using IStation.Application;
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using IStation.ChEr.Application;
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using IStation.ChEr.Model;
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using IStation.Service;
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using Quartz;
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using System.Data;
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using Yw;
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using Yw.Dto;
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using static IStation.Service.SSAPredictHelper;
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namespace IStation.ChEr.WebApi
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{
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/// <summary>
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///
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/// </summary>
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[DisallowConcurrentExecution]//此特性标识 必须等待这次任务执行完成后，才能执行下次任务
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public class CalcWaterPredictJob : IJob
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{
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/// <summary>
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/// /
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/// </summary>
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public CalcWaterPredictJob()
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{
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}
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private SSAPredictHelper _SSAPredictHelper = new SSAPredictHelper();
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private BLL.WaterPredictRecord _bll = new BLL.WaterPredictRecord();
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/// <summary>
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///
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/// </summary>
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/// <param name="context"></param>
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/// <returns></returns>
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public Task Execute(IJobExecutionContext context)
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{
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if (DateTime.Now.Hour == 0 && DateTime.Now.Minute == 15)
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{
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insert2daysPredictData();
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}
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// var TodayRealdataList = ConnectHelper.GetByPumpOneDayWaterData(DateTime.Today, DateTime.Today.AddDays(1), "1h").Where(x => x.DateTime.Hour <= DateTime.Now.Hour).ToList();
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//当前小时
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int dayHour = WaterPredictRecord.ConvertIntDay(DateTime.Now);
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//上一个小时
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int lastHour = WaterPredictRecord.ConvertIntDay(DateTime.Now.AddHours(-1));
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var twoDaysList = _bll.GetEnd2Days(1272);
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// LogHelper.Info("数据库取出" + JsonHelper.Object2Json(twoDaysList));
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//选中当前时间对应的数据库数据
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var select = twoDaysList.Find(x => x.DayHour == dayHour);
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//当前的上一个小时的数据
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var lastValue = twoDaysList.Find(x => x.DayHour == lastHour);
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try
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{
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var allRealData = ConnectHelper.GetLatelyOneHourValue("120s", out string error);
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if (error != string.Empty)
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{
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LogHelper.Info(error);
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}
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var line1 = PredictHelper.GetAccWater(allRealData, 0, out string line1error);
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select.States = 1;
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if (line1error != string.Empty)
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{
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select.BakData += JsonHelper.Object2Json(allRealData[0]);
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select.Description += "嘉定一线数据有误" + line1error;
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select.States = 0;
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}
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var line2 = PredictHelper.GetAccWater(allRealData, 1, out string line2error);
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if (line2error != string.Empty)
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{
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select.BakData += JsonHelper.Object2Json(allRealData[1]);
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select.Description += "嘉定二线数据有误" + line2error;
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select.States = 0;
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}
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var line3 = PredictHelper.GetAccWater(allRealData, 2, out string line3error);
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if (line3error != string.Empty)
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{
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select.BakData += JsonHelper.Object2Json(allRealData[2]);
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select.Description += "嘉定三线数据有误" + line3error;
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select.States = 0;
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}
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var pipe2400 = PredictHelper.GetAccWater(allRealData, 3, out string pipe2400error);
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if (pipe2400error != string.Empty)
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{
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select.BakData += JsonHelper.Object2Json(allRealData[3]);
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select.Description += "2400总管数据有误" + pipe2400error;
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select.States = 0;
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}
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var pipe2700 = PredictHelper.GetAccWater(allRealData, 4, out string pipe2700error);
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if (pipe2700error != string.Empty)
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{
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select.BakData += JsonHelper.Object2Json(allRealData[4]);
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select.Description += "2600总管数据有误" + pipe2700error;
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select.States = 0;
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}
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if (line1 != 0 || line2 != 0 || line3 != 0 || pipe2400 != 0 || pipe2700 != 0)
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{
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select.RealDifferenceValue = line1 + line2 + line3 + pipe2400 + pipe2700;
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if (select.RealDifferenceValue < 20000 || select.RealDifferenceValue > 90000)
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{
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select.Description += "真实数据偏差过大,请检测数据";
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select.States = 0;
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}
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}
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else
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{
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select.RealDifferenceValue = lastValue.RealDifferenceValue;
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LogHelper.Info(">>>>五条管内数据有异常");
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};
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// select.RealDifferenceValue = select.RealTotalValue - lastValue.RealTotalValue;
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LogHelper.Info("替换数据");
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_bll.Update(select);
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}
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catch (Exception ex)
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{
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LogHelper.Info("出现错误,进入catch" + ex.Message);
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select.RealTotalValue = 0;
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select.States = 0;
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select.Description += ",时间:" + DateTime.Now.ToString("HH:mm") + "未能从众毅取到真实数据";
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select.RealDifferenceValue = lastValue.RealDifferenceValue; ;
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var ErrorBakData = ConnectHelper.GetLatelyOneHourValue("120s", out string error);
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select.BakData = JsonHelper.Object2Json(ErrorBakData);
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LogHelper.Info("准备修改数据库");
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_bll.Update(select);
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LogHelper.Info("众毅获取数据出现问题>>>>" + JsonHelper.Object2Json(ErrorBakData));
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}
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LogHelper.Info("开始获取历史数据");
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//开始进行预测
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var beforeTwoDays = _bll.GetEnd2Days(350);
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var beforedata = beforeTwoDays.Where(x => x.DayHour <= dayHour).Take(240).ToList();
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List<Tuple<DateTime, double>> tupleList = beforedata
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.Select(input =>
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{
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var dateTime = WaterPredictRecord.ConvertDatatime(input.DayHour);
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return Tuple.Create(dateTime, (double)input.RealDifferenceValue);
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}).ToList(); //转换为SSA算法所需入参
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tupleList = tupleList.OrderBy(x => x.Item1).ToList(); //按照时间进行排序
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var predictdata = _SSAPredictHelper.Predict(tupleList, 3600, 10, 2880, (float)0.99, 24);
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var starthour = int.Parse(string.Format("{0:00}{1:00}{2:00}", DateTime.Now.Month, DateTime.Now.Day, 0));
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var endhour = int.Parse(string.Format("{0:00}{1:00}{2:00}", DateTime.Now.Month, DateTime.Now.Day, 23));
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var currentdata = twoDaysList.Where(x => x.DayHour >= starthour && x.DayHour <= endhour).OrderBy(x => x.DayHour).ToList();
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if (currentdata.Count == 24)
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{
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for (int i = 0; i < currentdata.Count; i++)
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{
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currentdata[i].LastPredictValue = Math.Round(predictdata[i].Total, 0);
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if (currentdata[i].LastPredictValue > 90000 || currentdata[i].LastPredictValue < 20000)
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{
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currentdata[i].Description += ",时间:" + DateTime.Now.ToString("HH:mm") + "预测数据偏差过大";
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var realScadaDatas = ConnectHelper.GetLatelyOneHourValue("120s", out string error);
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currentdata[i].BakData += JsonHelper.Object2Json(realScadaDatas);
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currentdata[i].States = 0;
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}
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else
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{
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if (currentdata[i].States == 0)
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{
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currentdata[i].States = 0;
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}
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else
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{
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currentdata[i].States = 1;
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}
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}
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currentdata[i].LastPredictTime = DateTime.Now;
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currentdata[i].PredictValueList = currentdata[i].LastPredictValue.ToString() + "," + currentdata[i].PredictValueList;
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}
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}
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else
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{
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LogHelper.Info("今天一天的数据小于24条 ---不全");
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}
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LogHelper.Info("开始替换真实数据");
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_bll.BatSet(currentdata);
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LogHelper.Info("已经替换真实数据");
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return null;
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}
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//预测两天数据(今天和明天)
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public void insert2daysPredictData()
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{
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List<WaterPredictRecord> waterPredictRecords = new List<WaterPredictRecord>();
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List<SSAInput> ssaInput = new List<SSAInput>();
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var alllist = _bll.GetEnd2Days(300);
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var lastdaystarthour = int.Parse(string.Format("{0:00}{1:00}{2:00}", DateTime.Today.AddDays(-1).Month, DateTime.Today.AddDays(-1).Day, 0));
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var lastdayendhour = int.Parse(string.Format("{0:00}{1:00}{2:00}", DateTime.Today.AddDays(-1).Month, DateTime.Today.AddDays(-1).Day, 23));
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var selectList = alllist.Where(x => x.DayHour <= lastdayendhour).ToList().Take(240);
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foreach (var item in selectList)
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{
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var dateTime = WaterPredictRecord.ConvertDatatime(item.DayHour);
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ssaInput.Add(new SSAInput { Time = dateTime, Value = (float)item.RealDifferenceValue });
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}
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ssaInput = ssaInput.OrderBy(x => x.Time).ToList();
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List<Tuple<DateTime, double>> tupleList = ssaInput
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.Select(input => Tuple.Create(input.Time, (double)input.Value))
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.ToList();
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var predictdata = _SSAPredictHelper.Predict(tupleList, 3600, 10, 2880, (float)0.99, 48);
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var list = alllist.Where(x => x.DayHour >= lastdaystarthour + 100 && x.DayHour <= lastdayendhour + 100).OrderBy(x => x.DayHour).ToList();
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//找到今天所有的预测数据,并替换
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if (list.Count == 0 || list.Count < 24)
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{
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LogHelper.Info("替换当日完整预测数据时找不到对应时间--");
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for (int i = 24; i < predictdata.Count; i++)
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{
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int dayHour = int.Parse(string.Format("{0:00}{1:00}{2:00}", predictdata[i].DateTime.Month, predictdata[i].DateTime.Day, predictdata[i].DateTime.Hour));
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list.Add(new WaterPredictRecord { DayHour = dayHour, PredictTime = DateTime.Now, LastPredictValue = Math.Round(predictdata[i].Total, 0), States = 1 });
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}
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_bll.BatSet(list);
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LogHelper.Info("时间:" + DateTime.Now + "---预测明天数据");
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return;
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}
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if (list.Count == 24)
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{
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for (int i = 0; i < predictdata.Count; i++)
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{
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if (i < 24)
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{
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list[i].LastPredictTime = DateTime.Now;
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list[i].LastPredictValue = Math.Round(predictdata[i].Total, 0);
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list[i].PredictValueList = list[i].LastPredictValue.ToString() + "," + list[i].PredictValueList;
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list[i].States = 1;
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}
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else
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{
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int dayHour = int.Parse(string.Format("{0:00}{1:00}{2:00}", predictdata[i].DateTime.Month, predictdata[i].DateTime.Day, predictdata[i].DateTime.Hour));
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list.Add(new WaterPredictRecord { DayHour = dayHour, PredictTime = DateTime.Now, LastPredictValue = Math.Round(predictdata[i].Total, 0), States = 1 });
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}
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}
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_bll.BatSet(list);
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LogHelper.Info("时间:" + DateTime.Now + "---预测今明两天数据");
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}
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/* _bll.BatSet(list);
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LogHelper.Info("时间:" + DateTime.Now + "---预测今明两天数据");*/
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}
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}
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}
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