blob: 1eff213eeda35d0daa20d6abb85a2f91423ecff3 (
plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
|
using System;
using System.Collections.Generic;
using System.ComponentModel;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
using Tango.DispenserAnalyzer.UI.Analysis;
using Tango.DispenserAnalyzer.UI.Models;
using MathNet.Numerics.LinearAlgebra;
using System.Linq.Expressions;
using System.Diagnostics;
using OxyPlot;
using System.Collections.ObjectModel;
namespace Tango.DispenserAnalyzer.UI.Analyzers
{
[Analyzer("flow")]
public class FlowAnalyser : IAnalyzer
{
public Task<List<IAnalyzerResult>> Process(List<DispenserSample> csvRows)
{
return Task.Factory.StartNew<List<IAnalyzerResult>>(() =>
{
List<IAnalyzerResult> results = new List<IAnalyzerResult>();
List<DispenserSample> commands = csvRows.Where(x => x.Command != null && x.Command.ToLower().Contains("label")).ToList<DispenserSample>();
var pairs = commands.Select((x, i) => new { Index = i, Value = x }).GroupBy(x => x.Index / 2).Select(x => x.Select(v => v.Value).ToList()).ToList();
MovingAverageFilter filter = new MovingAverageFilter();
for (int index = 0; index < pairs.Count(); index++)
{
var pair = pairs[index];
if (pair.Count != 2)
continue;
List<DispenserSample> rangeTestValues = csvRows.Where(x => x.Index > pair[0].Index && x.Index < pair[1].Index).ToList();
if (index % 2 == 1)//testing Flow-error
{
List<DispenserSample> filteredValues = rangeTestValues.Skip(1800).ToList();
//Move Average data
List<Task> tasks = new List<Task>();
int calc_count = (int)filteredValues.Count() / 4;
int start_index = 0;
while (start_index < filteredValues.Count())
{
int calc_amount = (start_index + calc_count) >= (filteredValues.Count() - 4) ? filteredValues.Count() - start_index : calc_count;
var source_filter = filteredValues.Skip(start_index).Take(calc_amount).ToList();
tasks.Add(Task.Run(() =>
{
filter.Filtering(source_filter);
}));
start_index += calc_amount;
}
Task.WaitAll(tasks.ToArray());
//calculate difference Max Min values for each 300 values
int periodCalcMaxMin = 500;
List<int> differenceMaxMin = new List<int>();
List<int> differenceMaxMinToLocationArr = new List<int>();
int location_index = 0;
for (int i = 0; i < (filteredValues.Count - periodCalcMaxMin); i+= 300)
{
var rangeItems =(filteredValues.Skip(i).Take(periodCalcMaxMin).ToList());
int range = (int)(rangeItems.Max(t => t.Pressure) - rangeItems.Min(t => t.Pressure));
differenceMaxMin.Add(range);
differenceMaxMinToLocationArr.Add(++location_index);
}
FlowAverageAnalyzerResult averageResult = new FlowAverageAnalyzerResult();
averageResult.AverageValue = filteredValues.Average(t => t.Pressure);
averageResult.Result = (averageResult.AverageValue <= 1850 && averageResult.AverageValue >= 1400) ? AnalyzerResultValue.Passed : AnalyzerResultValue.Failed;
results.Add(averageResult);
FlowAnalyzerResult result = new FlowAnalyzerResult();
result.AverageValue = averageResult.AverageValue;
result.SetLocalErrors(differenceMaxMin, differenceMaxMinToLocationArr);
results.Add(result);
}
else//testing PBU
{
PrimingAnalyzerResult result = new PrimingAnalyzerResult();
int avgMinIndex = rangeTestValues.Select(x => x.Index).Min();
int avgMaxIndex = rangeTestValues.Select(x => x.Index).Max();
double totalsec = TimeSpan.FromMilliseconds((avgMaxIndex - avgMinIndex) * 100).TotalSeconds;
result.Time = totalsec.ToString() + " sec (succeed for period < 4.5)"; ;
result.Result = (totalsec < 4.5) ? AnalyzerResultValue.Passed : AnalyzerResultValue.Failed;
results.Add(result);
}
}
return results;
});
}
public class FlowAverageAnalyzerResult : AnalyzerResultBase
{
[Description("Average Value")]
public double AverageValue { get; set; }
public FlowAverageAnalyzerResult() : base()
{
AverageValue = 0.0;
Result = AnalyzerResultValue.Undetermined;
}
}
public class FlowAnalyzerResult : AnalyzerResultBase
{
#region Properties
[Description("Max Error")]
public string LocalErrors { get; set; }
public double AverageValue { get; set; }
#endregion Properties
public FlowAnalyzerResult():base()
{
AverageValue = 0.0;
Result = AnalyzerResultValue.Undetermined;
//this.Points = new ObservableCollection<DataPoint>();
}
/// <summary>
/// Calculate result, max error. Set oxy plot column chart.
/// </summary>
/// <param name="differenceMaxMin">The difference maximum minimum.</param>
public void SetLocalErrors(List<int> differenceMaxMin, List<int> differenceMaxMinToLocationArr)
{
// int count = differenceMaxMin.Where(x => x > 25 ).Count();
int max_key = FindMaxErrorObject(differenceMaxMin);
var points = RangeToCountChart.Points;
points.Clear();
for (int i = 0; i <= max_key; i++)
{
int val = differenceMaxMin.Count(x => x == i);
if(val > 0 || points.Count > 0)
{
points.Add(new DataPoint(i, val));
}
}
this.IsShowPlotResult = true;
RangeToCountChart.UpdateData();
var rangeToTimePoints = RangeToTimeChart.Points;
rangeToTimePoints.Clear();
for(int y = 0; y < differenceMaxMinToLocationArr.Count && y < differenceMaxMin.Count; y++)
{
rangeToTimePoints.Add(new DataPoint(differenceMaxMinToLocationArr.ElementAt(y), differenceMaxMin.ElementAt(y)));
}
RangeToTimeChart.UpdateData();
}
private double BuildMeasurementError(List<int> range_values)
{
int count = range_values.Count();
return (count - (count * 0.99));
}
/// <summary>
/// Finds the maximum error object. Init LocalErrors message. Return max range value.
/// </summary>
private int FindMaxErrorObject(List<int> range_values)
{
var countValArr = range_values.GroupBy(x => x).Select(t => new { Key = t.Key, Value = t.Count() }).OrderBy(x=>x.Key).ToArray();
double merror = BuildMeasurementError(range_values);
double sum = 0;
int max_key = 0;
int range = 0;
for (int i = countValArr.Count() - 1; i >= 0; i--)
{
sum += countValArr[i].Value;
if (max_key == 0)
max_key = (int)countValArr[i].Key;
if (sum >= merror)
{
double persentageOfError = countValArr[i].Key / AverageValue * 100;
range = (int)countValArr[i].Key;
int occurrence = countValArr[i].Value;
LocalErrors = $" {persentageOfError.ToString("F2")}% where range = {range.ToString()} and occurrence = {occurrence.ToString()}";
break;
}
}
//Result = (range <= 25 && range >= 20) ? AnalyzerResultValue.Passed : AnalyzerResultValue.Failed;
var res = range / AverageValue * 100;
Result = res < 1.3 ? AnalyzerResultValue.Passed : AnalyzerResultValue.Failed;
return max_key;
}
}
public class MovingAverageFilter
{
public MovingAverageFilter()
{
}
public void Filtering(List<DispenserSample> source)
{
int periodAverage = 5;
for (int i = 0; i < (source.Count - 5); i++)
{
source[i].Pressure = source.Skip(i).Take(periodAverage).Average(x => x.Pressure);
}
}
}
}
}
|
