3).get(0).toString()));
                entity.setFac2Name(steamIndexMaps.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(steamIndexMaps.get(rowArr.getJSONArray(4).get(0).toString()));
                entity.setFac3Name(steamIndexMaps.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(steamIndexMaps.get(rowArr.getJSONArray(5).get(0).toString()));
                entity.setFac4Name(steamIndexMaps.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(steamIndexMaps.get(rowArr.getJSONArray(6).get(0).toString()));
                entity.setFac5Name(steamIndexMaps.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("");
            }

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