// 由XML文件生成检测任务序列
public List <DetectInfo> xmlToTaskList(string xmlPath)
{
// 1. 加载XML文件
XElement xe = XElement.Load(xmlPath);
// 2. 获取XML Device 信息
IEnumerable <XElement> devices = xe.Elements("device");
// 3. 遍历并生成任务信息，同时添加到任务序列中
List <DetectInfo> DetectList = new List <DetectInfo>();
foreach (XElement element in devices)
{
XElement eleRoi = element.Element("roiinfo");
int startX = Convert.ToInt16(eleRoi.Element("startX").Value);
int startY = Convert.ToInt16(eleRoi.Element("startY").Value);
int disX = Convert.ToInt16(eleRoi.Element("distX").Value);
int disY = Convert.ToInt16(eleRoi.Element("distY").Value);
int width = Convert.ToInt16(eleRoi.Element("width").Value);
int height = Convert.ToInt16(eleRoi.Element("height").Value);
ROIInfo roi = new ROIInfo(startX, startY, disX, disY, width, height);
XElement eleTask = element.Element("taskinfo");
int type = Convert.ToInt16(eleTask.Element("type").Value);
int subtype = Convert.ToInt16(eleTask.Element("subtype").Value);
int num = Convert.ToInt16(eleTask.Element("number").Value);
TaskInfo task = new TaskInfo(type, subtype, num);
XElement eleName = element.Element("name");
string devicename = eleName.Value;
// 此处添加参考信息，用以检测结果对应语义
ReferInfo refer = new ReferInfo();
XMLToTaskRefer(element, type, ref refer);
DetectInfo detect = new DetectInfo(devicename, roi, task, refer);
DetectList.Add(detect);
}
// 4. 返回任务序列
return(DetectList);
}
/// <summary>
/// 检测任务传递函数，抛弃
/// </summary>
/// <param name="srcPath"></param>
/// <param name="PrcdPath"></param>
/// <param name="detectinfo"></param>
/// <returns></returns>
public int DetectTaskSend(string srcPath, ref string PrcdPath, ref DetectInfo detectinfo, int cameraOption)
{
//处理结束的图像保存路径
PrcdPath = DLLDefine.ImgDBFolder + DateTime.Now.ToString("yyyy-MM-dd-HH-mm-ss") + "_Detect_" + ".jpg";
TaskInfo task = detectinfo.TASKINFO; //直接将Taskinfo输入，关于赋值是在解析配置文件时赋值
ROIInfo roi = detectinfo.ROIINFO; //直接将ROIinfo输入，关于赋值是在解析配置文件时赋值
ResultTemp resultTemp = new ResultTemp(); //处理结果临时变量
visionAlgorithm.DetectTask(srcPath, roi, task, PrcdPath, ref resultTemp, cameraOption); //调用DLL接口进行图像处理
// 数据转换
detectinfo.RESULTINFO = detectinfo.ResultTempToResultInfo(resultTemp);
// 释放内存，指针传值的地方(如果申请了内存)
if (resultTemp.arrayResult != IntPtr.Zero)
{
visionAlgorithm.ReleaseMemoryFromC(resultTemp.arrayResult);
}
return(DLLDefine.sg_OK);
}
private void processXML(string xmlpath)
{
// 1. 获取电柜信息，更新到UI ,此处可以另开线程
string house = null, cabin = null, side = null;
xmlProcess.XMLtoCabinInfo(xmlpath, ref house, ref cabin, ref side);
labelRom.Text = house;
labelCab.Text = cabin;
labelFac.Text = side;
dataGridViewStatus.Rows.Clear();
// 圆形进度条结束，定位信息显示
panelLocationDetail.Show();
circularProgressBarLocation.Value = 100;
circularProgressBarLocation.Text = "定位成功......";
circularProgressBarLocation.Style = ProgressBarStyle.Continuous;
circularProgressBarLocation.MarqueeAnimationSpeed = 0;
Delay(100); //delay是为了界面更新
// 1.2 获取新的和旧的二维码位置
//QRCodeInfo qrcode = new QRCodeInfo();
//visiondll.GetQRregion(imgPath, ref qrcode);
//QRCodeInfo qrcodeOrigin = new QRCodeInfo();
//xmlProcess.GetQRregionorigin(xmlpath, ref qrcodeOrigin);
// 1.2
int cameraSide = 0;
if (side.Equals("远侧FarFace"))
{
cameraSide = DLLDefine.sg_Camera_Far;
}
else if (side.Equals("近侧NearFace"))
{
cameraSide = DLLDefine.sg_Camera_Near;
}
else
{
MessageBox.Show("相机远近侧参数确实，请确认！");
return;
}
// 2. 分析任务序列
List <DetectInfo> detectList = xmlProcess.xmlToTaskList(xmlpath);
int detectSize = detectList.Count();
// 2.01 根据任务序列绘制ROI数组,并显示图像
ROIInfo[] roiarray = new ROIInfo[detectSize];
string roiPath = null;
dataflow.GetROIArrayFormDetectList(detectList, ref roiarray); //获取ROI数组
//dataflow.GetROIArrayFormDetectListwithQRCode(detectList, ref roiarray, qrcode, qrcodeOrigin); //获取换算之后的ROI数组,顺便把Detect的ROI也改了
visiondll.ROIArrayDraw(imgPath, roiarray, ref roiPath, cameraSide); //绘制ROI区域
pictureBoxProcessed.Image = Image.FromFile(roiPath); //显示绘制ROI后的图像
Delay(200); //delay是为了界面更新
// 2.1 分别进行检测，并更新界面进度信息
int detectNow = 0;
processUpdateUI(detectNow, detectSize); //重置UI
foreach (DetectInfo item in detectList)
{
string procdpath = null;
DetectInfo detect = item;
visiondll.DetectTaskSend(imgPath, ref procdpath, ref detect, cameraSide); //这一步得到检测结果，下一步应该是对检测结果进行一下数据的换算，需要从配置表中获取语义
// UI 结果显示 小表格（仪表名称和检测结果），显示语义，调用自身类的转换功能实现数据到语义的转换
dataGridViewStatus.Rows.Add(detect.deviceName, detect.GetResultWithRefer());
// UI 结果显示 大表格（巡检数据结果），显示序号、时间、设备名称、检测结果、报警类型,并保存到数据库
// TODO: 对检测结果进行报警判断
detectResultSave(house, cabin, detect.deviceName, detect.GetResultWithRefer(), "正常", detect.GetDetectClass());
// TODO 结果显示2. 大表格，大表格涉及到数据库的传入。暂不涉及
// UI 进度更新
detectNow = detectNow + 1;
processUpdateUI(detectNow, detectSize); //更新UI
Delay(500); //delay是为了界面更新
}
}
