From 8c68ab4be4bff7981e745cc2b41c7bba5257a2d3 Mon Sep 17 00:00:00 2001
From: ningshuxia <ningshuxia0927@outlook.com>
Date: 星期三, 16 四月 2025 20:37:38 +0800
Subject: [PATCH] 流量偏差 辅助类
---
01-api/_Expand/IStation.Win.Schedule/bjMain.cs | 89 +++++++++++++++++++++++---------------------
1 files changed, 46 insertions(+), 43 deletions(-)
diff --git a/01-api/_Expand/IStation.Win.Schedule/bjMain.cs b/01-api/_Expand/IStation.Win.Schedule/bjMain.cs
index 8f2144d..3fda114 100644
--- a/01-api/_Expand/IStation.Win.Schedule/bjMain.cs
+++ b/01-api/_Expand/IStation.Win.Schedule/bjMain.cs
@@ -83,8 +83,8 @@
{
return;
}
- var deline = new DateTime(2024,12,1);
- var deline2 = new DateTime(2025,1,1);
+ var deline = new DateTime(2025,2,12);
+ var deline2 = new DateTime(2025,5,1);
var time_list = _schedule_request_list.Where(x=>x.ReceptionTime>=deline&&x.ReceptionTime<= deline2).Select(x => x.ReceptionTime).OrderBy(x => x).ToList();
foreach (var item in time_list)
@@ -157,57 +157,60 @@
}
}
+ double station2_target_flow_diff = 0;
if (this.barCekCalcFlowDiff.Checked)
{
- var ptList = new List<CurvePoint>();
- try
- {
- var filePath = @"D:\WorkCode\Project\ChDt1\Schedule.Ch.V1.0\02-desktop\Desktop\IStation.Test\bin\Debug\net6.0-windows\stationcsv\characteristic_curve.csv";
- using (StreamReader reader = new StreamReader(filePath))
- {
- reader.ReadLine();
- string line;
- while ((line = reader.ReadLine()) != null)
- {
- // 鎸夐�楀彿鍒嗛殧姣忎竴琛�
- string[] values = line.Split(',');
- var xStr = values[0];
- var yStr = values[1];
+ station2_target_flow_diff = new Service.FlowDeviation().GetFlowDiff(target_pressure2);
+ AlertTool.ShowInfo(this, "棰勬祴娴侀噺缂哄け", $"{station2_target_flow_diff:N1}");
+ //var ptList = new List<CurvePoint>();
+ //try
+ //{
+ // var filePath = @"D:\WorkCode\Project\ChDt1\Schedule.Ch.V1.0\02-desktop\Desktop\IStation.Test\bin\Debug\net6.0-windows\stationcsv\characteristic_curve.csv";
+ // using (StreamReader reader = new StreamReader(filePath))
+ // {
+ // reader.ReadLine();
+ // string line;
+ // while ((line = reader.ReadLine()) != null)
+ // {
+ // // 鎸夐�楀彿鍒嗛殧姣忎竴琛�
+ // string[] values = line.Split(',');
+ // var xStr = values[0];
+ // var yStr = values[1];
- var pX = double.Parse(xStr);
- var pY = double.Parse(yStr);
+ // var pX = double.Parse(xStr);
+ // var pY = double.Parse(yStr);
- pY = Math.Abs(pY);
- ptList.Add(new CurvePoint(pX, pY));
+ // pY = Math.Abs(pY);
+ // ptList.Add(new CurvePoint(pX, pY));
- }
- }
- }
- catch (Exception ex)
- {
- Console.WriteLine("璇诲彇鏂囦欢鏃跺嚭閿�: " + ex.Message);
- }
+ // }
+ // }
+ //}
+ //catch (Exception ex)
+ //{
+ // Console.WriteLine("璇诲彇鏂囦欢鏃跺嚭閿�: " + ex.Message);
+ //}
- var x = ptList.Select(x => x.X).ToArray();
- var y = ptList.Select(x => x.Y).ToArray();
+ //var x = ptList.Select(x => x.X).ToArray();
+ //var y = ptList.Select(x => x.Y).ToArray();
- // 澶氶」寮忓洖褰掔殑闃舵暟锛堜緥濡傦紝浜屾澶氶」寮忥級
- int degree = 3;
+ //// 澶氶」寮忓洖褰掔殑闃舵暟锛堜緥濡傦紝浜屾澶氶」寮忥級
+ //int degree = 3;
- // 鎷熷悎澶氶」寮忓洖褰掓ā鍨�
- double[] coefficients = NonlinearRegressionHelper.FitPolynomial(x, y, degree);
+ //// 鎷熷悎澶氶」寮忓洖褰掓ā鍨�
+ //double[] coefficients = NonlinearRegressionHelper.FitPolynomial(x, y, degree);
- // 浣跨敤妯″瀷杩涜棰勬祴
- double xNew = target_pressure2;
- double yPredicted = NonlinearRegressionHelper.PredictPolynomial(xNew, coefficients);
+ //// 浣跨敤妯″瀷杩涜棰勬祴
+ //double xNew = target_pressure2;
+ //double yPredicted = NonlinearRegressionHelper.PredictPolynomial(xNew, coefficients);
- target_flow2 += yPredicted;
- AlertTool.ShowInfo(this, "棰勬祴娴侀噺缂哄け", $"{yPredicted:N1}");
-
+ //station2_target_flow_diff = yPredicted;
+ //AlertTool.ShowInfo(this, "棰勬祴娴侀噺缂哄け", $"{yPredicted:N1}");
- // 璁＄畻 R虏 鍜� MSE
- double rSquared = NonlinearRegressionHelper.CalculateRSquared(x, y, coefficients);
- double mse = NonlinearRegressionHelper.CalculateMSE(x, y, coefficients);
+
+ //// 璁＄畻 R虏 鍜� MSE
+ //double rSquared = NonlinearRegressionHelper.CalculateRSquared(x, y, coefficients);
+ //double mse = NonlinearRegressionHelper.CalculateMSE(x, y, coefficients);
}
@@ -221,7 +224,7 @@
helper.Initial(station1_open_flag_list, station1_schedule_config, analysis_deviation_list);
var optimal_combine1 = helper.GetOptAnaCombine(station1, station1_flag_inlet_water_level_dict, target_flow1, target_pressure1);
- helper.Initial(station2_open_flag_list, station2_schedule_config, analysis_deviation_list);
+ helper.Initial(station2_open_flag_list, station2_schedule_config, analysis_deviation_list, station2_target_flow_diff);
var optimal_combine2 = helper.GetOptAnaCombine(station2, station2_flag_inlet_water_level_dict, target_flow2, target_pressure2);
conclusion_list = new List<Model.ScheduleConclusion>();
--
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