【摘要】 介绍了一个大直径不锈钢等离子弧焊管纵缝焊缝跟踪系统。该系统利用视觉传感器将熔池与接缝拍摄在一幅图像中,检测出接缝偏差然后驱动工件运动使接缝对准焊枪。提出了一种新颖的基于机器视觉的熔池区域图像处理算法。该算法以20帧/s的速度实时处理图像并提取出三个特征量用来计算接缝偏差。试验证明这种算法是有效的,并且能够满足系统的实时响应要求。更多还原

【Abstract】 A PAW (plasma arc welding) longitudinal seam tracking system was introduced, which senses the molten pool and the seam in the same image by a vision sensor, then calculates the seam deviation and adjusts the work piece adaptively move to the seam position sensed by the vision sensor. A novel molten pool area image-processing algorithm based on machine vision was described. The algorithm processes each image at the speed of 20 frames per second in real-time to extract three feature variables then which are used to calculate the seam deviation. It is proved experimentally that the algorithm is fast and effective which can satisfy the requirements of the system’s real-time response ability.更多还原