摘要
为了解决在电声器件的自动化焊接过程中所存在的焊点定位精度不高,焊线偏离焊头等问题,介绍了一种基于视觉软件HALCON的焊点定位系统。该系统包含硬件设计、图像处理与运动控制三部分,首先将采集到的图像进行处理以提取图像焊点坐标,然后通过坐标标定将所得到的焊点坐标转换到运动平台坐标系中,最后配合运动控制器进行焊点定位。通过多次实验,验证了利用机器视觉技术可以实现电声器件漆包线引线点焊的精确定位。相对人工焊接方式,采用机器视觉技术后自动焊接效率高,焊接质量良好,其重复定位精度可以达到0.016 mm。
In order to solve the problems that exist in the process of automatic wehting in electroacoustic device,such as low solder joint positioning accuracy,deviation of welding line from its welding head and so on,this paper introduces a HALCON-based welding joint positioning system. And the system includes three parts:hardware design module,image processing module and motion control module.First,visual system processes the collected images,and then transfers solder joint coordinates to motion platform coordinate system through the coordinate calibration, finally finds position with motion controller. Through several tests, it turns out that the precise positioning of solder joints in electroacoustic device enameled wires can be achieved by taking advantage of machine vision techniques. Compared with manual welding,automatic welding is of high efficiency,and can yield high quality welds by using machine vision techniques. Moreover, its repositioning precision can reach as good as 0.016 mm.
出处
《电焊机》
2017年第3期49-53,共5页
Electric Welding Machine
基金
广东省微纳加工技术与装备重点实验室开放基金项目(GDMNML2013-05)
非传统制造技术及装备重点实验室(201605030007)
关键词
HALCON
图像处理
坐标系标定
焊点定位
Halcon
image processing
coordinate calibration
welding joint positioning