摘要
为了提高焊接产品质量及生产效率,改善工人恶劣的劳动条件,运用视觉传感器采集焊缝图像,实时传送至计算机中进行图像处理。提出了焊缝实时跟踪系统的原理,设计了合理的焊接机构。选用ABB IRB1410弧焊机器人,用RobotStudio软件建立了机器人焊接工作站。通过灰度线性拉伸法处理图像后,焊缝轮廓清晰,对比度明显提高。利用图像骨架法准确提取到焊缝中心线,设计了焊缝实时处理系统,可以快速地处理图像。在机器人焊接时,控制焊枪始终与焊缝中心对齐,即可以实现焊缝实时跟踪焊接。实验结果表明,得到的图像处理流程可靠,方法准确且适应性强,设计的焊缝实时跟踪系统应用广泛。
In order to improve the quality and production efficiency of welding products and the bad working conditions of workers,visual sensors are used to collect welding seam images and transmit them to computer for image processing in real time. The principle of real-time seam tracking system is put forward,and a reasonable welding mechanism is designed. ABB IRB1410 arc welding robot was selected and robot welding workstation was established by RobotStudio software. After processing the image by gray linear stretching method,the weld contour is clear and the contrast is improved obviously. The image skeleton method is used to accurately extract the center line of the weld,and a real-time processing system for the weld is designed,which can process the image quickly. In robot welding,the real-time tracking of welding seam can be realized by controlling that the torch is always aligned with the center of welding seam. The experimental results show that the image processing flow is reliable,the method is accurate and adaptable,and the designed real-time seam tracking system is widely used.
引文
[1]李振雨,王好臣,王泽政,等.基于激光跟踪的V形坡口焊接机器人[J].科学技术与工程,2018,18(17):39-43.
[2]盛仲曦,马宏波,卫善春,等.基于视觉传感的焊缝跟踪技术[J].上海交通大学学报,2010(s1):130-133.
[3]毛鹏军,黄石生,李阳,等.焊接机器人技术发展的回顾与展望[J].焊接,2001(8):6-10.
[4]邢一思,陈新松.激光焊接实时焊缝跟踪系统研究[J].稀有金属材料与工程,2013(s2):159-162.
[5]李智,羌予践,张齐,等.船用移动焊接机器人磁吸附机构研究[J].科学技术与工程,2013,13(35):10485-10489.
[6]党向盈,杨莉.基于图像处理的高精度激光-MIG复合焊焊缝跟踪系统[J].热加工工艺,2012,41(23):176-178.
[7]田啟良,沈健,嵇保健,等. ABB弧焊机器人系统的焊接路径规划研究[J].机械设计与制造,2016(12):153-156.
[8]张岩,崔晓萌.基于灰度变换的图像增强实现[J].包装工程,2010(19):95-98.
[9]鄢治国,徐德,李原.一种基于自适应二值化阈值的焊缝边缘特征提取方法[J].焊接学报,2008,29(7):34-38.
[10]赵相宾,李亮玉,夏长亮,等.激光视觉焊缝跟踪系统图像处理[J].焊接学报,2006,27(12):42-44.