package com.iailab.module.ansteel.job.task;
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import com.alibaba.fastjson.JSON;
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import com.alibaba.fastjson.JSONObject;
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import com.iailab.framework.common.util.date.DateUtils;
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import com.iailab.module.ansteel.coking.service.*;
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import com.iailab.module.ansteel.common.constant.CommonConstant;
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import com.iailab.module.ansteel.common.enums.TraceProcessTypeEnum;
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import com.iailab.module.model.api.mcs.McsApi;
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import com.iailab.module.model.api.mdk.MdkApi;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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import org.springframework.beans.factory.annotation.Autowired;
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import org.springframework.stereotype.Component;
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import java.util.Calendar;
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import java.util.Date;
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import java.util.Objects;
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/**
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* 干熄焦工序-异常溯源
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*
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* @author lirm
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* @Description
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* @createTime 2025年04月17日
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*/
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@Component("runCokingTraceModelGXJTask")
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public class RunCokingTraceModelGXJTask implements ITask {
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private Logger logger = LoggerFactory.getLogger(getClass());
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@Autowired
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private CokingTraceReportService cokingTraceReportService;
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@Autowired
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private CokingTraceSuggestService cokingTraceSuggestService;
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@Autowired
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private CokingTraceDeviationService cokingTraceDeviationService;
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@Autowired
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private CokingAnalyIndService cokingAnalyIndService;
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@Autowired
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private CokingTraceIndService cokingTraceIndService;
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@Autowired
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private McsApi mcsApi;
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@Autowired
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private MdkApi mdkApi;
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private final static String process = TraceProcessTypeEnum.GXJ.getProcess();
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private final static String reportName = "干熄焦工序异常溯源";
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private final static String indType = "干熄焦工序异常溯源";
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private final static String row = "steamRow";
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private final static String total = "steamTotal1";
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private final static String SugObj = "GXJ";
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private static final String jsonStr = "{\"result\":{" +
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" \"steamProd\":[[0.76,0.76],[07,0.72],[0.74,0.68]]," +
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"\"steamRow0\":[[14.0,20.7],[14.0,30.5],[14.0,35.2],[24.0,67.9],[6.0,12.3]]," +
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"\"steamRow1\":[[10.0,5.5],[11.0,15.1],[21.0,20.6],[22.0,31.3],[8.0,42.5]]," +
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"\"steamRow2\":[[74.0,8.2],[36.0,18.2],[35.0,34.6],[9.0,62.4],[18.0,34.7]]," +
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"\"steamPressure\":[3.7,3.6,3.4]," +
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"\"steamHomePage\":[[220.4,223.5],[0.5],[673214.3]]," +
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"\"steamHomeIndexInfo\":\"干熄焦产蒸汽量异常\"," +
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"\"steamTemperature\":[461.3,460.4,456.6]," +
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"\"steamElec\":[233564.3,224571.7,246120.2,603157.7]," +
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"\"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]]," +
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"\"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\"," +
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"\"steamHomeIndex\":[[63.2,61.7],[62.8,67.2],[66.1,65.7],[204.6,220.5]]" +
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" }" +
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"}";
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@Override
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public void run(String params) {
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logger.info("RunCokingTraceModelGXJTask，参数为：{}", params);
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try {
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Calendar calendar = Calendar.getInstance();
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calendar.set(Calendar.MILLISECOND, 0);
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calendar.set(Calendar.SECOND, 0);
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calendar.set(Calendar.MINUTE, 0);
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calendar.set(Calendar.HOUR_OF_DAY, 0);
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Date endDate = calendar.getTime();
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calendar.add(Calendar.DAY_OF_YEAR, -1);
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Date startDate = calendar.getTime();
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String clock = DateUtils.format(startDate);
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// 调用模型
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/* MdkScheduleReqDTO dto = new MdkScheduleReqDTO();
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dto.setScheduleTime(calendar.getTime());
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dto.setScheduleCode(params);
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MdkScheduleRespDTO mdkScheduleRespDTO = mdkApi.doSchedule(dto);
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logger.info(params + "调度方案执行完成，" + mdkScheduleRespDTO);
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Map<String, Object> result = mdkScheduleRespDTO.getResult();
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JSONObject jsonObject = new JSONObject(result);
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JSONObject result2 = (JSONObject) JSON.toJSON(jsonObject.get("result"));*/
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JSONObject jsonObject = JSONObject.parseObject(jsonStr);
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JSONObject result = (JSONObject) JSON.toJSON(jsonObject.get("result"));
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if (Objects.isNull(result)) {
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logger.info("模型结果为空");
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return;
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}
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// 保存报告
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String analyDate = DateUtils.format(startDate);
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String analyContent = clock + " " + result.getString("steamHomeIndexInfo");
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String content = result.getString(total);
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String relId = cokingTraceReportService.save(process, reportName, analyDate, clock, analyContent);
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// 保存一级分析指标
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cokingAnalyIndService.saveAnalyInd(relId, process, analyDate, analyContent);
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// 保存优化建议
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cokingTraceSuggestService.saveTraceSuggest(relId, process, clock, content, SugObj);
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// 保存偏差值
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cokingTraceDeviationService.saveTraceDeviation(relId, process, clock, result, CommonConstant.COKE_INDEX_CHARTCODE, row, SugObj);
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// 保存溯源指标
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cokingTraceIndService.saveTraceInd(relId, indType, clock);
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} catch (Exception ex) {
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logger.error("RunCokingTraceModelGXJTask运行异常");
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ex.printStackTrace();
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}
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logger.info("RunCokingTraceModelGXJTask运行完成");
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}
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}
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