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

@@ -1,5 +1,8 @@
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;
@@ -9,6 +12,8 @@
import com.iailab.module.ansteel.coking.service.CokingTraceDeviationService;
import com.iailab.module.ansteel.coking.service.CokingTraceReportService;
import com.iailab.module.ansteel.coking.service.CokingTraceSuggestService;
import com.iailab.module.model.api.mcs.McsApi;
import org.apache.commons.lang3.StringUtils;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Autowired;
@@ -17,6 +22,8 @@
import java.util.*;

/**
 * 干熄焦工序-异常溯源
 *
 * @author lirm
 * @Description
 * @createTime 2025年04月17日
@@ -38,21 +45,46 @@
    @Autowired
    private CokingAnalyIndService cokingAnalyIndService;

    private static final HashMap<String, Object> sugObjMap = new HashMap<String, Object>() {{
        put("1#", "1#干熄焦主蒸汽温度因装焦量、装焦温度偏低而降低13℃。经模型计算，建议调整XX,预计可使XX指标升高/降低XX");
        put("2#", "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XX，预计可使XX指标升高/降低XX\n");
    @Autowired
    private McsApi mcsApi;

    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, List<String>> deviationMap = new HashMap<String, List<String>>() {{
        put("1", Arrays.asList("1#", "一级指标-偏差值", "主蒸汽温度", "13", "℃"));
        put("2", Arrays.asList("1#", "二级指标-偏差值", "装焦温度", "50", "℃"));
        put("3", Arrays.asList("1#", "影响因素1-偏差值", "CO含量", "5", "%"));
        put("4", Arrays.asList("1#", "影响因素2-偏差值", "H2含量", "4", "%"));
        put("5", Arrays.asList("2#", "一级指标-偏差值", "蒸汽产量", "15", "t"));
        put("6", Arrays.asList("2#", "二级指标-偏差值", "空气导入量", "350", ""));
        put("7", Arrays.asList("2#", "影响因素1-偏差值", "干熄炉入口温度", "30", "℃"));
        put("8", Arrays.asList("2#", "影响因素2-偏差值", "H2含量", "4", "%"));
    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 static final String jsonStr="{\"result\":{" +
            "      \"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\",\n" +
            "      \"steamTotal2\":\"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13m3/h，经模型计算，建议调整循环风机转速，预计可使主蒸汽流量指标升高32m3/h\",\n" +
            "      \"steamFirstColoum0\":[[14,20],[14,30],[14,35]],\n" +
            "      \"steamFirstColoum1\":[[10,5],[11,15],[21,20]],\n" +
            "      \"steamFirstColoum2\":[[74,8],[36,18],[35,34]],\n" +
            "      \"steamFirstColoum3\":[[24,67],[6,12],[19,21]],\n" +
            "      \"steamFirstColoum4\":[[21,19],[22,31],[8,42]],\n" +
            "      \"steamFirstColoum5\":[[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\":\"2月18日甲班：干熄焦产蒸汽量异常\",\n" +
            "      \"steamHomeErr\":\"2月18日循环风机转速数据异常（无数据）\"}}";

    @Override
    public void run(String params) {
@@ -62,27 +94,34 @@
            int hour = calendar.get(Calendar.HOUR_OF_DAY);
            String yesterday = DateUtils.format(DateUtils.addDateDays(new Date(), -1), DateUtils.FORMAT_YEAR_MONTH_DAY);
            String clock = "";
            String analyClass = "";
            if (hour == 0) {
                clock = yesterday.concat("-").concat("A");
                analyClass = "甲班";
            } else if (hour == 8) {
                clock = yesterday.concat("-").concat("B");
                analyClass = "乙班";
            } else if (hour == 16) {
                clock = yesterday.concat("-").concat("C");
                analyClass = "丙班";
            }
            Map<String, Object> tMap = new HashMap<>();
            tMap.put("relId", UUID.randomUUID().toString());
            tMap.put("process", "干熄焦工序");
            tMap.put("reportName", "锅炉蒸汽产量");
            tMap.put("analyDate", yesterday);
            tMap.put("analyClass", "甲班");
            tMap.put("analyClass", analyClass);
            tMap.put("clock", clock);
            tMap.put("analyContent", "锅炉蒸汽产量异常");
            tMap.put("analyContent", "干熄焦产蒸汽量异常");

            saveTraceReport(tMap);
            saveTraceSuggest(tMap);
            saveTraceDeviation(tMap);
            saveTraceAnalyInd(tMap);

            JSONObject jsonObject= JSONObject.parseObject(jsonStr);
            JSONObject result = (JSONObject)JSON.toJSON(jsonObject.get("result"));
            if(!Objects.isNull(result)){
                saveTraceReport(tMap,result);
                saveTraceSuggest(tMap,result);
                saveTraceDeviation(tMap,result);
                saveTraceAnalyInd(tMap,result);
            }
        } catch (Exception ex) {
            logger.error("RunCokingTraceModelTask运行异常");
            ex.printStackTrace();
@@ -91,7 +130,7 @@

    }

    private void saveTraceReport(Map<String, Object> tMap) {
    private void saveTraceReport(Map<String, Object> tMap,JSONObject result) {
        CokingTraceReportEntity reportEntity = new CokingTraceReportEntity();
        reportEntity.setId(tMap.get("relId").toString());
        reportEntity.setProcess(tMap.get("process").toString());
@@ -104,36 +143,70 @@
        cokingTraceReportService.save(reportEntity);
    }

    private void saveTraceSuggest(Map<String, Object> tMap) {
        for (Map.Entry<String, Object> entry : sugObjMap.entrySet()) {
            CokingTraceSuggestEntity suggestEntity = new CokingTraceSuggestEntity();
            suggestEntity.setRelId(tMap.get("relId").toString());
            suggestEntity.setProcess(tMap.get("process").toString());
            suggestEntity.setSugObj(entry.getKey());
            suggestEntity.setClock(tMap.get("clock").toString());
            suggestEntity.setContent(entry.getValue().toString());
            cokingTraceSuggestService.save(suggestEntity);
    private void saveTraceSuggest(Map<String, Object> tMap,JSONObject result) {
        for(int i=1;i<=2;i++){
            String steamTotal = result.get("steamTotal"+i).toString();
            if(StringUtils.isNotBlank(steamTotal)){
                CokingTraceSuggestEntity suggestEntity = new CokingTraceSuggestEntity();
                suggestEntity.setRelId(tMap.get("relId").toString());
                suggestEntity.setProcess(tMap.get("process").toString());
                suggestEntity.setSugObj(i+"#");
                suggestEntity.setClock(tMap.get("clock").toString());
                suggestEntity.setContent(steamTotal);
                suggestEntity.setCreateDate(new Date());
                cokingTraceSuggestService.save(suggestEntity);
            }
        }
    }

    private void saveTraceDeviation(Map<String, Object> tMap) {
        for (Map.Entry<String, List<String>> entry : deviationMap.entrySet()) {
            CokingTraceDeviationEntity deviationEntity = new CokingTraceDeviationEntity();
            deviationEntity.setRelId(tMap.get("relId").toString());
            deviationEntity.setProcess(tMap.get("process").toString());
            deviationEntity.setSugObj(entry.getValue().get(0));
            deviationEntity.setClock(tMap.get("clock").toString());
            deviationEntity.setGroupName(entry.getValue().get(1));
            deviationEntity.setIndName(entry.getValue().get(2));
            deviationEntity.setIndValue(entry.getValue().get(3));
            deviationEntity.setIndUnit(entry.getValue().get(4));
            deviationEntity.setCreateDate(new Date());

            cokingTraceDeviationService.save(deviationEntity);
    private void saveTraceDeviation(Map<String, Object> tMap,JSONObject result) {
//        String chartCode = "STEAM_INDEX";
//        List<ChartParamDTO> list = mcsApi.getChartParamList(chartCode);
//        Map<String, String> steamIndexMaps = list.stream().collect(Collectors.toMap(ChartParamDTO::getParamCode, e -> e.getParamValue()));
        for(int i=0;i<=5;i++){
            String steamFirstColoum = result.get("steamFirstColoum"+i).toString();
            if(StringUtils.isNotBlank(steamFirstColoum)){
                JSONArray responseArr = JSON.parseArray(steamFirstColoum);
                for (int j = 0; j < responseArr.size(); j++) {
                    JSONArray element = JSON.parseArray(responseArr.get(j).toString());
                    CokingTraceDeviationEntity deviationEntity = new CokingTraceDeviationEntity();
                    deviationEntity.setRelId(tMap.get("relId").toString());
                    deviationEntity.setProcess(tMap.get("process").toString());
                    deviationEntity.setClock(tMap.get("clock").toString());
                    deviationEntity.setSugObj("1#");
                    deviationEntity.setGroupName(steamFirstColoumMap.get("steamFirstColoum"+i).toString());
//                    deviationEntity.setIndName(steamIndexMaps.get(element.get(0).toString()));
                    deviationEntity.setIndName(element.get(0).toString());
                    deviationEntity.setIndValue(element.get(1).toString());
                    deviationEntity.setCreateDate(new Date());
                    cokingTraceDeviationService.save(deviationEntity);
                }
            }
        }
        for(int i=0;i<=5;i++){
            String steamSecondColoum = result.get("steamSecondColoum"+i).toString();
            if(StringUtils.isNotBlank(steamSecondColoum)){
                JSONArray responseArr = JSON.parseArray(steamSecondColoum);

                for (int j = 0; j < responseArr.size(); j++) {
                    JSONArray element = JSON.parseArray(responseArr.get(j).toString());
                    CokingTraceDeviationEntity deviationEntity = new CokingTraceDeviationEntity();
                    deviationEntity.setRelId(tMap.get("relId").toString());
                    deviationEntity.setProcess(tMap.get("process").toString());
                    deviationEntity.setClock(tMap.get("clock").toString());
                    deviationEntity.setSugObj("2#");
                    deviationEntity.setGroupName(steamSecondColoumMap.get("steamSecondColoum" + i).toString());
                    deviationEntity.setIndName(element.get(0).toString());
                    deviationEntity.setIndValue(element.get(1).toString());
                    deviationEntity.setCreateDate(new Date());
                    cokingTraceDeviationService.save(deviationEntity);
                }
            }
        }

    }

    private void saveTraceAnalyInd(Map<String, Object> tMap) {
    private void saveTraceAnalyInd(Map<String, Object> tMap,JSONObject result) {
        CokingAnalyIndEntity analyIndEntity = new CokingAnalyIndEntity();
        analyIndEntity.setRelId(tMap.get("relId").toString());
        analyIndEntity.setAnalyType(tMap.get("process").toString());