Investigation On Workpiece Measuring System Based On Point Laser And Monocular Vision

The bridge support seat is an important connector for the upper and lower parts of the bridge.As a large and complex workpiece,its three-dimensional size detection task is relatively heavy.With the continuous development of mechanical production in the direction of automation,three-dimensional visual inspection is gradually accepted by the market for its application in industrial manufacturing inspection due to its unique advantages.The threedimensional vision measurement technology can avoid the influence of external factors.The precision is high,the non-contact detection speed is fast,the assembly is simple,and it can be applied to the detection of products of different specifications.It has inestimable value in the measurement of machining and assembly,and has received extensive attention and research in mechanical manufacturing and production.In order to solve the problem that the traditional contact measurement technology cannot rely on a single tool and quickly obtain the threedimensional dimensions of the part,a device with simple operation and rapid measurement of the workpiece size was designed and the preliminary measurement experiment was completed.Bridge support seat is a main product of an enterprise.Due to the large variety of support seats and the large size,in order to achieve rapid and intelligent measurement,this article based on industrial cameras and establishes an intelligent measurement platform through secondary development.The main research of this paper include:1.Considering the large size of the workpiece,choose an industrial robot as the scanner’s moving mechanism.The industrial robot has a high level of intelligence.By downloading the PCSDK library and using the C # language to write a human-computer interaction system,using it to controlle the industrial robot;2.Use the netDXF library to read dxf file information using AutoCAD engineering drawing technology,obtain the size of the workpiece to be measured,and plan the robot trajectory;3.Select a standard ring light source to light the workpiece,use the analog input module to obtain the data information of the point laser ranging offset sensor to obtain the height information of the workpiece;use C# and Emgu-Cv library to study the image processing and feature point extraction.Mainly completed the calibration of the camera and the determination of the matrix conversion relationship of the entire detection system and system calibration,data acquisition and processing of several parts.4.Based on the VB.net platform,research on OpenCV image processing technology,digital information acquisition technology,data storage and processing technology,robot and camera secondary development technology,analyze the actual measurement needs and establish design ideas,Design the construction plan of the experimental platform.It is determined to use the IRB120 robot,ADAM-4117 digital signal receiver,industrial camera and point laser sensor as tools to independently design the bridge support automatic detection platform to achieve the acquisition of three-dimensional information of the workpiece.The modular design idea divides the program design into the main control interface,the information interaction transmission layer,the specific function processing layer,builds a complete detection system,and uses the design experiment platform to actually verify and analyze the bridge support,which greatly improves the bridge support.The detection efficiency has high research value and reference value.