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package com.njcn.rt.service.impl;
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import cn.hutool.core.collection.CollectionUtil;
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import com.alibaba.nacos.shaded.com.google.gson.Gson;
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import com.github.tocrhz.mqtt.publisher.MqttPublisher;
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import com.njcn.access.utils.ChannelObjectUtil;
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import com.njcn.common.pojo.exception.BusinessException;
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import com.njcn.common.utils.PubUtils;
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import com.njcn.csdevice.api.CsLineFeignClient;
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import com.njcn.csdevice.api.DataArrayFeignClient;
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import com.njcn.csdevice.api.DataSetFeignClient;
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import com.njcn.csdevice.pojo.po.CsDataArray;
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import com.njcn.csdevice.pojo.po.CsDataSet;
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import com.njcn.csdevice.pojo.po.CsLinePO;
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import com.njcn.mq.message.AppAutoDataMessage;
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import com.njcn.redis.utils.RedisUtil;
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import com.njcn.rt.enums.RtResponseEnum;
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import com.njcn.rt.pojo.dto.BaseRealDataSet;
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import com.njcn.rt.pojo.dto.HarmData;
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import com.njcn.rt.pojo.dto.HarmRealDataSet;
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import com.njcn.rt.service.IRtService;
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import com.njcn.web.utils.FloatUtils;
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import lombok.RequiredArgsConstructor;
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import org.springframework.stereotype.Service;
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import java.lang.reflect.Field;
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import java.time.Instant;
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import java.time.LocalDateTime;
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import java.time.ZoneId;
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import java.time.format.DateTimeFormatter;
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import java.util.*;
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import java.util.function.BinaryOperator;
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import java.util.function.Function;
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import java.util.stream.Collectors;
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/**
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* @author xy
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*/
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@Service
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@RequiredArgsConstructor
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public class RtServiceImpl implements IRtService {
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private final CsLineFeignClient csLineFeignClient;
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private final DataSetFeignClient dataSetFeignClient;
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private final DataArrayFeignClient dataArrayFeignClient;
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private final RedisUtil redisUtil;
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private final ChannelObjectUtil channelObjectUtil;
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private final MqttPublisher publisher;
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@Override
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public void analysis(AppAutoDataMessage appAutoDataMessage) {
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List<CsDataArray> dataArrayList;
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//监测点id
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String lineId = appAutoDataMessage.getId() + appAutoDataMessage.getMsg().getClDid();
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//获取监测点基础信息
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CsLinePO po = csLineFeignClient.getById(lineId).getData();
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//获取数据集 dataSet
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Integer idx = appAutoDataMessage.getMsg().getDsNameIdx();
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CsDataSet dataSet = dataSetFeignClient.getDataSetByIdx(po.getDataModelId(),idx).getData();
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//根据数据集获取指标 dataArray
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//实时数据数据集不区分最大最小类型，因此数据集取平均值用于解析
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String key = "BaseRealData:" + lineId + idx;
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Object object = redisUtil.getObjectByKey(key);
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if (Objects.isNull(object)){
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dataArrayList = saveBaseRealDataSet(key,dataSet.getId());
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} else {
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dataArrayList = channelObjectUtil.objectToList(object,CsDataArray.class);
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}
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//根据dataArray解析数据
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AppAutoDataMessage.DataArray item = appAutoDataMessage.getMsg().getDataArray().get(0);
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//fixme 这边先根据数据集的名称来返回对应实体，这边感觉不太合适，后期有好方案再调整
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//基础数据
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if (Objects.equals(dataSet.getName(),"Ds$Pqd$Rt$Basic$01")) {
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BaseRealDataSet baseRealDataSet = assembleData(dataArrayList,item,po.getConType());
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baseRealDataSet.setLineId(lineId);
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baseRealDataSet.setPt(po.getPtRatio().floatValue());
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baseRealDataSet.setCt(po.getCtRatio().floatValue());
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baseRealDataSet.setDataLevel(dataSet.getDataLevel());
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long timestamp = item.getDataTimeSec() - 8*3600;
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baseRealDataSet.setDataTime(getTime(timestamp));
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publisher.send("/Web/RealData/" + lineId, new Gson().toJson(baseRealDataSet), 1, false);
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}
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//fixme 目前实时数据只有基础数据和谐波数据，后期拓展，这边需要再判断
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else {
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HarmRealDataSet harmRealDataSet = harmData(dataArrayList,item);
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harmRealDataSet.setLineId(lineId);
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harmRealDataSet.setPt(po.getPtRatio().floatValue());
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harmRealDataSet.setCt(po.getCtRatio().floatValue());
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harmRealDataSet.setDataLevel(dataSet.getDataLevel());
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long timestamp = item.getDataTimeSec() - 8*3600;
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harmRealDataSet.setDataTime(getTime(timestamp));
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publisher.send("/Web/RealData/" + lineId, new Gson().toJson(harmRealDataSet), 1, false);
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}
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}
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/**
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* 时间处理
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*/
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public String getTime(long timestamp) {
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Instant instant = Instant.ofEpochSecond(timestamp);
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LocalDateTime dateTime = LocalDateTime.ofInstant(instant, ZoneId.systemDefault());
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DateTimeFormatter formatter = DateTimeFormatter.ofPattern("yyyy-MM-dd HH:mm:ss");
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return dateTime.format(formatter);
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}
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/**
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* 缓存实时数据数据集
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* @param key
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* @param dataSetId
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* @return
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*/
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public List<CsDataArray> saveBaseRealDataSet(String key, String dataSetId) {
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List<CsDataArray> dataArrays = dataArrayFeignClient.getArrayBySet(dataSetId).getData();
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List<CsDataArray> dataArrayList = dataArrays.stream().filter(item->Objects.equals(item.getStatMethod(),"avg")).collect(Collectors.toList());
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redisUtil.saveByKeyWithExpire(key,dataArrayList,600L);
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return dataArrayList;
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}
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/**
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* 数据解码
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* @return
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*/
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public Map<String,Float> getData(List<CsDataArray> dataArrayList,AppAutoDataMessage.DataArray dataArray) {
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Map<String,Float> dataMap = new LinkedHashMap<>();
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//解码
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List<Float> floats = PubUtils.byteArrayToFloatList(Base64.getDecoder().decode(dataArray.getData()));
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if (CollectionUtil.isEmpty(floats)){
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throw new BusinessException(RtResponseEnum.AUTO_DATA_NULL);
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}
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//校验模板和解码数据数量能否对应上
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if (!Objects.equals(dataArrayList.size(),floats.size())){
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throw new BusinessException(RtResponseEnum.ARRAY_DATA_NOT_MATCH);
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}
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for (int i = 0; i < dataArrayList.size(); i++) {
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dataMap.put(dataArrayList.get(i).getName() + dataArrayList.get(i).getPhase(),floats.get(i));
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}
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return dataMap;
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}
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public BaseRealDataSet assembleData(List<CsDataArray> dataArrayList,AppAutoDataMessage.DataArray dataArray,Integer conType) {
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Map<String,Float> dataMap = getData(dataArrayList,dataArray);
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return channelData(dataMap,conType);
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}
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public BaseRealDataSet channelData(Map<String,Float> map,Integer conType) {
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BaseRealDataSet baseRealDataSet = new BaseRealDataSet();
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//频率
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baseRealDataSet.setFreq(FloatUtils.get2Float(map.get("Pq_FreqM")));
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//频率偏差
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baseRealDataSet.setFreqDev(FloatUtils.get2Float(map.get("Pq_FreqDevM")));
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//判断监测点的接线方式，不同接线方式电压有效值取值不同
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//星型-相电压 角形、V型-线电压
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//电压有效值
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if (conType == 0) {
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baseRealDataSet.setVRmsA(FloatUtils.get2Float(map.get("Pq_RmsUA")));
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baseRealDataSet.setVRmsB(FloatUtils.get2Float(map.get("Pq_RmsUB")));
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baseRealDataSet.setVRmsC(FloatUtils.get2Float(map.get("Pq_RmsUC")));
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} else {
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baseRealDataSet.setVRmsA(FloatUtils.get2Float(map.get("Pq_RmsLUAB")));
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baseRealDataSet.setVRmsB(FloatUtils.get2Float(map.get("Pq_RmsLUBC")));
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baseRealDataSet.setVRmsC(FloatUtils.get2Float(map.get("Pq_RmsLUCA")));
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}
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//基波电压幅值
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baseRealDataSet.setV1A(FloatUtils.get2Float(map.get("Pq_RmsFundUA")));
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baseRealDataSet.setV1B(FloatUtils.get2Float(map.get("Pq_RmsFundUB")));
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baseRealDataSet.setV1C(FloatUtils.get2Float(map.get("Pq_RmsFundUC")));
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//电流有效值
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baseRealDataSet.setIRmsA(FloatUtils.get2Float(map.get("Pq_RmsIA")));
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baseRealDataSet.setIRmsB(FloatUtils.get2Float(map.get("Pq_RmsIB")));
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baseRealDataSet.setIRmsC(FloatUtils.get2Float(map.get("Pq_RmsIC")));
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//基波电流幅值
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baseRealDataSet.setI1A(FloatUtils.get2Float(map.get("Pq_RmsFundIA")));
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baseRealDataSet.setI1B(FloatUtils.get2Float(map.get("Pq_RmsFundIB")));
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baseRealDataSet.setI1C(FloatUtils.get2Float(map.get("Pq_RmsFundIC")));
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//电压偏差
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baseRealDataSet.setVDevA(FloatUtils.get2Float(map.get("Pq_UDevA")));
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baseRealDataSet.setVDevB(FloatUtils.get2Float(map.get("Pq_UDevB")));
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baseRealDataSet.setVDevC(FloatUtils.get2Float(map.get("Pq_UDevC")));
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//基波电压相位
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baseRealDataSet.setV1AngA(FloatUtils.get2Float(map.get("Pq_FundUAngA")));
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baseRealDataSet.setV1AngB(FloatUtils.get2Float(map.get("Pq_FundUAngB")));
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baseRealDataSet.setV1AngC(FloatUtils.get2Float(map.get("Pq_FundUAngC")));
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//基波电流相位
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baseRealDataSet.setI1AngA(FloatUtils.get2Float(map.get("Pq_FundIAngA")));
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baseRealDataSet.setI1AngB(FloatUtils.get2Float(map.get("Pq_FundIAngB")));
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baseRealDataSet.setI1AngC(FloatUtils.get2Float(map.get("Pq_FundIAngC")));
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//电压总谐波畸变率
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baseRealDataSet.setVThdA(FloatUtils.get2Float(map.get("Pq_ThdUA")));
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baseRealDataSet.setVThdB(FloatUtils.get2Float(map.get("Pq_ThdUB")));
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baseRealDataSet.setVThdC(FloatUtils.get2Float(map.get("Pq_ThdUC")));
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//电流总谐波畸变率
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baseRealDataSet.setIThdA(FloatUtils.get2Float(map.get("Pq_ThdIA")));
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baseRealDataSet.setIThdB(FloatUtils.get2Float(map.get("Pq_ThdIB")));
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baseRealDataSet.setIThdC(FloatUtils.get2Float(map.get("Pq_ThdIC")));
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//电压不平衡度
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baseRealDataSet.setVUnbalance(FloatUtils.get2Float(map.get("Pq_UnbalNegUM")));
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//电流不平衡度
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baseRealDataSet.setIUnbalance(FloatUtils.get2Float(map.get("Pq_UnbalNegIM")));
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//有功功率
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baseRealDataSet.setPA(FloatUtils.get2Float(map.get("Pq_PA")));
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baseRealDataSet.setPB(FloatUtils.get2Float(map.get("Pq_PB")));
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baseRealDataSet.setPC(FloatUtils.get2Float(map.get("Pq_PC")));
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baseRealDataSet.setPTot(FloatUtils.get2Float(map.get("Pq_TotPM")));
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//无功功率
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baseRealDataSet.setQA(FloatUtils.get2Float(map.get("Pq_QA")));
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baseRealDataSet.setQB(FloatUtils.get2Float(map.get("Pq_QB")));
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baseRealDataSet.setQC(FloatUtils.get2Float(map.get("Pq_QC")));
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baseRealDataSet.setQTot(FloatUtils.get2Float(map.get("Pq_TotQM")));
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//视在功率
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baseRealDataSet.setSA(FloatUtils.get2Float(map.get("Pq_SA")));
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baseRealDataSet.setSB(FloatUtils.get2Float(map.get("Pq_SB")));
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baseRealDataSet.setSC(FloatUtils.get2Float(map.get("Pq_SC")));
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baseRealDataSet.setSTot(FloatUtils.get2Float(map.get("Pq_TotSM")));
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//功率因数
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baseRealDataSet.setPfA(FloatUtils.get2Float(map.get("Pq_PFA")));
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baseRealDataSet.setPfB(FloatUtils.get2Float(map.get("Pq_PFB")));
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baseRealDataSet.setPfC(FloatUtils.get2Float(map.get("Pq_PFC")));
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baseRealDataSet.setPfTot(FloatUtils.get2Float(map.get("Pq_TotPFM")));
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//基波功率因数
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baseRealDataSet.setDpfA(FloatUtils.get2Float(map.get("Pq_DPFA")));
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baseRealDataSet.setDpfB(FloatUtils.get2Float(map.get("Pq_DPFB")));
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baseRealDataSet.setDpfC(FloatUtils.get2Float(map.get("Pq_DPFC")));
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baseRealDataSet.setDpfTot(FloatUtils.get2Float(map.get("Pq_TotDPFM")));
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return baseRealDataSet;
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}
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public HarmRealDataSet harmData(List<CsDataArray> dataArrayList, AppAutoDataMessage.DataArray dataArray) {
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HarmRealDataSet harmRealDataSet = new HarmRealDataSet();
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List<HarmData> harmDataList = new ArrayList<>();
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//解码
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List<Float> floats = PubUtils.byteArrayToFloatList(Base64.getDecoder().decode(dataArray.getData()));
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if (CollectionUtil.isEmpty(floats)){
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throw new BusinessException(RtResponseEnum.AUTO_DATA_NULL);
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}
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//校验模板和解码数据数量能否对应上
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if (!Objects.equals(dataArrayList.size(),floats.size())){
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throw new BusinessException(RtResponseEnum.ARRAY_DATA_NOT_MATCH);
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}
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for (int i = 0; i < dataArrayList.size(); i++) {
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HarmData harmData = new HarmData();
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harmData.setHarmName(dataArrayList.get(i).getName());
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harmData.setPhase(dataArrayList.get(i).getPhase());
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harmData.setSort(dataArrayList.get(i).getSort());
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harmData.setData(floats.get(i));
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harmDataList.add(harmData);
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}
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//根据名称分组，然后在不同相别的数据中取最大值
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List<HarmData> maxDataList = new ArrayList<>(harmDataList.stream()
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.collect(Collectors.toMap(
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HarmData::getHarmName,
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Function.identity(),
|
|
|
|
|
BinaryOperator.maxBy(Comparator.comparingDouble(HarmData::getData))
|
|
|
|
|
))
|
|
|
|
|
.values());
|
|
|
|
|
//通过反射将数据赋值
|
|
|
|
|
Class<?> clazz = HarmRealDataSet.class;
|
|
|
|
|
maxDataList.forEach(item->{
|
|
|
|
|
if (Objects.equals(item.getHarmName(),"Pq_RmsFundI") || Objects.equals(item.getHarmName(),"Pq_RmsFundU")) {
|
|
|
|
|
harmRealDataSet.setData1(FloatUtils.get2Float(item.getData()));
|
|
|
|
|
} else {
|
|
|
|
|
String numberStr = item.getHarmName().substring(item.getHarmName().lastIndexOf('_') + 1);
|
|
|
|
|
String fieldName = "data" + numberStr;
|
|
|
|
|
try {
|
|
|
|
|
Field field = clazz.getDeclaredField(fieldName);
|
|
|
|
|
field.setAccessible(true);
|
|
|
|
|
field.set(harmRealDataSet,FloatUtils.get2Float(item.getData()));
|
|
|
|
|
} catch (Exception e) {
|
|
|
|
|
throw new RuntimeException(e);
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
});
|
|
|
|
|
return harmRealDataSet;
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
}
|
