diff --git a/DH.Devices.PLC/XinJEPLCTcpNet.cs b/DH.Devices.PLC/XinJEPLCTcpNet.cs index 42e5cc6..5241bc9 100644 --- a/DH.Devices.PLC/XinJEPLCTcpNet.cs +++ b/DH.Devices.PLC/XinJEPLCTcpNet.cs @@ -49,7 +49,7 @@ namespace DH.Devices.PLC { connected = true; MonitorPieces(); - TurntableOpen(18000,true); + TurntableOpen(2000,true); return true; } diff --git a/DH.Devices.Vision/SimboObjectDetection.cs b/DH.Devices.Vision/SimboObjectDetection.cs index 9ef5e57..6e60836 100644 --- a/DH.Devices.Vision/SimboObjectDetection.cs +++ b/DH.Devices.Vision/SimboObjectDetection.cs @@ -12,6 +12,7 @@ using System.Threading; using System.Threading.Tasks; using System.Runtime.InteropServices; using Newtonsoft.Json; +using System.Xml; namespace DH.Devices.Vision @@ -171,7 +172,7 @@ namespace DH.Devices.Vision { MLResult mlResult = new MLResult(); Mat originMat=new Mat() ; - Mat detectMat; + Mat detectMat= new Mat(); try { if (req.mImage == null) @@ -182,7 +183,7 @@ namespace DH.Devices.Vision } // resize - detectMat = req.mImage;//1ms + detectMat = req.mImage.Clone();//1ms @@ -200,9 +201,10 @@ namespace DH.Devices.Vision else if (detectMat.Channels() == 3) { // 如果已经是三通道（BGR），则直接转换为RGB - - Cv2.CvtColor( detectMat,originMat, ColorConversionCodes.BGR2RGB); - + + // Cv2.CvtColor( detectMat,originMat, ColorConversionCodes.BGR2RGB); + // 直接使用原始图像 + originMat = detectMat.Clone(); } //输入数据转化为字节 @@ -225,7 +227,7 @@ namespace DH.Devices.Vision req.confThreshold, req.iouThreshold, ref outputByte[0], ref labellist[0]); - //mlResult.IsSuccess = true; + // mlResult.IsSuccess = true; } sw.Stop(); @@ -257,10 +259,19 @@ namespace DH.Devices.Vision } finally { - req.mImage?.Dispose(); - req.mImage = null; - - originMat = null; + // 释放 Mat 资源 + if (detectMat != null) + { + detectMat.Dispose(); + detectMat = null; + } + + if (originMat != null) + { + originMat.Dispose(); + originMat = null; + } + // GC.Collect(); diff --git a/DHSoftware/MainWindow.cs b/DHSoftware/MainWindow.cs index 1a26d3e..d3e14cd 100644 --- a/DHSoftware/MainWindow.cs +++ b/DHSoftware/MainWindow.cs @@ -317,22 +317,22 @@ namespace DHSoftware det2.CameraCollects = CameraCollects2; - det1.ModelconfThreshold = Conf; - det1.ModelWidth = 640; - det1.ModelHeight = 640; - det1.in_lable_path = " D:\\PROJECTS\\MaodingTest1\\Vision\\cam2.txt"; + det2.ModelconfThreshold = Conf; + det2.ModelWidth = 640; + det2.ModelHeight = 640; + det2.in_lable_path = " D:\\PROJECTS\\MaodingTest1\\Vision\\cam2.txt"; det3.CameraCollects = CameraCollects3; - det1.ModelconfThreshold = Conf; - det1.ModelWidth = 640; - det1.ModelHeight = 640; - det1.in_lable_path = " D:\\PROJECTS\\MaodingTest1\\Vision\\cam3.txt"; + det3.ModelconfThreshold = Conf; + det3.ModelWidth = 640; + det3.ModelHeight = 640; + det3.in_lable_path = " D:\\PROJECTS\\MaodingTest1\\Vision\\cam3.txt"; det4.CameraCollects = CameraCollects4; - det1.ModelconfThreshold = Conf; - det1.ModelWidth = 640; - det1.ModelHeight = 640; - det1.in_lable_path = " D:\\PROJECTS\\MaodingTest1\\Vision\\cam4.txt"; + det4.ModelconfThreshold = Conf; + det4.ModelWidth = 640; + det4.ModelHeight = 640; + det4.in_lable_path = " D:\\PROJECTS\\MaodingTest1\\Vision\\cam4.txt"; detectionList.Add(det1); detectionList.Add(det2); @@ -401,11 +401,8 @@ namespace DHSoftware simbo2.Load(mLInit2); - for(int i = 0;i { - // 拍照计数与物件编号一致，查找对应的产品 - ProductData product = null; - //内外壁模组多个相机的处理方法 - //计算队列的方法不变 - int index = PieceNumberToIndex(productNumber); - // 找到产品存放在哪个队列里 - ConcurrentDictionary tmpDic = _productLists[index]; - - try + using (Mat localImageSet = imageSet.Clone()) // 复制 Mat 避免并发问题 { - int retryTimes = 100; - while (product == null && retryTimes > 0) + // 拍照计数与物件编号一致，查找对应的产品 + ProductData product = null; + //内外壁模组多个相机的处理方法 + //计算队列的方法不变 + int index = PieceNumberToIndex(productNumber); + // 找到产品存放在哪个队列里 + ConcurrentDictionary tmpDic = _productLists[index]; + + try { - if (tmpDic.ContainsKey(productNumber)) + int retryTimes = 100; + while (product == null && retryTimes > 0) { - product = tmpDic[productNumber]; - } - else - { - Thread.Sleep(20); - } - retryTimes--; - } - // 如果产品为空，则销毁图片，提示错误 - if (null == product) - { - List pnList = tmpDic.Keys.ToList(); - - string pnStr = ""; - if (pnList != null && pnList.Count > 0) - { - pnStr = string.Join(",", pnList); - } - - //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}"); - imageSet.Dispose(); - return; - } - - // LogAsync(DateTime.Now, LogLevel.Information, $"{camera.Name} 找到产品{productNumber}，队列{index}数量：{tmpDic.Count}"); - - if (!_cameraRelatedDetectionDict.ContainsKey(camera.CameraName)) - { - if (imageSet != null) - { - imageSet?.Dispose(); - imageSet = null; - } - imageSet.Dispose(); - // LogAsync(DateTime.Now, LogLevel.Warning, $"{camera.Name} 找到产品{productNumber}，但是没有推理1"); - - return; - } - - - double totalTime = 0.0; - List resultStates = new List(); - List? detectionDict = _cameraRelatedDetectionDict[camera.CameraName]; - if (detectionDict.Count == 0) - { - //LogAsync(DateTime.Now, LogLevel.Warning, $"{camera.Name} 找到产品{productNumber}，但是没有推理3"); - } - - for (int i = 0; i < detectionDict.Count; i++) - { - string detectionId = detectionDict[i]; - try - { - DetectionConfig detectConfig = null; - //找到对应的配置 - if (!string.IsNullOrWhiteSpace(detectionId)) + if (tmpDic.ContainsKey(productNumber)) { - detectConfig = detectionList.FirstOrDefault(u => u.Id == detectionId); + product = tmpDic[productNumber]; } else { - detectConfig = detectionList.FirstOrDefault(u => u.CameraSourceId == camera.CameraName); + Thread.Sleep(20); + } + retryTimes--; + } + // 如果产品为空，则销毁图片，提示错误 + if (null == product) + { + List pnList = tmpDic.Keys.ToList(); + + string pnStr = ""; + if (pnList != null && pnList.Count > 0) + { + pnStr = string.Join(",", pnList); } - if (detectConfig == null) - { - - //未能获得检测配置 - return ; - } + //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}"); + localImageSet.Dispose(); + return; + } - - #region 1.预处理 - #endregion - #region 2.深度学习推理 - var req = new MLRequest(); + // LogAsync(DateTime.Now, LogLevel.Information, $"{camera.Name} 找到产品{productNumber}，队列{index}数量：{tmpDic.Count}"); - req.mImage = imageSet.Clone(); - req.ResizeWidth = detectConfig.ModelWidth; - req.ResizeHeight = detectConfig.ModelHeight; - req.confThreshold = detectConfig.ModelconfThreshold; - req.iouThreshold = 0.3f; - req.out_node_name = detectConfig.ModeloutNodeName; - req.in_lable_path = detectConfig.in_lable_path; - //req.LabelNames = dc.GetLabelNames(); + if (!_cameraRelatedDetectionDict.ContainsKey(camera.CameraName)) + { - //HOperatorSet.WriteImage(req.HImage, "png", 0, @"D:\\666.png"); - Stopwatch - sw = new Stopwatch(); - sw.Start(); - - - var result = Dectection[detectionId].RunInference(req); - sw.Stop(); - //LogAsync(DateTime.Now, LogLevel.Information, $"{camera.Name} 推理进度1.1，产品{productNumber}，耗时{sw.ElapsedMilliseconds}ms"); - #endregion - #region 3.后处理 - DetectStationResult detectResult = new DetectStationResult(); - if (result == null || (result != null && !result.IsSuccess)) + localImageSet.Dispose(); + // LogAsync(DateTime.Now, LogLevel.Warning, $"{camera.Name} 找到产品{productNumber}，但是没有推理1"); + + return; + } + + + double totalTime = 0.0; + List resultStates = new List(); + List? detectionDict = _cameraRelatedDetectionDict[camera.CameraName]; + + + for (int i = 0; i < detectionDict.Count; i++) + { + string detectionId = detectionDict[i]; + try { - detectResult.IsMLDetectDone = false; - } - if (result != null && result.IsSuccess) - { - detectResult.DetectDetails = result.ResultDetails; - if (detectResult.DetectDetails != null) + DetectionConfig detectConfig = null; + //找到对应的配置 + if (!string.IsNullOrWhiteSpace(detectionId)) { + detectConfig = detectionList.FirstOrDefault(u => u.Id == detectionId); } else + { + detectConfig = detectionList.FirstOrDefault(u => u.CameraSourceId == camera.CameraName); + } + + if (detectConfig == null) + { + + //未能获得检测配置 + return; + } + + + #region 1.预处理 + #endregion + #region 2.深度学习推理 + var req = new MLRequest(); + + req.mImage = localImageSet.Clone(); + //req.ResizeWidth = detectConfig.ModelWidth; + //req.ResizeHeight = detectConfig.ModelHeight; + //req.confThreshold = detectConfig.ModelconfThreshold; + //req.iouThreshold = 0.3f; + //req.out_node_name = detectConfig.ModeloutNodeName; + //req.in_lable_path = detectConfig.in_lable_path; + req.ResizeWidth = 640; + req.ResizeHeight = 640; + req.confThreshold = 0.5f; + req.iouThreshold = 0.3f; + req.out_node_name = "output0"; + req.in_lable_path = "D:\\PROJECTS\\MaodingTest1\\Vision\\cam1.txt"; + //req.LabelNames = dc.GetLabelNames(); + + //HOperatorSet.WriteImage(req.HImage, "png", 0, @"D:\\666.png"); + Stopwatch + sw = new Stopwatch(); + sw.Start(); + + + var result = Dectection[detectionId].RunInference(req); + sw.Stop(); + //LogAsync(DateTime.Now, LogLevel.Information, $"{camera.Name} 推理进度1.1，产品{productNumber}，耗时{sw.ElapsedMilliseconds}ms"); + #endregion + this.BeginInvoke(new MethodInvoker(delegate () + { + if (pictureBox1.Image != null) + { + pictureBox1.Image.Dispose(); // 释放旧图像 + } + pictureBox1.Image = result.ResultMap; + richTextBox1.AppendText($"推理成功 {productNumber}, {result.IsSuccess} 耗时 {sw.ElapsedMilliseconds}ms\n"); + })); + req.mImage.Dispose(); +#if true + + #region 3.后处理 + DetectStationResult detectResult = new DetectStationResult(); + if (result == null || (result != null && !result.IsSuccess)) { detectResult.IsMLDetectDone = false; } - } - #endregion - #region 3.后处理 - #endregion - //根据那些得分大于阈值的推理结果，判断产品是否成功 - #region 4.最终过滤（逻辑过滤） - detectResult.DetectDetails?.ForEach(d => - { - - - //当前检测项的 过滤条件 - //var conditionList = detectConfig.DetectionFilterList - // .Where(u => u.IsEnabled && u.LabelName == d.LabelName) - // .GroupBy(u => u.ResultState) - // .OrderBy(u => u.Key) - // .ToList(); - //当前检测项的 过滤条件 - var conditionList = detectConfig.DetectionFilterList - .Where(u => u.IsEnabled && u.LabelName == d.LabelName) - .GroupBy(u => u.ResultState) - .OrderBy(u => u.Key) - .ToList(); - - if (conditionList.Count == 0) + if (result != null && result.IsSuccess) { - - if (d.LabelName.ToLower() == "ok") + detectResult.DetectDetails = result.ResultDetails; + if (detectResult.DetectDetails != null) { - d.FinalResult = d.InferenceResult = ResultState.OK; } else { - d.FinalResult = d.InferenceResult = ResultState.DetectNG; + detectResult.IsMLDetectDone = false; } } - else + + #endregion + #region 3.后处理 + #endregion + //根据那些得分大于阈值的推理结果，判断产品是否成功 + #region 4.最终过滤（逻辑过滤） + detectResult.DetectDetails?.ForEach(d => { - if (detectConfig.IsMixModel) + + + //当前检测项的 过滤条件 + //var conditionList = detectConfig.DetectionFilterList + // .Where(u => u.IsEnabled && u.LabelName == d.LabelName) + // .GroupBy(u => u.ResultState) + // .OrderBy(u => u.Key) + // .ToList(); + //当前检测项的 过滤条件 + var conditionList = detectConfig.DetectionFilterList + .Where(u => u.IsEnabled && u.LabelName == d.LabelName) + .GroupBy(u => u.ResultState) + .OrderBy(u => u.Key) + .ToList(); + + if (conditionList.Count == 0) { - d.FinalResult = d.InferenceResult = ResultState.A_NG; + + if (d.LabelName.ToLower() == "ok") + { + d.FinalResult = d.InferenceResult = ResultState.OK; + } + else + { + d.FinalResult = d.InferenceResult = ResultState.DetectNG; + } } else { - //将所有已将筛选出来的缺陷进行过滤 - d.FinalResult = d.InferenceResult = ResultState.OK; + if (detectConfig.IsMixModel) + { + d.FinalResult = d.InferenceResult = ResultState.A_NG; + } + else + { + //将所有已将筛选出来的缺陷进行过滤 + d.FinalResult = d.InferenceResult = ResultState.OK; + } + + } - } + foreach (IGrouping group in conditionList) + { + bool b = group.ToList().Any(f => + { + return f.FilterOperation(d); + }); - foreach (IGrouping 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(); } }); }