修改瞅瞅
This commit is contained in:
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4df6b668bf
commit
0314f4d403
@ -49,7 +49,7 @@ namespace DH.Devices.PLC
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{
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connected = true;
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MonitorPieces();
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TurntableOpen(18000,true);
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TurntableOpen(2000,true);
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return true;
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}
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@ -12,6 +12,7 @@ using System.Threading;
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using System.Threading.Tasks;
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using System.Runtime.InteropServices;
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using Newtonsoft.Json;
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using System.Xml;
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namespace DH.Devices.Vision
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@ -171,7 +172,7 @@ namespace DH.Devices.Vision
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{
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MLResult mlResult = new MLResult();
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Mat originMat=new Mat() ;
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Mat detectMat;
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Mat detectMat= new Mat();
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try
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{
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if (req.mImage == null)
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@ -182,7 +183,7 @@ namespace DH.Devices.Vision
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}
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// resize
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detectMat = req.mImage;//1ms
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detectMat = req.mImage.Clone();//1ms
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@ -200,9 +201,10 @@ namespace DH.Devices.Vision
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else if (detectMat.Channels() == 3)
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{
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// 如果已经是三通道（BGR），则直接转换为RGB
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Cv2.CvtColor( detectMat,originMat, ColorConversionCodes.BGR2RGB);
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// Cv2.CvtColor( detectMat,originMat, ColorConversionCodes.BGR2RGB);
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// 直接使用原始图像
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originMat = detectMat.Clone();
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}
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//输入数据转化为字节
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@ -225,7 +227,7 @@ namespace DH.Devices.Vision
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req.confThreshold, req.iouThreshold,
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ref outputByte[0],
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ref labellist[0]);
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//mlResult.IsSuccess = true;
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// mlResult.IsSuccess = true;
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}
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sw.Stop();
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@ -257,10 +259,19 @@ namespace DH.Devices.Vision
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}
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finally
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{
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req.mImage?.Dispose();
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req.mImage = null;
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originMat = null;
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// 释放 Mat 资源
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if (detectMat != null)
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{
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detectMat.Dispose();
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detectMat = null;
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}
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if (originMat != null)
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{
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originMat.Dispose();
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originMat = null;
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}
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// GC.Collect();
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@ -317,22 +317,22 @@ namespace DHSoftware
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det2.CameraCollects = CameraCollects2;
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det1.ModelconfThreshold = Conf;
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det1.ModelWidth = 640;
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det1.ModelHeight = 640;
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det1.in_lable_path = " D:\\PROJECTS\\MaodingTest1\\Vision\\cam2.txt";
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det2.ModelconfThreshold = Conf;
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det2.ModelWidth = 640;
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det2.ModelHeight = 640;
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det2.in_lable_path = " D:\\PROJECTS\\MaodingTest1\\Vision\\cam2.txt";
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det3.CameraCollects = CameraCollects3;
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det1.ModelconfThreshold = Conf;
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det1.ModelWidth = 640;
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det1.ModelHeight = 640;
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det1.in_lable_path = " D:\\PROJECTS\\MaodingTest1\\Vision\\cam3.txt";
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det3.ModelconfThreshold = Conf;
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det3.ModelWidth = 640;
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det3.ModelHeight = 640;
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det3.in_lable_path = " D:\\PROJECTS\\MaodingTest1\\Vision\\cam3.txt";
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det4.CameraCollects = CameraCollects4;
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det1.ModelconfThreshold = Conf;
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det1.ModelWidth = 640;
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det1.ModelHeight = 640;
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det1.in_lable_path = " D:\\PROJECTS\\MaodingTest1\\Vision\\cam4.txt";
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det4.ModelconfThreshold = Conf;
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det4.ModelWidth = 640;
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det4.ModelHeight = 640;
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det4.in_lable_path = " D:\\PROJECTS\\MaodingTest1\\Vision\\cam4.txt";
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detectionList.Add(det1);
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detectionList.Add(det2);
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@ -401,11 +401,8 @@ namespace DHSoftware
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simbo2.Load(mLInit2);
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for(int i = 0;i<Dectection.Count;i++)
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{
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}
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Dectection.Add(det1.Id, simbo2);
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Dectection.Add(det2.Id, simbo2);
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PLC.IP = "192.168.6.6";
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PLC.Port = 502;
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@ -480,475 +477,492 @@ namespace DHSoftware
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Task.Run(async () =>
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{
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// 拍照计数与物件编号一致，查找对应的产品
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ProductData product = null;
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//内外壁模组多个相机的处理方法
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//计算队列的方法不变
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int index = PieceNumberToIndex(productNumber);
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// 找到产品存放在哪个队列里
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ConcurrentDictionary<uint, ProductData> tmpDic = _productLists[index];
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try
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using (Mat localImageSet = imageSet.Clone()) // 复制 Mat 避免并发问题
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{
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int retryTimes = 100;
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while (product == null && retryTimes > 0)
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// 拍照计数与物件编号一致，查找对应的产品
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ProductData product = null;
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//内外壁模组多个相机的处理方法
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//计算队列的方法不变
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int index = PieceNumberToIndex(productNumber);
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// 找到产品存放在哪个队列里
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ConcurrentDictionary<uint, ProductData> tmpDic = _productLists[index];
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try
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{
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if (tmpDic.ContainsKey(productNumber))
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int retryTimes = 100;
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while (product == null && retryTimes > 0)
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{
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product = tmpDic[productNumber];
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}
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else
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{
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Thread.Sleep(20);
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}
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retryTimes--;
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}
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// 如果产品为空，则销毁图片，提示错误
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if (null == product)
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{
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List<uint> pnList = tmpDic.Keys.ToList();
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string pnStr = "";
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if (pnList != null && pnList.Count > 0)
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{
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pnStr = string.Join(",", pnList);
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}
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//LogAsync(DateTime.Now, LogLevel.Error, $"{camera.Name} 未找到产品，编号：{productNumber}，队列{index}数量：{tmpDic.Count}，列表：{pnStr}");
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imageSet.Dispose();
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return;
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}
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// LogAsync(DateTime.Now, LogLevel.Information, $"{camera.Name} 找到产品{productNumber}，队列{index}数量：{tmpDic.Count}");
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if (!_cameraRelatedDetectionDict.ContainsKey(camera.CameraName))
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{
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if (imageSet != null)
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{
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imageSet?.Dispose();
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imageSet = null;
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}
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imageSet.Dispose();
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// LogAsync(DateTime.Now, LogLevel.Warning, $"{camera.Name} 找到产品{productNumber}，但是没有推理1");
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return;
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}
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double totalTime = 0.0;
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List<ResultState> resultStates = new List<ResultState>();
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List<string>? detectionDict = _cameraRelatedDetectionDict[camera.CameraName];
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if (detectionDict.Count == 0)
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{
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//LogAsync(DateTime.Now, LogLevel.Warning, $"{camera.Name} 找到产品{productNumber}，但是没有推理3");
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}
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for (int i = 0; i < detectionDict.Count; i++)
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{
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string detectionId = detectionDict[i];
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try
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{
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DetectionConfig detectConfig = null;
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//找到对应的配置
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if (!string.IsNullOrWhiteSpace(detectionId))
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if (tmpDic.ContainsKey(productNumber))
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{
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detectConfig = detectionList.FirstOrDefault(u => u.Id == detectionId);
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product = tmpDic[productNumber];
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}
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else
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{
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detectConfig = detectionList.FirstOrDefault(u => u.CameraSourceId == camera.CameraName);
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Thread.Sleep(20);
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}
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retryTimes--;
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}
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// 如果产品为空，则销毁图片，提示错误
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if (null == product)
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{
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List<uint> pnList = tmpDic.Keys.ToList();
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string pnStr = "";
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if (pnList != null && pnList.Count > 0)
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{
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pnStr = string.Join(",", pnList);
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}
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if (detectConfig == null)
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{
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//未能获得检测配置
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return ;
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}
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//LogAsync(DateTime.Now, LogLevel.Error, $"{camera.Name} 未找到产品，编号：{productNumber}，队列{index}数量：{tmpDic.Count}，列表：{pnStr}");
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localImageSet.Dispose();
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return;
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}
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#region 1.预处理
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#endregion
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#region 2.深度学习推理
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var req = new MLRequest();
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// LogAsync(DateTime.Now, LogLevel.Information, $"{camera.Name} 找到产品{productNumber}，队列{index}数量：{tmpDic.Count}");
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req.mImage = imageSet.Clone();
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req.ResizeWidth = detectConfig.ModelWidth;
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req.ResizeHeight = detectConfig.ModelHeight;
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req.confThreshold = detectConfig.ModelconfThreshold;
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req.iouThreshold = 0.3f;
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req.out_node_name = detectConfig.ModeloutNodeName;
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req.in_lable_path = detectConfig.in_lable_path;
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//req.LabelNames = dc.GetLabelNames();
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if (!_cameraRelatedDetectionDict.ContainsKey(camera.CameraName))
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{
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//HOperatorSet.WriteImage(req.HImage, "png", 0, @"D:\\666.png");
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Stopwatch
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sw = new Stopwatch();
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sw.Start();
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var result = Dectection[detectionId].RunInference(req);
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sw.Stop();
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//LogAsync(DateTime.Now, LogLevel.Information, $"{camera.Name} 推理进度1.1，产品{productNumber}，耗时{sw.ElapsedMilliseconds}ms");
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#endregion
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#region 3.后处理
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DetectStationResult detectResult = new DetectStationResult();
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if (result == null || (result != null && !result.IsSuccess))
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localImageSet.Dispose();
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// LogAsync(DateTime.Now, LogLevel.Warning, $"{camera.Name} 找到产品{productNumber}，但是没有推理1");
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return;
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}
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double totalTime = 0.0;
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List<ResultState> resultStates = new List<ResultState>();
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List<string>? detectionDict = _cameraRelatedDetectionDict[camera.CameraName];
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for (int i = 0; i < detectionDict.Count; i++)
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{
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string detectionId = detectionDict[i];
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try
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{
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detectResult.IsMLDetectDone = false;
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}
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if (result != null && result.IsSuccess)
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{
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detectResult.DetectDetails = result.ResultDetails;
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if (detectResult.DetectDetails != null)
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DetectionConfig detectConfig = null;
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//找到对应的配置
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if (!string.IsNullOrWhiteSpace(detectionId))
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{
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detectConfig = detectionList.FirstOrDefault(u => u.Id == detectionId);
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}
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else
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{
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detectConfig = detectionList.FirstOrDefault(u => u.CameraSourceId == camera.CameraName);
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}
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if (detectConfig == null)
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{
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//未能获得检测配置
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return;
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}
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#region 1.预处理
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#endregion
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#region 2.深度学习推理
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var req = new MLRequest();
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req.mImage = localImageSet.Clone();
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//req.ResizeWidth = detectConfig.ModelWidth;
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//req.ResizeHeight = detectConfig.ModelHeight;
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//req.confThreshold = detectConfig.ModelconfThreshold;
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//req.iouThreshold = 0.3f;
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//req.out_node_name = detectConfig.ModeloutNodeName;
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//req.in_lable_path = detectConfig.in_lable_path;
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req.ResizeWidth = 640;
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req.ResizeHeight = 640;
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req.confThreshold = 0.5f;
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req.iouThreshold = 0.3f;
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req.out_node_name = "output0";
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req.in_lable_path = "D:\\PROJECTS\\MaodingTest1\\Vision\\cam1.txt";
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//req.LabelNames = dc.GetLabelNames();
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//HOperatorSet.WriteImage(req.HImage, "png", 0, @"D:\\666.png");
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Stopwatch
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sw = new Stopwatch();
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sw.Start();
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var result = Dectection[detectionId].RunInference(req);
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sw.Stop();
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//LogAsync(DateTime.Now, LogLevel.Information, $"{camera.Name} 推理进度1.1，产品{productNumber}，耗时{sw.ElapsedMilliseconds}ms");
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#endregion
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this.BeginInvoke(new MethodInvoker(delegate ()
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{
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if (pictureBox1.Image != null)
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{
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pictureBox1.Image.Dispose(); // 释放旧图像
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}
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pictureBox1.Image = result.ResultMap;
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richTextBox1.AppendText($"推理成功 {productNumber}, {result.IsSuccess} 耗时 {sw.ElapsedMilliseconds}ms\n");
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}));
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req.mImage.Dispose();
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#if true
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#region 3.后处理
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DetectStationResult detectResult = new DetectStationResult();
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if (result == null || (result != null && !result.IsSuccess))
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{
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detectResult.IsMLDetectDone = false;
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}
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}
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#endregion
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#region 3.后处理
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#endregion
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//根据那些得分大于阈值的推理结果，判断产品是否成功
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#region 4.最终过滤（逻辑过滤）
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detectResult.DetectDetails?.ForEach(d =>
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{
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//当前检测项的 过滤条件
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//var conditionList = detectConfig.DetectionFilterList
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// .Where(u => u.IsEnabled && u.LabelName == d.LabelName)
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// .GroupBy(u => u.ResultState)
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// .OrderBy(u => u.Key)
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// .ToList();
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//当前检测项的 过滤条件
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var conditionList = detectConfig.DetectionFilterList
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.Where(u => u.IsEnabled && u.LabelName == d.LabelName)
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.GroupBy(u => u.ResultState)
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.OrderBy(u => u.Key)
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.ToList();
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if (conditionList.Count == 0)
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if (result != null && result.IsSuccess)
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{
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if (d.LabelName.ToLower() == "ok")
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detectResult.DetectDetails = result.ResultDetails;
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if (detectResult.DetectDetails != null)
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{
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d.FinalResult = d.InferenceResult = ResultState.OK;
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}
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else
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{
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d.FinalResult = d.InferenceResult = ResultState.DetectNG;
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detectResult.IsMLDetectDone = false;
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}
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}
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else
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#endregion
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#region 3.后处理
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#endregion
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//根据那些得分大于阈值的推理结果，判断产品是否成功
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#region 4.最终过滤（逻辑过滤）
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detectResult.DetectDetails?.ForEach(d =>
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{
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if (detectConfig.IsMixModel)
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//当前检测项的 过滤条件
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//var conditionList = detectConfig.DetectionFilterList
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// .Where(u => u.IsEnabled && u.LabelName == d.LabelName)
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// .GroupBy(u => u.ResultState)
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// .OrderBy(u => u.Key)
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// .ToList();
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//当前检测项的 过滤条件
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var conditionList = detectConfig.DetectionFilterList
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.Where(u => u.IsEnabled && u.LabelName == d.LabelName)
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.GroupBy(u => u.ResultState)
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.OrderBy(u => u.Key)
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.ToList();
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if (conditionList.Count == 0)
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{
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d.FinalResult = d.InferenceResult = ResultState.A_NG;
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if (d.LabelName.ToLower() == "ok")
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{
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d.FinalResult = d.InferenceResult = ResultState.OK;
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}
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else
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{
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d.FinalResult = d.InferenceResult = ResultState.DetectNG;
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}
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}
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else
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{
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//将所有已将筛选出来的缺陷进行过滤
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d.FinalResult = d.InferenceResult = ResultState.OK;
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if (detectConfig.IsMixModel)
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{
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d.FinalResult = d.InferenceResult = ResultState.A_NG;
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}
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else
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{
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//将所有已将筛选出来的缺陷进行过滤
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d.FinalResult = d.InferenceResult = ResultState.OK;
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}
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}
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}
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foreach (IGrouping<ResultState, DetectionFilter> group in conditionList)
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{
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bool b = group.ToList().Any(f =>
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{
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return f.FilterOperation(d);
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});
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||||
foreach (IGrouping<ResultState, DetectionFilter> group in conditionList)
|
||||
if (b)
|
||||
{
|
||||
d.FinalResult = group.Key;
|
||||
break;
|
||||
}
|
||||
//else
|
||||
//{
|
||||
// d.FinalResult = d.InferenceResult = ResultState.OK;
|
||||
//}
|
||||
}
|
||||
});
|
||||
#endregion
|
||||
#region 5.统计缺陷过滤结果或预处理直接NG
|
||||
if (detectResult.DetectDetails?.Count > 0)
|
||||
{
|
||||
bool b = group.ToList().Any(f =>
|
||||
{
|
||||
return f.FilterOperation(d);
|
||||
});
|
||||
detectResult.ResultState = detectResult.DetectDetails.GroupBy(u => u.FinalResult).OrderBy(u => u.Key).First().First().FinalResult;
|
||||
detectResult.ResultLabel = detectResult.ResultLabel;
|
||||
detectResult.ResultLabelCategoryId = detectResult.ResultLabel;//TODO:设置优先级
|
||||
//////根据优先级设置ResultLabel
|
||||
//if (detectionLabels.Count > 0)
|
||||
//{
|
||||
// foreach (var l in detectionLabels)
|
||||
// {
|
||||
// var isExist = DetectDetails.Any(o => NormalizeAndClean(o.LabelName) == NormalizeAndClean(l.LabelName) && o.FinalResult == ResultState.DetectNG);
|
||||
// if (isExist)
|
||||
// {
|
||||
|
||||
|
||||
if (b)
|
||||
{
|
||||
d.FinalResult = group.Key;
|
||||
break;
|
||||
}
|
||||
//else
|
||||
//{
|
||||
// d.FinalResult = d.InferenceResult = ResultState.OK;
|
||||
// ResultLabelCategoryId = l.LabelCategoryId;
|
||||
// break;
|
||||
// }
|
||||
// }
|
||||
//}
|
||||
}
|
||||
});
|
||||
#endregion
|
||||
#region 5.统计缺陷过滤结果或预处理直接NG
|
||||
if (detectResult.DetectDetails?.Count > 0)
|
||||
{
|
||||
detectResult.ResultState = detectResult.DetectDetails.GroupBy(u => u.FinalResult).OrderBy(u => u.Key).First().First().FinalResult;
|
||||
detectResult.ResultLabel = detectResult.ResultLabel;
|
||||
detectResult.ResultLabelCategoryId = detectResult.ResultLabel;//TODO:设置优先级
|
||||
//////根据优先级设置ResultLabel
|
||||
//if (detectionLabels.Count > 0)
|
||||
//{
|
||||
// foreach (var l in detectionLabels)
|
||||
// {
|
||||
// var isExist = DetectDetails.Any(o => NormalizeAndClean(o.LabelName) == NormalizeAndClean(l.LabelName) && o.FinalResult == ResultState.DetectNG);
|
||||
// if (isExist)
|
||||
// {
|
||||
|
||||
// ResultLabelCategoryId = l.LabelCategoryId;
|
||||
// break;
|
||||
// }
|
||||
// }
|
||||
return;
|
||||
}
|
||||
#endregion
|
||||
resultStates.Add(detectResult.ResultState);
|
||||
|
||||
product.ResultCollection.Add(detectResult);
|
||||
|
||||
|
||||
|
||||
#endif
|
||||
|
||||
|
||||
|
||||
//DetectStationResult temp;
|
||||
////LogAsync(DateTime.Now, LogLevel.Information, $"{camera.Name} 推理进度1.4，产品{productNumber}");
|
||||
//// 检测结果
|
||||
//if (temp != null)
|
||||
//{
|
||||
// // LogAsync(DateTime.Now, LogLevel.Information, $"{camera.Name} 推理进度1.5，产品{productNumber}");
|
||||
// //var totalElapsed = (temp.EndTime - temp.VisionImageSet.ImageTime).TotalMilliseconds;
|
||||
// //totalTime += totalElapsed;
|
||||
// resultStates.Add(temp.ResultState);
|
||||
|
||||
// product.ResultCollection.Add(temp);
|
||||
// // LogAsync(DateTime.Now, LogLevel.Information, $"{camera.Name} 推理进度1.6，产品{productNumber}");
|
||||
//}
|
||||
//else
|
||||
//{
|
||||
// //LogAsync(DateTime.Now, LogLevel.Information, $"{camera.Name} 检测失败，物料编号：{productNumber}，检测项：{d}");
|
||||
//}
|
||||
|
||||
return;
|
||||
// imageSet.Dispose();
|
||||
}
|
||||
#endregion
|
||||
|
||||
|
||||
resultStates.Add(detectResult.ResultState);
|
||||
|
||||
product.ResultCollection.Add(detectResult);
|
||||
this.BeginInvoke(new MethodInvoker(delegate ()
|
||||
catch (Exception ex)
|
||||
{
|
||||
pictureBox1.Image = result.ResultMap; richTextBox1.AppendText($"推理成功{productNumber}，{result.IsSuccess} 推理耗时{sw.ElapsedMilliseconds}ms，总推理耗时\n");
|
||||
|
||||
}));
|
||||
//DetectStationResult temp;
|
||||
////LogAsync(DateTime.Now, LogLevel.Information, $"{camera.Name} 推理进度1.4，产品{productNumber}");
|
||||
//// 检测结果
|
||||
//if (temp != null)
|
||||
//{
|
||||
// // LogAsync(DateTime.Now, LogLevel.Information, $"{camera.Name} 推理进度1.5，产品{productNumber}");
|
||||
// //var totalElapsed = (temp.EndTime - temp.VisionImageSet.ImageTime).TotalMilliseconds;
|
||||
// //totalTime += totalElapsed;
|
||||
// resultStates.Add(temp.ResultState);
|
||||
|
||||
// product.ResultCollection.Add(temp);
|
||||
// // LogAsync(DateTime.Now, LogLevel.Information, $"{camera.Name} 推理进度1.6，产品{productNumber}");
|
||||
//}
|
||||
//else
|
||||
//{
|
||||
// //LogAsync(DateTime.Now, LogLevel.Information, $"{camera.Name} 检测失败，物料编号：{productNumber}，检测项：{d}");
|
||||
//}
|
||||
|
||||
imageSet.Dispose();
|
||||
// LogAsync(DateTime.Now, LogLevel.Information, $"{camera.Name} 推理异常，物料编号：{productNumber}，检测项：{d}, {ex.GetExceptionMessage}");
|
||||
}
|
||||
}
|
||||
catch (Exception ex)
|
||||
|
||||
//detectionDict.ForEach(d =>
|
||||
//{
|
||||
|
||||
//});
|
||||
|
||||
// LogAsync(DateTime.Now, LogLevel.Information, $"{camera.Name} 推理进度2，产品{productNumber}");
|
||||
|
||||
|
||||
imageSet.Dispose();
|
||||
product.InferenceOne(() =>
|
||||
{
|
||||
// LogAsync(DateTime.Now, LogLevel.Information, $"{camera.Name} 推理异常，物料编号：{productNumber}，检测项：{d}, {ex.GetExceptionMessage}");
|
||||
}
|
||||
}
|
||||
|
||||
//detectionDict.ForEach(d =>
|
||||
//{
|
||||
|
||||
//});
|
||||
|
||||
// LogAsync(DateTime.Now, LogLevel.Information, $"{camera.Name} 推理进度2，产品{productNumber}");
|
||||
|
||||
|
||||
imageSet.Dispose();
|
||||
product.InferenceOne(() =>
|
||||
{
|
||||
;
|
||||
}, () =>
|
||||
{
|
||||
;
|
||||
});
|
||||
|
||||
// LogAsync(DateTime.Now, LogLevel.Information, $"{camera.Name} 推理完成，产品{productNumber}");
|
||||
|
||||
if (!product.InferenceFinished())
|
||||
{
|
||||
|
||||
return;
|
||||
}
|
||||
ProductNum_Total++;
|
||||
CalculateOEE();
|
||||
this.BeginInvoke(new MethodInvoker(delegate () {
|
||||
|
||||
int currentScrollPosition = richTextBox1.GetPositionFromCharIndex(richTextBox1.TextLength).Y;
|
||||
|
||||
richTextBox1.AppendText($"统计结果成功，{productNumber}吹气！\n");
|
||||
|
||||
// 设置回原来的滚动位置
|
||||
richTextBox1.SelectionStart = richTextBox1.TextLength;
|
||||
richTextBox1.ScrollToCaret();
|
||||
}));
|
||||
#region 6.统计产品结果
|
||||
if (product.ResultCollection.Any(u => u.ResultState != ResultState.OK))
|
||||
{
|
||||
//检测结果TBD
|
||||
// CurTrigger = TriggerSettings.FirstOrDefault(u => u.TriggerType == TriggerType.B_NG);
|
||||
product.ProductResult = ResultState.B_NG;
|
||||
product.ProductLabelCategory = ResultState.B_NG.GetEnumDescription();
|
||||
product.ProductLabel = ResultState.B_NG.GetEnumDescription();
|
||||
|
||||
|
||||
}
|
||||
else
|
||||
{
|
||||
// CurTrigger = TriggerSettings.FirstOrDefault(u => u.TriggerType == TriggerType.OK);
|
||||
product.ProductResult = ResultState.OK;
|
||||
product.ProductLabelCategory = ResultState.OK.GetEnumDescription();
|
||||
product.ProductLabel = ResultState.OK.GetEnumDescription();
|
||||
}
|
||||
#endregion
|
||||
#region 7.产品吹气
|
||||
|
||||
#endregion
|
||||
|
||||
|
||||
|
||||
//LogAsync(DateTime.Now, LogLevel.Information, $"推理完成，产品{product.PieceNumber}获取结果");
|
||||
|
||||
// 统计产品结果
|
||||
//Task resultTask = product.SetProductResult(_totalDetectionNum, X017Config.IsTBDPriority, labelCategoryLists);
|
||||
|
||||
//await resultTask.ContinueWith(t =>
|
||||
//{
|
||||
// try
|
||||
// {
|
||||
// UpdateTriggerCount(DateTime.Now, "获取结果");
|
||||
// UpdateResult(DateTime.Now, camera, product.ProductResult.GetEnumDescription());
|
||||
// UpdateResultNew(DateTime.Now, camera, "合计");
|
||||
// LogAsync(DateTime.Now, LogLevel.Information, $"产品{product.PieceNumber}获取结果：{product.ProductResult} {(product.IsA2B ? "产品IsA2B" : "")}");
|
||||
|
||||
// }
|
||||
// catch (Exception ex)
|
||||
// {
|
||||
// LogAsync(DateTime.Now, LogLevel.Information, $"产品{product.PieceNumber}获取结果异常：{product.ProductResult} {(product.IsA2B ? "产品IsA2B" : "")}，" +
|
||||
// $"异常信息：{ex.GetExceptionMessage}");
|
||||
|
||||
// }
|
||||
|
||||
// // 吹气
|
||||
// DateTime dtNow = DateTime.Now;
|
||||
// product.BlowOutTime = dtNow;
|
||||
|
||||
|
||||
// var setting = X017Config.ProductBlowSettings.FirstOrDefault(s => product.ProductResult.Equals(s.ProductResult));
|
||||
|
||||
// if (setting != null)
|
||||
// {
|
||||
// uint NGNumC = 0;
|
||||
// uint OKNumC = 0;
|
||||
|
||||
// CMCDLL_NET.MCF_Sorting_Get_Lose_Blow_NG_Count_Net(ref NGNumC, 0);
|
||||
// CMCDLL_NET.MCF_Sorting_Get_Lose_Blow_OK_Count_Net(ref OKNumC, 0);
|
||||
// _mainMotion.Blow(product.PieceNumber, setting.BindBlow);
|
||||
// LogAsync(DateTime.Now, LogLevel.Action, $"产品{product.PieceNumber}吹气{NGNumC}+ {OKNumC}");
|
||||
// //if (product.ProductResult == ResultState.OK)
|
||||
// //{
|
||||
// // //OKProcessNum++;
|
||||
// // OKNum++;
|
||||
// //}
|
||||
// }
|
||||
|
||||
// //判断超时出队
|
||||
// foreach (var kvp in tmpDic)
|
||||
// {
|
||||
// try
|
||||
// {
|
||||
// ProductData dataN = kvp.Value;
|
||||
// TimeSpan timeDifference = DateTime.Now - dataN.CreateTime;
|
||||
// if (timeDifference.TotalMinutes >= 1)
|
||||
// {
|
||||
|
||||
// //出队
|
||||
// bool isremoved = tmpDic.TryRemove(kvp.Key, out _);
|
||||
// if (isremoved)
|
||||
// {
|
||||
// LogAsync(DateTime.Now, LogLevel.Error, $"====产品{kvp.Key}超时出列成功" +
|
||||
// $"产品结果：{dataN.ProductResult.GetEnumDescription()} {dataN.ProductResult}，" +
|
||||
// $"当前队列产品数量：{tmpDic.Count}====");
|
||||
|
||||
// try
|
||||
// {
|
||||
// //重新生成实例 销毁之前的实例
|
||||
// var saveData = dataN.GetProductData();
|
||||
// var productDefects = dataN.GetDetectDetailData();
|
||||
// SaveProductDataAsync(saveData, productDefects);
|
||||
// dataN = null;
|
||||
// }
|
||||
// catch (Exception) { }
|
||||
|
||||
// dataN?.Dispose();
|
||||
// }
|
||||
// else
|
||||
// {
|
||||
// LogAsync(DateTime.Now, LogLevel.Error, $"=====产品{kvp.Key}超时出列失败" +
|
||||
// $"当前队列产品数量：{tmpDic.Count}=====");
|
||||
// }
|
||||
// }
|
||||
// }
|
||||
// catch (Exception ex)
|
||||
// {
|
||||
// LogAsync(DateTime.Now, LogLevel.Error, $"=====产品{kvp.Key}超时出列失败" +
|
||||
// $"当前队列产品数量：{tmpDic.Count}====={ex.GetExceptionMessage}");
|
||||
// }
|
||||
// }
|
||||
|
||||
|
||||
|
||||
// 出列
|
||||
ProductData temp = null;
|
||||
|
||||
int tryTimes = 5;
|
||||
while (temp == null && tryTimes > 0)
|
||||
{
|
||||
var isSuccess = tmpDic.Remove(productNumber, out temp);
|
||||
|
||||
if (isSuccess)
|
||||
;
|
||||
}, () =>
|
||||
{
|
||||
string logStr =$"{DateTime.Now}产品{productNumber}出列成功：{isSuccess}，" +
|
||||
$"产品结果：{temp.ProductResult.GetEnumDescription()}，" +
|
||||
$"当前队列产品数量：{tmpDic.Count}";
|
||||
this.BeginInvoke(new MethodInvoker(delegate () {
|
||||
;
|
||||
});
|
||||
|
||||
int currentScrollPosition = richTextBox1.GetPositionFromCharIndex(richTextBox1.TextLength).Y;
|
||||
// LogAsync(DateTime.Now, LogLevel.Information, $"{camera.Name} 推理完成，产品{productNumber}");
|
||||
|
||||
richTextBox1.AppendText(logStr);
|
||||
|
||||
// 设置回原来的滚动位置
|
||||
richTextBox1.SelectionStart = richTextBox1.TextLength;
|
||||
richTextBox1.ScrollToCaret();
|
||||
}));
|
||||
}
|
||||
tryTimes--;
|
||||
Thread.Sleep(1);
|
||||
}
|
||||
if (temp == null)
|
||||
{
|
||||
//LogAsync(DateTime.Now, LogLevel.Assist, $"产品{productNumber}出列失败，" +
|
||||
// $"当前队列产品数量：{tmpDic.Count}");
|
||||
}
|
||||
else
|
||||
{
|
||||
try
|
||||
if (!product.InferenceFinished())
|
||||
{
|
||||
//重新生成实例 销毁之前的实例
|
||||
var saveData = temp.GetProductData();
|
||||
|
||||
|
||||
return;
|
||||
}
|
||||
catch (Exception) { }
|
||||
finally
|
||||
ProductNum_Total++;
|
||||
CalculateOEE();
|
||||
this.BeginInvoke(new MethodInvoker(delegate ()
|
||||
{
|
||||
// temp.Dispose();
|
||||
temp = null;
|
||||
|
||||
int currentScrollPosition = richTextBox1.GetPositionFromCharIndex(richTextBox1.TextLength).Y;
|
||||
|
||||
richTextBox1.AppendText($"统计结果成功，{productNumber}吹气！\n");
|
||||
|
||||
// 设置回原来的滚动位置
|
||||
richTextBox1.SelectionStart = richTextBox1.TextLength;
|
||||
richTextBox1.ScrollToCaret();
|
||||
}));
|
||||
#region 6.统计产品结果
|
||||
if (product.ResultCollection.Any(u => u.ResultState != ResultState.OK))
|
||||
{
|
||||
//检测结果TBD
|
||||
// CurTrigger = TriggerSettings.FirstOrDefault(u => u.TriggerType == TriggerType.B_NG);
|
||||
product.ProductResult = ResultState.B_NG;
|
||||
product.ProductLabelCategory = ResultState.B_NG.GetEnumDescription();
|
||||
product.ProductLabel = ResultState.B_NG.GetEnumDescription();
|
||||
|
||||
|
||||
}
|
||||
else
|
||||
{
|
||||
// CurTrigger = TriggerSettings.FirstOrDefault(u => u.TriggerType == TriggerType.OK);
|
||||
product.ProductResult = ResultState.OK;
|
||||
product.ProductLabelCategory = ResultState.OK.GetEnumDescription();
|
||||
product.ProductLabel = ResultState.OK.GetEnumDescription();
|
||||
}
|
||||
#endregion
|
||||
#region 7.产品吹气
|
||||
|
||||
#endregion
|
||||
|
||||
|
||||
|
||||
//LogAsync(DateTime.Now, LogLevel.Information, $"推理完成，产品{product.PieceNumber}获取结果");
|
||||
|
||||
// 统计产品结果
|
||||
//Task resultTask = product.SetProductResult(_totalDetectionNum, X017Config.IsTBDPriority, labelCategoryLists);
|
||||
|
||||
//await resultTask.ContinueWith(t =>
|
||||
//{
|
||||
// try
|
||||
// {
|
||||
// UpdateTriggerCount(DateTime.Now, "获取结果");
|
||||
// UpdateResult(DateTime.Now, camera, product.ProductResult.GetEnumDescription());
|
||||
// UpdateResultNew(DateTime.Now, camera, "合计");
|
||||
// LogAsync(DateTime.Now, LogLevel.Information, $"产品{product.PieceNumber}获取结果：{product.ProductResult} {(product.IsA2B ? "产品IsA2B" : "")}");
|
||||
|
||||
// }
|
||||
// catch (Exception ex)
|
||||
// {
|
||||
// LogAsync(DateTime.Now, LogLevel.Information, $"产品{product.PieceNumber}获取结果异常：{product.ProductResult} {(product.IsA2B ? "产品IsA2B" : "")}，" +
|
||||
// $"异常信息：{ex.GetExceptionMessage}");
|
||||
|
||||
// }
|
||||
|
||||
// // 吹气
|
||||
// DateTime dtNow = DateTime.Now;
|
||||
// product.BlowOutTime = dtNow;
|
||||
|
||||
|
||||
// var setting = X017Config.ProductBlowSettings.FirstOrDefault(s => product.ProductResult.Equals(s.ProductResult));
|
||||
|
||||
// if (setting != null)
|
||||
// {
|
||||
// uint NGNumC = 0;
|
||||
// uint OKNumC = 0;
|
||||
|
||||
// CMCDLL_NET.MCF_Sorting_Get_Lose_Blow_NG_Count_Net(ref NGNumC, 0);
|
||||
// CMCDLL_NET.MCF_Sorting_Get_Lose_Blow_OK_Count_Net(ref OKNumC, 0);
|
||||
// _mainMotion.Blow(product.PieceNumber, setting.BindBlow);
|
||||
// LogAsync(DateTime.Now, LogLevel.Action, $"产品{product.PieceNumber}吹气{NGNumC}+ {OKNumC}");
|
||||
// //if (product.ProductResult == ResultState.OK)
|
||||
// //{
|
||||
// // //OKProcessNum++;
|
||||
// // OKNum++;
|
||||
// //}
|
||||
// }
|
||||
|
||||
// //判断超时出队
|
||||
// foreach (var kvp in tmpDic)
|
||||
// {
|
||||
// try
|
||||
// {
|
||||
// ProductData dataN = kvp.Value;
|
||||
// TimeSpan timeDifference = DateTime.Now - dataN.CreateTime;
|
||||
// if (timeDifference.TotalMinutes >= 1)
|
||||
// {
|
||||
|
||||
// //出队
|
||||
// bool isremoved = tmpDic.TryRemove(kvp.Key, out _);
|
||||
// if (isremoved)
|
||||
// {
|
||||
// LogAsync(DateTime.Now, LogLevel.Error, $"====产品{kvp.Key}超时出列成功" +
|
||||
// $"产品结果：{dataN.ProductResult.GetEnumDescription()} {dataN.ProductResult}，" +
|
||||
// $"当前队列产品数量：{tmpDic.Count}====");
|
||||
|
||||
// try
|
||||
// {
|
||||
// //重新生成实例 销毁之前的实例
|
||||
// var saveData = dataN.GetProductData();
|
||||
// var productDefects = dataN.GetDetectDetailData();
|
||||
// SaveProductDataAsync(saveData, productDefects);
|
||||
// dataN = null;
|
||||
// }
|
||||
// catch (Exception) { }
|
||||
|
||||
// dataN?.Dispose();
|
||||
// }
|
||||
// else
|
||||
// {
|
||||
// LogAsync(DateTime.Now, LogLevel.Error, $"=====产品{kvp.Key}超时出列失败" +
|
||||
// $"当前队列产品数量：{tmpDic.Count}=====");
|
||||
// }
|
||||
// }
|
||||
// }
|
||||
// catch (Exception ex)
|
||||
// {
|
||||
// LogAsync(DateTime.Now, LogLevel.Error, $"=====产品{kvp.Key}超时出列失败" +
|
||||
// $"当前队列产品数量：{tmpDic.Count}====={ex.GetExceptionMessage}");
|
||||
// }
|
||||
// }
|
||||
|
||||
|
||||
|
||||
// 出列
|
||||
ProductData temp = null;
|
||||
|
||||
int tryTimes = 5;
|
||||
while (temp == null && tryTimes > 0)
|
||||
{
|
||||
var isSuccess = tmpDic.Remove(productNumber, out temp);
|
||||
|
||||
if (isSuccess)
|
||||
{
|
||||
string logStr = $"{DateTime.Now}产品{productNumber}出列成功：{isSuccess}，" +
|
||||
$"产品结果：{temp.ProductResult.GetEnumDescription()}，" +
|
||||
$"当前队列产品数量：{tmpDic.Count}";
|
||||
this.BeginInvoke(new MethodInvoker(delegate ()
|
||||
{
|
||||
|
||||
int currentScrollPosition = richTextBox1.GetPositionFromCharIndex(richTextBox1.TextLength).Y;
|
||||
|
||||
richTextBox1.AppendText(logStr);
|
||||
|
||||
// 设置回原来的滚动位置
|
||||
richTextBox1.SelectionStart = richTextBox1.TextLength;
|
||||
richTextBox1.ScrollToCaret();
|
||||
}));
|
||||
}
|
||||
tryTimes--;
|
||||
Thread.Sleep(1);
|
||||
}
|
||||
if (temp == null)
|
||||
{
|
||||
//LogAsync(DateTime.Now, LogLevel.Assist, $"产品{productNumber}出列失败，" +
|
||||
// $"当前队列产品数量：{tmpDic.Count}");
|
||||
}
|
||||
else
|
||||
{
|
||||
try
|
||||
{
|
||||
//重新生成实例 销毁之前的实例
|
||||
var saveData = temp.GetProductData();
|
||||
|
||||
|
||||
}
|
||||
catch (Exception) { }
|
||||
finally
|
||||
{
|
||||
// temp.Dispose();
|
||||
temp = null;
|
||||
}
|
||||
}
|
||||
|
||||
// UpdateCT((float)(dtNow - _ctTime).TotalSeconds);
|
||||
//_ctTime = dtNow;
|
||||
// });
|
||||
|
||||
|
||||
}
|
||||
catch (Exception ex)
|
||||
{
|
||||
//LogAsync(DateTime.Now, LogLevel.Error, $"流程检测未捕获的异常：{ex.GetExceptionMessage()}");
|
||||
product?.Dispose();
|
||||
}
|
||||
|
||||
// UpdateCT((float)(dtNow - _ctTime).TotalSeconds);
|
||||
//_ctTime = dtNow;
|
||||
// });
|
||||
|
||||
|
||||
}
|
||||
catch (Exception ex)
|
||||
{
|
||||
//LogAsync(DateTime.Now, LogLevel.Error, $"流程检测未捕获的异常：{ex.GetExceptionMessage()}");
|
||||
product?.Dispose();
|
||||
}
|
||||
});
|
||||
}
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user