小玉潭洪水预报模型优化
(cherry picked from commit 06d10a70865c7561888e7e0d9f24598e298a9c9e)master
cxw
parent
fd0238ba1c
commit
f2d432d1ee
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@ -99,4 +99,10 @@ public class ForecastResultVo {
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*/
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@Schema(description="土壤含水量")
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private BigDecimal pa;
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/**
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* 水库当前库容
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*/
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@Schema(description = "水库当前库容")
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private BigDecimal nowCap;
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}
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@ -25,6 +25,7 @@ import com.gunshi.project.xyt.model.StPptnRAverage;
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import com.gunshi.project.xyt.model.StRsvrR;
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import com.gunshi.project.xyt.model.StStbprpB;
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import com.gunshi.project.xyt.model.StZqrlB;
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import com.gunshi.project.xyt.model.StZvarlB;
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import com.gunshi.project.xyt.util.DataHandleUtil;
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import lombok.extern.slf4j.Slf4j;
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import org.springframework.beans.factory.annotation.Autowired;
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@ -92,6 +93,9 @@ public class ForecastResultsService extends ServiceImpl<ForecastResultsMapper, F
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@Autowired
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private AttResBaseService attResBaseService;
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@Autowired
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private StZvarlBService stZvarlBService;
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/**
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* @description: 自动洪水预测
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@ -200,6 +204,7 @@ public class ForecastResultsService extends ServiceImpl<ForecastResultsMapper, F
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.collect(Collectors.toList());
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double dt = 0.0;
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double Wm = 0.0;
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double qOther = 0.0;
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Map<String, String> paramMap = paramList.stream().collect(Collectors.toMap(ForecastUseparam::getParamCode, ForecastUseparam::getParamValue));
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if (paramMap.get("dt").isEmpty()) {
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throw new IllegalArgumentException("温馨提示：当前洪水预报所依赖的数据尚不完整，请检查时间单元△T是否缺失。");
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@ -207,6 +212,9 @@ public class ForecastResultsService extends ServiceImpl<ForecastResultsMapper, F
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if (paramMap.get("Im").isEmpty()) {
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throw new IllegalArgumentException("温馨提示：当前洪水预报所依赖的数据尚不完整，请检查最大初损值Im是否缺失。");
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}
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if (!paramMap.get("qOther").isEmpty()) {
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qOther = Double.parseDouble(paramMap.get("qOther"));
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}
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dt = Double.parseDouble(paramMap.get("dt"));
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Wm = Double.parseDouble(paramMap.get("Im"));
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List<ForecastU> uList = forecastUService.list();
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@ -234,6 +242,8 @@ public class ForecastResultsService extends ServiceImpl<ForecastResultsMapper, F
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H1 = Double.parseDouble(rsvrR.getRz());
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// 泄流量
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List<StZqrlB> stZqrlBList = stZqrlBService.list(new QueryWrapper<StZqrlB>().eq("stcd", attResBase.getStcd()));
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// 库容曲线
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List<StZvarlB> zvarlBS = stZvarlBService.list(new QueryWrapper<StZvarlB>().eq("stcd", attResBase.getStcd()));
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// 水位历史数据
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List<StRsvrR> rsvrRRealList = stRsvrRService.list(new QueryWrapper<StRsvrR>().eq("stcd", attResBase.getStcd()).ge("tm", startTime).le("tm", endTime));
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List<StRsvrR> resultList = reorganizeRsvrRData(rsvrRRealList, dt);
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@ -272,7 +282,7 @@ public class ForecastResultsService extends ServiceImpl<ForecastResultsMapper, F
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double[] PList = pForecastList.stream().mapToDouble(Double::parseDouble).toArray();
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// 预测执行
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List<FloodAlgorithemVo> forecastVoList = RrainfallForecast.getData(sdf.format(period[0]), forecastPa.getK().doubleValue(), forecastPa.getPa0().doubleValue(), Wm, forecastPa.getPt0().doubleValue(), H1, dt,
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forecastPa.getPa().doubleValue(), PList, u, attResBase.getStcd());
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forecastPa.getPa().doubleValue(), PList, u, attResBase.getStcd(), qOther);
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if (CollectionUtils.isNotEmpty(forecastVoList)) {
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// 筛选同时段的真实水位数据
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List<StRsvrR> realRsvrList = resultList.stream().filter(item -> item.getTm().compareTo(period[0]) >= 0 && item.getTm().compareTo(period[1]) <= 0).collect(Collectors.toList());
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@ -291,13 +301,15 @@ public class ForecastResultsService extends ServiceImpl<ForecastResultsMapper, F
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// resultVo.setRealRkQValue();// 暂无真实入库流量
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resultVo.setYcCkQValue(floodAlgorithemVo.getCq());// 预测出库流量
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resultVo.setYcSwHValue(floodAlgorithemVo.getKh());// 预测水库水位
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H1 = resultVo.getYcSwHValue().doubleValue();// 先以预测水位作为下一次预测段起始值
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H1 = resultVo.getYcSwHValue().doubleValue();// 以预测水位作为下一次预测段起始值
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String dateMinuteStr = dateStr.substring(0, dateStr.length() - 3);// 年月日 时分
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if (realRsvrMap.containsKey(dateMinuteStr)) {
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BigDecimal realSwHValue = new BigDecimal(realRsvrMap.get(dateMinuteStr));// 根据时间取更准确
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resultVo.setRealSwHValue(realSwHValue);// 真实水库水位
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calculateCap(zvarlBS, resultVo, realSwHValue);// 有真实水位就用真实水位算（作为实测库容）
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resultVo.setSwHDValue(resultVo.getYcSwHValue().subtract(resultVo.getRealSwHValue()));// 预测与真实水位差
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H1 = realSwHValue.doubleValue();// 如果有真实水位，将最后一条的真实水位作为下一次预测段的初始水位
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// 注释：修复跨8点时的陡升陡降
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// H1 = realSwHValue.doubleValue();// 如果有真实水位，将最后一条的真实水位作为下一次预测段的初始水位
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// 真实出库流量=真实水库水位与泄流量曲线差值法
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if (realSwHValue != null && CollectionUtils.isNotEmpty(stZqrlBList)) {
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BigDecimal maxZ = stZqrlBList.stream().max(Comparator.comparing(StZqrlB::getZ)).get().getZ();
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@ -310,6 +322,9 @@ public class ForecastResultsService extends ServiceImpl<ForecastResultsMapper, F
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resultVo.setRealCkQValue(DataHandleUtil.calcData(realSwHValue, stZvalMap, list));// 真实出库流量
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}
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}
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} else {
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// 没有真实水位就用预测水位算（作为预测库容）
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calculateCap(zvarlBS, resultVo, resultVo.getYcSwHValue());
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}
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BigDecimal drp = new BigDecimal(pRealMap.get(dateMinuteStr));// 根据时间取更准确
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if (drp.compareTo(BigDecimal.ZERO) < 0) {
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@ -330,6 +345,28 @@ public class ForecastResultsService extends ServiceImpl<ForecastResultsMapper, F
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return voList;
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}
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/**
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* @description: 根据水位计算库容
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* @param zvarlBS 库容曲线
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* @param resultVo vo
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* @param rz 当前水位
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* @return: void
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* @auther: cxw
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* @date: 2024-10-14, 周一, 09:36:13
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*/
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private void calculateCap(List<StZvarlB> zvarlBS, ForecastResultVo resultVo, BigDecimal rz){
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if(CollectionUtils.isNotEmpty(zvarlBS)){
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BigDecimal maxRz = zvarlBS.stream().max(Comparator.comparing(StZvarlB::getRz)).get().getRz();
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BigDecimal minRz = zvarlBS.stream().min(Comparator.comparing(StZvarlB::getRz)).get().getRz();
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if(rz.compareTo(minRz) < 0 || rz.compareTo(maxRz) > 0){
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return;
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}
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Map<BigDecimal, BigDecimal> stZvalMap = zvarlBS.stream().collect(Collectors.toMap(StZvarlB::getRz, StZvarlB::getW));
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List<BigDecimal> list = zvarlBS.stream().map(StZvarlB::getRz).sorted().collect(Collectors.toList());
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resultVo.setNowCap(DataHandleUtil.calcData(rz,stZvalMap,list));
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}
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}
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/**
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* 计算时间的小时差值
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*/
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