研究目的
To improve the coaxial tube plate welding equipment and design a structural light positioning tube plate automatic welding robot for real-time tracking of welds.
研究成果
The tube-plate welding robot based on binocular vision positioning system successfully achieves real-time tracking of welds with high accuracy. The method can identify the coordinates and radius of the welding circle, with the maximum deviation of the tungsten needle from the center of the weld within 0.1 mm. The system improves welding quality and productivity, reduces labor intensity, and enhances the working environment.
研究不足
The study focuses on the improvement of coaxial tube plate welding equipment and the design of a structural light positioning tube plate automatic welding robot. However, it does not address the potential limitations in terms of scalability, adaptability to different welding environments, or the cost-effectiveness of the proposed system.
1：Experimental Design and Method Selection:
The study involves designing a tube plate welding robot with a binocular vision positioning system for real-time weld tracking. It includes the use of image processing technology and MATLAB software for completing the tube plate welding test.
2：Sample Selection and Data Sources:
Industrial tube plate weld images are used, captured by an industrial CCD camera.
3：List of Experimental Equipment and Materials:
Includes PC508 welding power supply, argon gas tank, touch screen, control cabinet (including PLC, light source controller, etc.), Cartesian coordinate robot, and workpiece holders.
4：Experimental Procedures and Operational Workflow:
The process involves image preprocessing (grayscale conversion, median filtering, edge detection), feature point identification and extraction, and automatic tracking of the weld.
5：Data Analysis Methods:
The study uses MATLAB for image processing to identify the coordinates and radius of the welding circle center, providing data for precise positioning and automatic welding of the welding robot welding torch.
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