洪水预报优化

master
chenxiwang 2024-08-19 13:23:53 +08:00
parent 1d63b94dcc
commit 06719b8873
5 changed files with 31 additions and 0 deletions

View File

@ -81,6 +81,7 @@ public class ForecastProjectController {
public R<List<ForecastProject>> list(@RequestBody @Validated ForecastProject forecastProject) {
QueryWrapper<ForecastProject> wrapper = new QueryWrapper<ForecastProject>()
.like(ObjectUtils.isNotNull(forecastProject.getName()), "name", forecastProject.getName())
.like(ObjectUtils.isNotNull(forecastProject.getType()), "type", forecastProject.getType())
.ge(ObjectUtils.isNotNull(forecastProject.getStartTm()), "forecast_tm", forecastProject.getStartTm())
.le(ObjectUtils.isNotNull(forecastProject.getEndTm()), "forecast_tm", forecastProject.getEndTm());
if(StringUtils.isNotBlank(forecastProject.getOrderField())){
@ -94,6 +95,7 @@ public class ForecastProjectController {
public R<Page<ForecastProject>> page(@RequestBody @Validated ForecastProject forecastProject) {
QueryWrapper<ForecastProject> wrapper = new QueryWrapper<ForecastProject>()
.like(ObjectUtils.isNotNull(forecastProject.getName()), "name", forecastProject.getName())
.like(ObjectUtils.isNotNull(forecastProject.getType()), "type", forecastProject.getType())
.ge(ObjectUtils.isNotNull(forecastProject.getStartTm()), "forecast_tm", forecastProject.getStartTm())
.le(ObjectUtils.isNotNull(forecastProject.getEndTm()), "forecast_tm", forecastProject.getEndTm());
if(StringUtils.isNotBlank(forecastProject.getOrderField())){

View File

@ -82,6 +82,12 @@ public class ForecastResultVo {
@Schema(description="主汛期防洪限制水位")
private BigDecimal flLowLimLev;
/**
*
*/
@Schema(description="当前堰顶高度预警值")
private BigDecimal currentYdgdyjz;
/**
*
*/

View File

@ -141,6 +141,12 @@ public class ForecastResults extends GenericPageParams implements Serializable {
@Schema(description="主汛期防洪限制水位")
private BigDecimal flLowLimLev;
/**
*
*/
@Schema(description="当前堰顶高度预警值")
private BigDecimal currentYdgdyjz;
/**
*
*/

View File

@ -57,6 +57,7 @@ public class ForecastProjectService extends ServiceImpl<ForecastProjectMapper, F
forecastResults.setR(vo.getR());
forecastResults.setProjectId(forecastProject.getId());
forecastResults.setFlLowLimLev(vo.getFlLowLimLev());
forecastResults.setCurrentYdgdyjz(vo.getCurrentYdgdyjz());
forecastResults.setPa(vo.getPa());
retList.add(forecastResults);
}

View File

@ -1,5 +1,6 @@
package com.gunshi.project.xyt.service;
import cn.hutool.core.map.MapUtil;
import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper;
import com.baomidou.mybatisplus.core.toolkit.CollectionUtils;
import com.baomidou.mybatisplus.core.toolkit.ObjectUtils;
@ -230,6 +231,10 @@ public class ForecastResultsService extends ServiceImpl<ForecastResultsMapper, F
List<StRsvrR> realRsvrList = resultList.stream().filter(item -> item.getTm().compareTo(period[0]) >= 0 && item.getTm().compareTo(period[1]) <= 0).collect(Collectors.toList());
Map<String, String> realRsvrMap = realRsvrList.stream().collect(Collectors.toMap(rsvr -> sdfMinute.format(rsvr.getTm()), StRsvrR::getRz));
forecastVoList = forecastVoList.subList(0, PList.length);
// 去除预测出来的最后一条与第二次实际的相同时间的数据
if(voList.size() > 0 && voList.get(voList.size() - 1).getTm().equals(forecastVoList.get(0).getDateStr())){
voList.remove(voList.size() - 1);
}
for (int j = 0; j < forecastVoList.size(); j++) {
FloodAlgorithemVo floodAlgorithemVo = forecastVoList.get(j);
String dateStr = floodAlgorithemVo.getDateStr();
@ -268,6 +273,7 @@ public class ForecastResultsService extends ServiceImpl<ForecastResultsMapper, F
resultVo.setIspreDrp(dateTm.compareTo(nowHourTime) <= 0 ? "0" : "1");// 0真实 1预测
resultVo.setR(floodAlgorithemVo.getR());
resultVo.setFlLowLimLev(attResBase.getFlLowLimLev());
resultVo.setCurrentYdgdyjz(MapUtil.get(paramMap, "ydgdyjz", BigDecimal.class, BigDecimal.ZERO));
resultVo.setPa(floodAlgorithemVo.getPa());
voList.add(resultVo);
}
@ -335,6 +341,11 @@ public class ForecastResultsService extends ServiceImpl<ForecastResultsMapper, F
* @auther: cxw
*/
private List<StRsvrR> reorganizeRsvrRData(List<StRsvrR> rsvrRRealList, double dt) {
// 只保留整小时的数据
rsvrRRealList = rsvrRRealList.stream().filter(entity -> {
Date date = entity.getTm();
return date.getMinutes() == 0 && date.getSeconds() == 0;
}).collect(Collectors.toList());
// 每次加0小时30分钟根据dt设置此时dt=0.5小时
int totalMinutes = (int) Math.round(dt * 60);
// 计算小时数
@ -382,6 +393,11 @@ public class ForecastResultsService extends ServiceImpl<ForecastResultsMapper, F
* @auther: cxw
*/
private Map<String, List<StPptnR>> reorganizePptnRData(List<StPptnR> filterList, double dt, Date startTm, Date endTm) {
// 只保留整小时的数据
filterList = filterList.stream().filter(entity -> {
Date date = entity.getTm();
return date.getMinutes() == 0 && date.getSeconds() == 0;
}).collect(Collectors.toList());
Map<String, List<StPptnR>> retMap = new HashMap<>();
Map<String, String> tmDrpMap = filterList.stream().collect(Collectors.toMap(pptnR -> sdfMinute.format(pptnR.getTm()), StPptnR::getDrp));
List<StPptnR> listForForecast = new ArrayList<>();// 传给预测程序使用缺失的数据为0