using System;
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using System.Collections.Generic;
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using System.Linq;
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using System.Text;
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using System.Threading.Tasks;
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namespace IStation.Calculation
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{
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/// <summary>
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/// 能效汇总单时辅助类
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/// </summary>
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public class EtaSumSingleHourHelper
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{
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/// <summary>
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/// 汇总
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/// </summary>
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/// <returns></returns>
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public static List<Model.EtaSumSingleHourRecord> Sum
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(
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long CorpID,
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string ObjectType,
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long ObjectID,
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DateTime Day,
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IEnumerable<Model.EtaSingleRealRecord> records
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)
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{
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if (records == null || records.Count() < 1)
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return default;
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var run_record_list = records.Where(x => x.RSa == RunStatus.Run).ToList();
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var result = new List<Model.EtaSumSingleHourRecord>();
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for (int i = 0; i < 24; i++)
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{
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var run_hour_record_list = run_record_list.Where(x => x.DataTime >= Day.Date.AddHours(i) && x.DataTime < Day.Date.AddHours(i + 1)).ToList();
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var run_normal_hour_record_list = run_hour_record_list.Where(x => x.AnalyStatus == Model.Eta.eAnalyStatus.Normal).ToList();
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var model = new Model.EtaSumSingleHourRecord();
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model.CorpID = CorpID;
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model.ObjectType = ObjectType;
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model.ObjectID = ObjectID;
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model.DataDay = Day.Date;
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model.DataHour = i + 1;
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model.DataTime = DateTime.Now;
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model.Qt=run_hour_record_list.Sum(x => (x.Qa ?? 0) * x.Duration) / 3600f;
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model.Dt = run_hour_record_list.Sum(x => (x.Pa ?? 0) * x.Duration) / 3600f;
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model.RunTime = run_hour_record_list.Sum(x => x.Duration);
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model.PointCount = run_hour_record_list.Count;
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if (run_normal_hour_record_list.Count > 0)
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{
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model.Qmin = run_normal_hour_record_list.Min(x=>x.Qa.Value);
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model.Qmax = run_normal_hour_record_list.Max(x => x.Qa.Value);
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model.Qavg = run_normal_hour_record_list.Average(x => x.Qa.Value);
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model.Hmin = run_normal_hour_record_list.Min(x=>x.Ha.Value);
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model.Hmax= run_normal_hour_record_list.Max(x=>x.Ha.Value);
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model.Havg= run_normal_hour_record_list.Average(x=>x.Ha.Value);
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model.Emin= run_normal_hour_record_list.Min(x=>x.Ea.Value);
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model.Emax= run_normal_hour_record_list.Max(x=>x.Ea.Value);
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model.Eavg= run_normal_hour_record_list.Average(x=>x.Ea.Value);
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model.Pmin= run_normal_hour_record_list.Min(x=>x.Pa.Value);
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model.Pmax= run_normal_hour_record_list.Max(x=>x.Pa.Value);
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model.Pavg= run_normal_hour_record_list.Average(x=>x.Pa.Value);
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model.WPmin= run_normal_hour_record_list.Min(x=>x.WPa.Value);
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model.WPmax = run_normal_hour_record_list.Max(x=>x.WPa.Value);
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model.WPavg = run_normal_hour_record_list.Average(x=>x.WPa.Value);
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model.UWPmin = run_normal_hour_record_list.Min(x=>x.UWPa.Value);
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model.UWPmax = run_normal_hour_record_list.Max(x=>x.UWPa.Value);
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model.UWPavg = run_normal_hour_record_list.Average(x=>x.UWPa.Value);
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}
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if (run_hour_record_list.Count > 1)
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{
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var run_hour_boot_list = run_hour_record_list.OrderBy(x => x.DataTime).ToList();
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for (int j = 1; j < run_hour_boot_list.Count; j++)
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{
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if ((run_hour_boot_list[j].DataTime - run_hour_boot_list[j - 1].DataTime).TotalSeconds > 5 * run_hour_boot_list[j].Duration)
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{
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model.BootTimes += 1;
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}
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}
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}
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result.Add(model);
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}
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return result;
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}
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}
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}
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