using System;
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using System.Collections.Generic;
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using System.ComponentModel;
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using System.Data;
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using System.Drawing;
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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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using System.Windows.Forms;
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using System.IO;
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using Bro.Common;
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using Bro.Common.Util;
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using System.Configuration;
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namespace P066.Data
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{
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public partial class Form1 : Form
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{
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DirectoryInfo directoryInfo1;
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DirectoryInfo directoryInfo2;
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DirectoryInfo directoryInfo3;
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DirectoryInfo directoryInfo4;
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private P066RunParam runparam = new P066RunParam();
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private ReadFile readfile = new ReadFile();
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private WriteFile writefile = new WriteFile();
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public Form1()
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{
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InitializeComponent();
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//ConfigHelper.Save(@"D:\P066-Data\P066XML\1.xml", runparam);
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var configuraPath = Environment.CurrentDirectory+ "\\Config\\Jin_Mid.xml";
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runparam = ConfigHelper.Load<P066RunParam>(configuraPath);
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}
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private void btnLoadData1_Click(object sender, EventArgs e)
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{
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if (folderBrowserDialog1.ShowDialog() != DialogResult.OK)
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return;
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directoryInfo1 = new DirectoryInfo(folderBrowserDialog1.SelectedPath);
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}
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private void btnLoadData2_Click(object sender, EventArgs e)
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{
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if (folderBrowserDialog1.ShowDialog() != DialogResult.OK)
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return;
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directoryInfo2 = new DirectoryInfo(folderBrowserDialog1.SelectedPath);
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}
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private void btnLoadData3_Click(object sender, EventArgs e)
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{
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if (folderBrowserDialog1.ShowDialog()!=DialogResult.OK)
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{
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return;
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}
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directoryInfo3 = new DirectoryInfo(folderBrowserDialog1.SelectedPath);
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}
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private void butPictur_Click(object sender, EventArgs e)
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{
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if (folderBrowserDialog1.ShowDialog()!=DialogResult.OK)
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{
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return;
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}
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directoryInfo4 = new DirectoryInfo(folderBrowserDialog1.SelectedPath);
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}
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private void btnAnalyze_Click(object sender, EventArgs e)
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{
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var Start = DateTime.Now;
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#region 读取文件夹下的所有文件，并将文件按照上下进行区分;上表格为fileInfo1，下表格为fileInfo2
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List<FileInfo> fileInfo1 = new List<FileInfo>();
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List<FileInfo> fileInfo2 = new List<FileInfo>();
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List<FileInfo> fileInfo3 = new List<FileInfo>();
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List<FileInfo> fileInfo4 = new List<FileInfo>();
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Task task1 = new Task(() =>
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{
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if (directoryInfo1 != null)
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{
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GentClassificationFile(directoryInfo1, out List<FileInfo> FileInfo1, out List<FileInfo> FileInfo2); //fileInfo1复检上文件夹，fileInfo2复检下文件夹
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fileInfo1 = FileInfo1;
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fileInfo2 = FileInfo2;
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}
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if (directoryInfo3 != null)
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{
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GentClassificationFile(directoryInfo3, out List<FileInfo> FileInfo3, out List<FileInfo> FileInfo4); //fileInfo3初检上文件夹，fileInfo4初检下文件夹
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fileInfo3 = FileInfo3;
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fileInfo4 = FileInfo4;
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}
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});
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task1.Start();
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task1.Wait();
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#endregion
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var ListReexaminationSum = new List<ResultData>(); //复检报表数据
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var ListPreliminarySum = new List<ResultData>(); //初检报表数据
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string filenameDir = "";
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int ScratchI = 0;
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int ZoomI = 0;
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#region 读取一个表格中所有时间戳并排序
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var dataList = GetFileData(fileInfo1[0]);
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var dataGroup = dataList.GroupBy(a => a.TimeTip);
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var DataTipsor = new List<string>(); //白夜班总时间戳
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var DataNightTipsor = new List<string>(); //夜班时间戳
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var DataDayTipsor = new List<string>(); //白天时间戳
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foreach (var item in dataGroup)
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{
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int.TryParse(item.Key, out int start);
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DataTipsor.Add(item.Key);
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if (start > 80000)
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{
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DataDayTipsor.Add(item.Key);
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}
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else
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{
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DataNightTipsor.Add(item.Key);
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}
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}
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DataTipsor.Distinct().ToList().Sort();
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DataDayTipsor.Distinct().ToList().Sort();
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DataNightTipsor.Distinct().ToList().Sort();
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#endregion
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#region 读取划伤、镀膜破损文件夹文件
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if (directoryInfo2 != null)
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{
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var fileinfos22 = directoryInfo2.GetFiles().ToList().FindAll(a=>a.Extension==".csv");
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for (int i = 0; i < fileinfos22.Count; i++)
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{
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var list = GetFileData(fileinfos22[i]);
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if (fileinfos22[i].Name.Contains("划伤"))
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{
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//ScratchI++;
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//list.ForEach(a => a.Lensnumber = ScratchI);
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GetMaxSize(list);
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GetBkLocation(list);
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ListReexaminationSum.AddRange(list);
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}
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else if (fileinfos22[i].Name.Contains("镀膜破损"))
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{
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//ZoomI++;
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//list.ForEach(a => a.Lensnumber = ZoomI);
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ListReexaminationSum.AddRange(list);
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}
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}
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directoryInfo2 = null;
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}
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#endregion
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var tt1 =DateTime.Now;
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var taskReexamination = Task.Run (() =>
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{
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//复检报表
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ListReexaminationSum.AddRange(GetClassificationLens(fileInfo1, fileInfo2, DataTipsor));
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});
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var taskPreliminary = Task.Run(() =>
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{
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//初检报表
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ListPreliminarySum.AddRange(GetClassificationLens(fileInfo3, fileInfo4, DataTipsor)); //合并初检上下报表，输出合并后数据
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});
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taskReexamination.Wait();
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//夜班
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var taskNight= Task.Run(() =>
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{
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#region//将夜班设备判断结果输出到CSV报表中
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//ListReexaminationSum.AddRange(GetClassificationLens(fileInfo1, fileInfo2, DataTipsor));
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var title12 = $"时间戳,相机序号,设备判断结果,缺陷类型,设备后处理结果,最大尺寸,位置,X,Y,R,角度";
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var file12 = $"{directoryInfo1.Parent.FullName}\\{filenameDir + "夜班设备判断结果"}.csv";
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File.AppendAllText(file12, title12, Encoding.UTF8);
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File.AppendAllText(file12, "\r\n");
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foreach (var item in DataNightTipsor)
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{
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var Lens1 = ListReexaminationSum.FindAll(a => a.TimeTip == item && a.Lensnumber == 1);
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writefile.WriteJR(Lens1, item, 1, file12);
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for (int i = 2; i < 5; i++)
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{
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var Lens = ListReexaminationSum.FindAll(a => a.TimeTip == item && a.Lensnumber == i);
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writefile.WriteJR(Lens, "", i, file12);
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}
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}
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#endregion
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});
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//白班
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var taskDay = Task.Run(() =>
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{
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#region//将夜班设备判断结果输出到CSV报表中
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//ListReexaminationSum.AddRange(GetClassificationLens(fileInfo1, fileInfo2, DataTipsor));
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var title12 = $"时间戳,相机序号,设备判断结果,缺陷类型,设备后处理结果,最大尺寸,位置,X,Y,R,角度";
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var file12 = $"{directoryInfo1.Parent.FullName}\\{filenameDir + "白班班设备判断结果"}.csv";
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File.AppendAllText(file12, title12, Encoding.UTF8);
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File.AppendAllText(file12, "\r\n");
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foreach (var item in DataDayTipsor)
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{
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var Lens1 = ListReexaminationSum.FindAll(a => a.TimeTip == item && a.Lensnumber == 1);
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writefile.WriteJR(Lens1, item, 1, file12);
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for (int i = 2; i < 5; i++)
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{
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var Lens = ListReexaminationSum.FindAll(a => a.TimeTip == item && a.Lensnumber == i);
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writefile.WriteJR(Lens, "", i, file12);
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}
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}
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#endregion
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});
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if (directoryInfo4!=null)
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{
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Task.Run(() =>
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{
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List<string> listPicyreSor = new List<string>(); //加载图片时间戳
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var directoties = directoryInfo4.GetDirectories();
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for (int i = 0; i < directoties.Length; i++)
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{
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listPicyreSor.Add(directoties[i].Name);
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}
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listPicyreSor.Sort();
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#region//将设备判断结果输出到CSV报表中
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//ListReexaminationSum.AddRange(GetClassificationLens(fileInfo1, fileInfo2, DataTipsor));
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var title12 = $"时间戳,相机序号,设备判断结果,缺陷类型,设备后处理结果,最大尺寸,位置,X,Y,R,角度";
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var file12 = $"{directoryInfo1.Parent.FullName}\\{filenameDir + "设备检索结果"}.csv";
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File.AppendAllText(file12, title12, Encoding.UTF8);
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File.AppendAllText(file12, "\r\n");
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foreach (var item in listPicyreSor)
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{
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var Lens1 = ListReexaminationSum.FindAll(a => a.TimeTip == item && a.Lensnumber == 1);
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writefile.WriteJR(Lens1, item, 1, file12);
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for (int i = 2; i < 5; i++)
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{
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var Lens = ListReexaminationSum.FindAll(a => a.TimeTip == item && a.Lensnumber == i);
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writefile.WriteJR(Lens, "", i, file12);
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}
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}
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});
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}
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taskPreliminary.Wait();
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var task6 = Task.Run(() =>
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{
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#region//根据产品编号输出总缺陷报表
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if (directoryInfo3 != null)
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{
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List<ResultData> ListNoClearNub = new List<ResultData>(); //清除失败数
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List<ResultData> ListMayNub = new List<ResultData>(); //复检多检出数数
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CompareFile2(ListReexaminationSum, ListPreliminarySum, DataNightTipsor, out ListNoClearNub, out ListMayNub);
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var title = $"产品编号,镜头编号,总缺陷数量,设备清除数,未清除数,复检多检出数";
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var file = $"{directoryInfo1.Parent.FullName}\\{filenameDir + "夜班缺陷总数报表"}.csv";
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File.AppendAllText(file, title, Encoding.UTF8);
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File.AppendAllText(file, "\r\n");
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#region 夜班
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foreach (var item in DataNightTipsor)
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{
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//总缺陷数
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var ListLenSum1 = ListPreliminarySum.FindAll(a => a.TimeTip == item && a.Lensnumber == 1 && a.DefectType == "白点" && !a.Result);
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var listlensum1 = ListLenSum1.Count;
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//未清除数
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var ListLenNoClearSum1 = ListNoClearNub.FindAll(a => a.TimeTip == item && a.Lensnumber == 1 && a.DefectType == "白点" && !a.Result);
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var listlennoclearsum1 = ListLenNoClearSum1.Count;
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//设备清除数
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var listlenclearsum1 = listlensum1 - listlennoclearsum1;
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//复检多检出数
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var ListLenMaySum1 = ListMayNub.FindAll(a => a.TimeTip == item && a.Lensnumber == 1 && a.DefectType == "白点" && !a.Result);
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var listlenmaysum1 = ListLenMaySum1.Count;
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var content1 = $"{item},{1},{listlensum1},{listlenclearsum1},{listlennoclearsum1},{listlenmaysum1}";
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File.AppendAllText(file, content1, Encoding.UTF8);
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File.AppendAllText(file, "\r\n");
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for (int i = 2; i < 5; i++)
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{
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//总缺陷数
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var ListLenSum = ListPreliminarySum.FindAll(a => a.TimeTip == item && a.Lensnumber == i && a.DefectType == "白点" && !a.Result);
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var listlensum = ListLenSum.Count;
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//未清除数
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var ListLenNoClearSum = ListNoClearNub.FindAll(a => a.TimeTip == item && a.Lensnumber == i && a.DefectType == "白点" && !a.Result);
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var listlennoclearsum = ListLenNoClearSum.Count;
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//设备清除数
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var listlenclearsum = listlensum - listlennoclearsum;
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//复检多检出数
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var ListLenMaySum = ListMayNub.FindAll(a => a.TimeTip == item && a.Lensnumber == i && a.DefectType == "白点" && !a.Result);
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var listlenmaysum = ListLenMaySum.Count;
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var content = $"{""},{i},{listlensum},{listlenclearsum},{listlennoclearsum},{listlenmaysum}";
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File.AppendAllText(file, content, Encoding.UTF8);
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File.AppendAllText(file, "\r\n");
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}
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}
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var title1 = $"镜头编号,总缺陷数量,设备清除数,清除率";
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var file1 = $"{directoryInfo1.Parent.FullName}\\{filenameDir + "夜班缺陷总数报表"}.csv";
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File.AppendAllText(file1, title1, Encoding.UTF8);
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File.AppendAllText(file1, "\r\n");
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for (int i =1; i < 5; i++)
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{
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//初检缺陷数
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var ListLenSum1 = ListPreliminarySum.FindAll(a => a.Lensnumber ==i && a.DefectType == "白点" && !a.Result);
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var listlensum1 = ListLenSum1.Count;
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//复检多检出数
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var ListLenMaySum1 = ListMayNub.FindAll(a=> a.Lensnumber ==i&& a.DefectType == "白点" && !a.Result);
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var listlenmaysum1 = ListLenMaySum1.Count;
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//总缺陷数
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var defectSum = listlenmaysum1 + listlensum1;
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//除尘数
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var ListLenNoClearSum1 = ListNoClearNub.FindAll(a => a.Lensnumber == i && a.DefectType == "白点" && !a.Result);
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var listlennoclearsum1 = ListLenNoClearSum1.Count;
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var defectClearSum = listlensum1 - listlennoclearsum1;
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var content1 = $"{i},{defectSum},{defectClearSum},{(double)(defectSum / defectClearSum)}";
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File.AppendAllText(file1, content1, Encoding.UTF8);
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File.AppendAllText(file1, "\r\n");
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}
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#endregion
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directoryInfo3 = null;
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}
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#endregion
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});
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var task7 = Task.Run(() =>
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{
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#region//根据产品编号输出总缺陷报表
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if (directoryInfo3 != null)
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{
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List<ResultData> ListNoClearNub = new List<ResultData>(); //清除失败数
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List<ResultData> ListMayNub = new List<ResultData>(); //复检多检出数数
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CompareFile2(ListReexaminationSum, ListPreliminarySum, DataDayTipsor, out ListNoClearNub, out ListMayNub);
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var title = $"产品编号,镜头编号,总缺陷数量,设备清除数,未清除数,复检多检出数";
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var file = $"{directoryInfo1.Parent.FullName}\\{filenameDir + "白班缺陷总数报表"}.csv";
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File.AppendAllText(file, title, Encoding.UTF8);
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File.AppendAllText(file, "\r\n");
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#region 夜班
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foreach (var item in DataDayTipsor)
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{
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//总缺陷数
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var ListLenSum1 = ListPreliminarySum.FindAll(a => a.TimeTip == item && a.Lensnumber == 1 && a.DefectType == "白点" && !a.Result);
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var listlensum1 = ListLenSum1.Count;
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//未清除数
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var ListLenNoClearSum1 = ListNoClearNub.FindAll(a => a.TimeTip == item && a.Lensnumber == 1 && a.DefectType == "白点" && !a.Result);
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var listlennoclearsum1 = ListLenNoClearSum1.Count;
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//设备清除数
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var listlenclearsum1 = listlensum1 - listlennoclearsum1;
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//复检多检出数
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var ListLenMaySum1 = ListMayNub.FindAll(a => a.TimeTip == item && a.Lensnumber == 1 && a.DefectType == "白点" && !a.Result);
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var listlenmaysum1 = ListLenMaySum1.Count;
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var content1 = $"{item},{1},{listlensum1},{listlenclearsum1},{listlennoclearsum1},{listlenmaysum1}";
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File.AppendAllText(file, content1, Encoding.UTF8);
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File.AppendAllText(file, "\r\n");
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for (int i = 2; i < 5; i++)
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{
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//总缺陷数
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var ListLenSum = ListPreliminarySum.FindAll(a => a.TimeTip == item && a.Lensnumber == i && a.DefectType == "白点" && !a.Result);
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var listlensum = ListLenSum.Count;
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//未清除数
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var ListLenNoClearSum = ListNoClearNub.FindAll(a => a.TimeTip == item && a.Lensnumber == i && a.DefectType == "白点" && !a.Result);
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var listlennoclearsum = ListLenNoClearSum.Count;
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//设备清除数
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var listlenclearsum = listlensum - listlennoclearsum;
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//复检多检出数
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var ListLenMaySum = ListMayNub.FindAll(a => a.TimeTip == item && a.Lensnumber == i && a.DefectType == "白点" && !a.Result);
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var listlenmaysum = ListLenMaySum.Count;
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var content = $"{""},{i},{listlensum},{listlenclearsum},{listlennoclearsum},{listlenmaysum}";
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File.AppendAllText(file, content, Encoding.UTF8);
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File.AppendAllText(file, "\r\n");
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}
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}
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var title1 = $"镜头编号,总缺陷数量,设备清除数,清除率";
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var file1 = $"{directoryInfo1.Parent.FullName}\\{filenameDir + "白班缺陷总数报表"}.csv";
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File.AppendAllText(file1, title1, Encoding.UTF8);
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File.AppendAllText(file1, "\r\n");
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for (int i = 1; i < 5; i++)
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{
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//初检缺陷数
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var ListLenSum1 = ListPreliminarySum.FindAll(a => a.Lensnumber == i && a.DefectType == "白点" && !a.Result);
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var listlensum1 = ListLenSum1.Count;
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//复检多检出数
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var ListLenMaySum1 = ListMayNub.FindAll(a => a.Lensnumber == i && a.DefectType == "白点" && !a.Result);
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var listlenmaysum1 = ListLenMaySum1.Count;
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//总缺陷数
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var defectSum = listlenmaysum1 + listlensum1;
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//除尘数
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var ListLenNoClearSum1 = ListNoClearNub.FindAll(a => a.Lensnumber == i && a.DefectType == "白点" && !a.Result);
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var listlennoclearsum1 = ListLenNoClearSum1.Count;
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var defectClearSum = listlensum1 - listlennoclearsum1;
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var content1 = $"{i},{defectSum},{defectClearSum},{(double)(defectSum / defectClearSum)}";
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File.AppendAllText(file1, content1, Encoding.UTF8);
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File.AppendAllText(file1, "\r\n");
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}
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#endregion
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directoryInfo3 = null;
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}
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#endregion
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});
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Task.WaitAll(new Task[]{ taskNight, taskDay, task6, task7 });
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var tt2 =DateTime.Now;
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var sumtt = tt2 - tt1;
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var End = DateTime.Now;
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var Time = Start - End;
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MessageBox.Show("处理完毕，用时"+Convert.ToString(Time));
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}
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#region 两个表格进行比较,如果两个表格中有设备判断标准不统一，将该点变为NG，删除两个表格中NG点相近的最小尺寸点.
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private List<ResultData> CompareFile(FileInfo fileInfo1, FileInfo fileInfo2,List<string> DataTipsor)
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{
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var dataList1 = GetFileData(fileInfo1);
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var dataList2 = GetFileData(fileInfo2);
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var dataList = new List<ResultData>();
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foreach (var item in DataTipsor)
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{
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var list1 = dataList1.FindAll(a => a.TimeTip == item && !a.Result);
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var list2 = dataList2.FindAll(a => a.TimeTip == item && !a.Result);
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var itemToRemove = new List<ResultData>();
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//计算表格1最大尺寸
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GetMaxSize(list1);
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//计算表格2最大尺寸
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GetMaxSize(list2);
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for (int i = 0; i < list1.Count; i++)
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{
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for (int j = 0; j < list2.Count; j++)
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{
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if (list1[i].JudgmentResult != list2[j].JudgmentResult)
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{
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list1[i].JudgmentResult = list2[j].JudgmentResult = "NG";
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}
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if (list1[i].PostTreatmentResults.Length<list2[j].PostTreatmentResults.Length)
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{
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list1[i].PostTreatmentResults = list2[j].PostTreatmentResults;
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}
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else
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{
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list2[j].PostTreatmentResults = list1[i].PostTreatmentResults;
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}
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var distance = GetDistance(list1[i].X, list1[i].Y, list2[j].X, list2[j].Y);
|
if (distance < 20)
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{
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if (list1[i].ex>list2[j].ex)
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{
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itemToRemove.Add(list2[j]);
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}
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else
|
{
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itemToRemove.Add(list1[i]);
|
}
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}
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}
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}
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dataList.AddRange(list1);
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dataList.AddRange(list2);
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for (int i = 0; i < itemToRemove.Count; i++)
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{
|
dataList.Remove(itemToRemove[i]);
|
}
|
}
|
return dataList;
|
}
|
#endregion
|
|
|
|
#region 获取中框角度和位置
|
private List<ResultData> GetMidLocation(List<ResultData> list)
|
{
|
var group = list.GroupBy(a => a.TimeTip);
|
foreach (var item in group)
|
{
|
//计算镜头1缺陷位置及角度
|
var ListLenSum1 = list.FindAll(a => a.TimeTip == item.Key && a.Lensnumber == 1);
|
for (int k = 0; k < ListLenSum1.Count; k++)
|
{
|
var lenAngle = GetAngle(ListLenSum1[k].X, ListLenSum1[k].Y,1050);
|
if (lenAngle < 0)
|
{
|
lenAngle = 360 + lenAngle;
|
}
|
ListLenSum1[k].angle = lenAngle;
|
|
var distance = GetDistance(1050, 1050, ListLenSum1[k].X, ListLenSum1[k].Y);
|
ListLenSum1[k].R = distance;
|
if (distance <= runparam.MidLens1R1)
|
{
|
ListLenSum1[k].location = "镜头";
|
}
|
else if (runparam.MidLens1R1 < distance && distance <= runparam.MidLens1R2)
|
{
|
ListLenSum1[k].location = "斜面";
|
}
|
else
|
{
|
ListLenSum1[k].location = "平面";
|
}
|
|
}
|
//计算镜头2位置及角度
|
var listLensnumber2 = list.FindAll(a => a.TimeTip == item.Key && a.Lensnumber == 2);
|
for (int k = 0; k < listLensnumber2.Count; k++)
|
{
|
var lenAngle = GetAngle(listLensnumber2[k].X, listLensnumber2[k].Y,1050);
|
if (lenAngle < 0)
|
{
|
lenAngle = 360 + lenAngle;
|
}
|
listLensnumber2[k].angle = lenAngle;
|
var distance = GetDistance(1050, 1050, listLensnumber2[k].X, listLensnumber2[k].Y);
|
listLensnumber2[k].R = distance;
|
if (distance <= runparam.MidLens2R1)
|
{
|
listLensnumber2[k].location = "镜头";
|
}
|
else if (runparam.MidLens2R1 < distance && distance <= runparam.MidLens2R2)
|
{
|
listLensnumber2[k].location = "斜面";
|
}
|
else
|
{
|
listLensnumber2[k].location = "平面";
|
}
|
}
|
//计算镜头3位置及角度
|
var listLensnumber3 = list.FindAll(a => a.TimeTip == item.Key && a.Lensnumber == 3);
|
for (int k = 0; k < listLensnumber3.Count; k++)
|
{
|
var lenAngle = GetAngle(listLensnumber3[k].X, listLensnumber3[k].Y,1050);
|
if (lenAngle < 0)
|
{
|
lenAngle = 360 + lenAngle;
|
}
|
listLensnumber3[k].angle = lenAngle;
|
var distance = GetDistance(1050, 1050, listLensnumber3[k].X, listLensnumber3[k].Y);
|
listLensnumber3[k].R = distance;
|
if (distance <= runparam.MidLens3R1)
|
{
|
listLensnumber3[k].location = "镜头";
|
}
|
else if ( runparam.MidLens3R1< distance && distance <= runparam.MidLens3R2)
|
{
|
listLensnumber3[k].location = "斜面";
|
}
|
else
|
{
|
listLensnumber3[k].location = "平面";
|
}
|
}
|
//计算镜头4位置及角度
|
var listLensnumber4 = list.FindAll(a => a.TimeTip == item.Key && a.Lensnumber == 4);
|
for (int k = 0; k < listLensnumber4.Count; k++)
|
{
|
var lenAngle = GetAngle(listLensnumber4[k].X, listLensnumber4[k].Y,1050);
|
if (lenAngle < 0)
|
{
|
lenAngle = 360 + lenAngle;
|
}
|
listLensnumber4[k].angle = lenAngle;
|
var distance = GetDistance(1050, 1050, listLensnumber4[k].X, listLensnumber4[k].Y);
|
listLensnumber4[k].R = distance;
|
if (distance <= runparam.MidLens4R1)
|
{
|
listLensnumber4[k].location = "镜头";
|
}
|
else if (runparam.MidLens4R1 < distance && distance <= runparam.MidLens4R2)
|
{
|
listLensnumber4[k].location = "斜面";
|
}
|
else
|
{
|
listLensnumber4[k].location = "平面";
|
|
}
|
}
|
|
}
|
return list;
|
}
|
#endregion
|
#region 获取中框刮白角度和位置
|
private List<ResultData> GetWhiteLocation(List<ResultData> list)
|
{
|
var group = list.GroupBy(a => a.TimeTip);
|
foreach (var item in group)
|
{
|
//计算镜头1缺陷位置及角度
|
var ListLenSum1 = list.FindAll(a => a.TimeTip == item.Key && a.Lensnumber == 1);
|
for (int k = 0; k < ListLenSum1.Count; k++)
|
{
|
var lenAngle = GetAngle(ListLenSum1[k].X, ListLenSum1[k].Y,1050);
|
if (lenAngle < 0)
|
{
|
lenAngle = 360 + lenAngle;
|
}
|
ListLenSum1[k].angle = lenAngle;
|
|
var distance = GetDistance(1050, 1050, ListLenSum1[k].X, ListLenSum1[k].Y);
|
ListLenSum1[k].R = distance;
|
if (distance <= runparam.MidLens1R1)
|
{
|
ListLenSum1[k].location = "镜头";
|
}
|
else if (runparam.MidLens1R1 < distance && distance <= runparam.MidLens1R2)
|
{
|
ListLenSum1[k].location = "斜面";
|
}
|
else if(runparam.MidLens1R2 < distance && distance <= runparam.BkLens1R1)
|
{
|
ListLenSum1[k].location = "平面可视区";
|
}
|
else
|
{
|
ListLenSum1[k].location = "平面非可视区";
|
}
|
|
}
|
//计算镜头2位置及角度
|
var listLensnumber2 = list.FindAll(a => a.TimeTip == item.Key && a.Lensnumber == 2);
|
for (int k = 0; k < listLensnumber2.Count; k++)
|
{
|
var lenAngle = GetAngle(listLensnumber2[k].X, listLensnumber2[k].Y,1050);
|
if (lenAngle < 0)
|
{
|
lenAngle = 360 + lenAngle;
|
}
|
listLensnumber2[k].angle = lenAngle;
|
var distance = GetDistance(1050, 1050, listLensnumber2[k].X, listLensnumber2[k].Y);
|
listLensnumber2[k].R = distance;
|
if (distance <= runparam.MidLens2R1)
|
{
|
listLensnumber2[k].location = "镜头";
|
}
|
else if (runparam.MidLens2R1 < distance && distance <= runparam.MidLens2R2)
|
{
|
listLensnumber2[k].location = "斜面";
|
}
|
else if (runparam.MidLens2R2 < distance && distance <= runparam.BkLens2R1)
|
{
|
listLensnumber2[k].location = "平面可视区";
|
}
|
else
|
{
|
listLensnumber2[k].location = "平面非可视区";
|
}
|
}
|
//计算镜头3位置及角度
|
var listLensnumber3 = list.FindAll(a => a.TimeTip == item.Key && a.Lensnumber == 3);
|
for (int k = 0; k < listLensnumber3.Count; k++)
|
{
|
var lenAngle = GetAngle(listLensnumber3[k].X, listLensnumber3[k].Y,1050);
|
if (lenAngle < 0)
|
{
|
lenAngle = 360 + lenAngle;
|
}
|
listLensnumber3[k].angle = lenAngle;
|
var distance = GetDistance(1050, 1050, listLensnumber3[k].X, listLensnumber3[k].Y);
|
listLensnumber3[k].R = distance;
|
if (distance <= runparam.MidLens3R1)
|
{
|
listLensnumber3[k].location = "镜头";
|
}
|
else if (runparam.MidLens3R1 < distance && distance <= runparam.MidLens3R2)
|
{
|
listLensnumber3[k].location = "斜面";
|
}
|
else if (runparam.MidLens3R2 < distance && distance <= runparam.BkLens3R1)
|
{
|
listLensnumber3[k].location = "平面可视区";
|
}
|
else
|
{
|
listLensnumber3[k].location = "平面非可视区";
|
}
|
}
|
//计算镜头4位置及角度
|
var listLensnumber4 = list.FindAll(a => a.TimeTip == item.Key && a.Lensnumber == 4);
|
for (int k = 0; k < listLensnumber4.Count; k++)
|
{
|
var lenAngle = GetAngle(listLensnumber4[k].X, listLensnumber4[k].Y,1050);
|
if (lenAngle < 0)
|
{
|
lenAngle = 360 + lenAngle;
|
}
|
listLensnumber4[k].angle = lenAngle;
|
var distance = GetDistance(1050, 1050, listLensnumber4[k].X, listLensnumber4[k].Y);
|
listLensnumber4[k].R = distance;
|
if (distance <= runparam.MidLens4R1)
|
{
|
listLensnumber4[k].location = "镜头";
|
}
|
else if (runparam.MidLens4R1 < distance && distance <= runparam.MidLens4R2)
|
{
|
listLensnumber4[k].location = "斜面";
|
}
|
else if (runparam.MidLens4R2 < distance && distance <= runparam.BkLens4R1)
|
{
|
listLensnumber4[k].location = "平面可视区";
|
|
}
|
else
|
{
|
listLensnumber4[k].location = "平面非可视区";
|
}
|
}
|
|
}
|
return list;
|
}
|
#endregion
|
|
#region 获取背板角度和位置
|
private List<ResultData> GetBkLocation(List<ResultData> list)
|
{
|
var group = list.GroupBy(a => a.TimeTip);
|
foreach (var item in group)
|
{
|
//计算镜头1缺陷位置及角度
|
var ListLenSum1 = list.FindAll(a => a.TimeTip == item.Key && a.Lensnumber == 1);
|
for (int k = 0; k < ListLenSum1.Count; k++)
|
{
|
var lenAngle = GetAngle(ListLenSum1[k].X, ListLenSum1[k].Y,1350);
|
if (lenAngle < 0)
|
{
|
lenAngle = 360 + lenAngle;
|
}
|
ListLenSum1[k].angle = lenAngle;
|
|
var distance = GetDistance(1350, 1350, ListLenSum1[k].X, ListLenSum1[k].Y);
|
ListLenSum1[k].R = distance;
|
if (distance <= runparam.BkLens1R1)
|
{
|
ListLenSum1[k].location = "可视区";
|
}
|
|
else
|
{
|
ListLenSum1[k].location = "非可视区";
|
}
|
|
}
|
//计算镜头2位置及角度
|
var listLensnumber2 = list.FindAll(a => a.TimeTip == item.Key && a.Lensnumber == 2);
|
for (int k = 0; k < listLensnumber2.Count; k++)
|
{
|
var lenAngle = GetAngle(listLensnumber2[k].X, listLensnumber2[k].Y,1350);
|
if (lenAngle < 0)
|
{
|
lenAngle = 360 + lenAngle;
|
}
|
listLensnumber2[k].angle = lenAngle;
|
var distance = GetDistance(1350, 1350, listLensnumber2[k].X, listLensnumber2[k].Y);
|
listLensnumber2[k].R = distance;
|
if (distance <= runparam.BkLens2R1)
|
{
|
listLensnumber2[k].location = "可视区";
|
}
|
else
|
{
|
listLensnumber2[k].location = "非可视区";
|
}
|
}
|
//计算镜头3位置及角度
|
var listLensnumber3 = list.FindAll(a => a.TimeTip == item.Key && a.Lensnumber == 3);
|
for (int k = 0; k < listLensnumber3.Count; k++)
|
{
|
var lenAngle = GetAngle(listLensnumber3[k].X, listLensnumber3[k].Y,1350);
|
if (lenAngle < 0)
|
{
|
lenAngle = 360 + lenAngle;
|
}
|
listLensnumber3[k].angle = lenAngle;
|
var distance = GetDistance(1350, 1350, listLensnumber3[k].X, listLensnumber3[k].Y);
|
listLensnumber3[k].R = distance;
|
if (distance <= runparam.BkLens3R1)
|
{
|
listLensnumber3[k].location = "可视区";
|
}
|
|
else
|
{
|
listLensnumber3[k].location = "非可视区";
|
}
|
}
|
//计算镜头4位置及角度
|
var listLensnumber4 = list.FindAll(a => a.TimeTip == item.Key && a.Lensnumber == 4);
|
for (int k = 0; k < listLensnumber4.Count; k++)
|
{
|
var lenAngle = GetAngle(listLensnumber4[k].X, listLensnumber4[k].Y,1350);
|
if (lenAngle < 0)
|
{
|
lenAngle = 360 + lenAngle;
|
}
|
listLensnumber4[k].angle = lenAngle;
|
var distance = GetDistance(1350, 1350, listLensnumber4[k].X, listLensnumber4[k].Y);
|
listLensnumber4[k].R = distance;
|
if (distance <= runparam.BkLens4R1)
|
{
|
listLensnumber4[k].location = "可视区";
|
}
|
else
|
{
|
listLensnumber4[k].location = "非可视区";
|
|
}
|
}
|
|
}
|
return list;
|
}
|
#endregion
|
#region 计算两点之间距离
|
private double GetDistance(double x1, double y1, double x2, double y2)
|
{
|
return Math.Sqrt(Math.Pow((x2 - x1), 2) + Math.Pow((y2 - y1), 2));
|
}
|
#endregion
|
#region 计算角度
|
private double GetAngle(double x1, double y1,double size)
|
{
|
return Math.Atan2((y1 - size), (x1 - size)) * (180 / Math.PI);
|
}
|
#endregion
|
#region 计算最大尺寸
|
private List<ResultData> GetMaxSize(List<ResultData> list)
|
{
|
for (int i = 0; i < list.Count; i++)
|
{
|
if (list[i].Width > list[i].Height)
|
{
|
list[i].ex = list[i].Width * 0.0043;
|
}
|
else
|
{
|
list[i].ex = list[i].Height * 0.0043;
|
}
|
|
}
|
return list;
|
}
|
#endregion
|
#region 获取文件名称并确定缺陷类型
|
private string GetDefactType(FileInfo fileinfo)
|
{
|
string defatType="";
|
|
if (fileinfo.Name.Contains("白点"))
|
{
|
defatType= "白点";
|
}
|
else if (fileinfo.Name.Contains("刮白"))
|
{
|
defatType = "刮白";
|
}
|
else if (fileinfo.Name.Contains("镀膜破损"))
|
{
|
defatType = "镀膜破损";
|
}
|
else if (fileinfo.Name.Contains("划伤"))
|
{
|
defatType = "划伤";
|
}
|
|
|
|
return defatType;
|
}
|
#endregion
|
|
#region 将文件夹进行区分上表格、下表格
|
private void GentClassificationFile(DirectoryInfo directoryInfo,out List<FileInfo> fileinfo1, out List<FileInfo> fileinfo2)
|
{
|
var fileinfos11 = directoryInfo.GetFiles().ToList().FindAll(a => a.Extension == ".csv");
|
List<FileInfo> fileInfo1 = new List<FileInfo>();
|
List<FileInfo> fileInfo2 = new List<FileInfo>();
|
for (int i = 0; i < fileinfos11.Count; i++)
|
{
|
if (fileinfos11[i].Name.Contains("1_1") || fileinfos11[i].Name.Contains("2_1") || fileinfos11[i].Name.Contains("3_1") || fileinfos11[i].Name.Contains("4_1"))
|
{
|
fileInfo1.Add(fileinfos11[i]);
|
}
|
else
|
{
|
fileInfo2.Add(fileinfos11[i]);
|
}
|
}
|
fileinfo1 = fileInfo1;
|
fileinfo2 = fileInfo2;
|
|
|
}
|
#endregion
|
|
#region 获取白点、刮白数据并按镜头输出
|
private List<ResultData> GetClassificationLens(List<FileInfo> fileInfo1, List<FileInfo> fileInfo2, List<string> DataTipsor)
|
{
|
List<ResultData> ListReexaminationSum = new List<ResultData>();
|
int WhiteI = 0;
|
int WhiteningI = 0;
|
List<Task> listTask = new List<Task>();
|
for (int i = 0; i < fileInfo1.Count; i++)
|
{
|
int index = i;
|
Task task = new Task(() => {
|
var list = CompareFile(fileInfo1[index], fileInfo2[index], DataTipsor);
|
//if (fileInfo1[index].Name.Contains("白点"))
|
//{
|
//WhiteI++;
|
//list.ForEach(a => a.Lensnumber = WhiteI);
|
ListReexaminationSum.AddRange(list);
|
//}
|
//else if (fileInfo1[index].Name.Contains("刮白"))
|
//{
|
//WhiteningI++;
|
//list.ForEach(a => a.Lensnumber = WhiteningI);
|
//ListReexaminationSum.AddRange(list);
|
|
//}
|
if (fileInfo1[index].Name.Contains("初检中框"))
|
{
|
list = GetMidLocation(list);
|
}
|
else if (fileInfo1[index].Name.Contains("复检中框") && fileInfo1[index].Name.Contains("白点"))
|
{
|
list = GetMidLocation(list);
|
}
|
else if (fileInfo1[index].Name.Contains("复检中框") && fileInfo1[index].Name.Contains("刮白"))
|
{
|
list = GetWhiteLocation(list);
|
}
|
else if (fileInfo1[index].Name.Contains("初检背板"))
|
{
|
//给镜头区分位置及角度
|
list = GetBkLocation(list);
|
}
|
else if (fileInfo1[index].Name.Contains("复检背板") && fileInfo1[index].Name.Contains("白点"))
|
{
|
list = GetBkLocation(list);
|
}
|
});
|
task.Start();
|
listTask.Add(task);
|
|
}
|
Task.WaitAll(listTask.ToArray());
|
return ListReexaminationSum;
|
}
|
#endregion
|
|
#region //统计设备未清除数、复检多检出数
|
private void CompareFile2(List<ResultData> ListReexaminationSum, List<ResultData> ListPreliminarySum,List<string> DataTipsor, out List<ResultData> ListNoClearNub, out List<ResultData> ListMayNub) //ListReexaminationSum是复检数据，ListPreliminarySum是初检数据
|
{
|
var listNCN = new List<ResultData>();
|
//var listmany = new List<ResultData>();
|
var itemToRemove = new List<ResultData>();
|
for (int i = 0; i < DataTipsor.Count; i++)
|
{
|
for (int j = 1; j < 5; j++)
|
{
|
var ListReexaminationLens = ListReexaminationSum.FindAll(a => a.TimeTip == DataTipsor[i] && a.Lensnumber == j&&a.DefectType=="白点"&&!a.Result);
|
var ListPreliminaryLens = ListPreliminarySum.FindAll(a => a.TimeTip == DataTipsor[i] && a.Lensnumber == j && a.DefectType == "白点" && !a.Result);
|
|
|
for (int k = 0; k < ListPreliminaryLens.Count; k++)
|
{
|
for (int L = 0; L < ListReexaminationLens.Count; L++)
|
{
|
var distance = GetDistance(ListPreliminaryLens[k].X, ListPreliminaryLens[k].Y, ListReexaminationLens[L].X, ListReexaminationLens[L].Y);
|
if (distance<20)
|
{
|
listNCN.Add(ListReexaminationLens[L]); //未清除数
|
}
|
|
}
|
}
|
|
}
|
|
}
|
var listmany = ListReexaminationSum.FindAll(a => a.DefectType == "白点" && !a.Result);
|
for (int M = 0; M < listNCN.Count; M++)
|
{
|
listmany.Remove(listNCN[M]);
|
}
|
ListNoClearNub = listNCN;
|
ListMayNub = listmany;
|
}
|
|
#endregion
|
|
private List <ResultData> GetFileData(FileInfo fileInfos)
|
{
|
var allLines = File.ReadAllLines(fileInfos.FullName, Encoding.Default);
|
List<ResultData> dataList = new List<ResultData>();
|
if (allLines.Length > 1)
|
{
|
switch (GetDefactType(fileInfos))
|
{
|
case "白点":
|
dataList = readfile.GetWhiteFile(allLines);
|
break;
|
case "刮白":
|
dataList = readfile.GetWhiteningFile(allLines);
|
break;
|
case "划伤":
|
dataList = readfile.GetScratchPartFile(allLines);
|
break;
|
case "镀膜破损":
|
dataList = readfile.GetZoomPartFile(allLines);
|
break;
|
}
|
}
|
return dataList;
|
}
|
|
|
}
|
|
|
}
|
|
#endregion
|
