Method for Detecting Weld Feature Size Based on Line Structured Light

基于线结构光的焊缝特征尺寸检测方法

With the rapid development of the machining and manufacturing industry,welding has been widely used in forming connections of structural parts.At present,manual methods are often used for welding and quality inspection,with low efficiency and unstable product quality.Due to the requirements of visual inspection of weld feature size,a visual inspection system for weld feature size based on line structured light(LSL)is designed and built in this paper.An adaptive light stripe sub-pixel center extraction algorithm and a feature point extraction algorithm for welding light stripe are proposed.The experiment results show that the detection error of the weld width is 0.216 mm,the detection error of the remaining height is 0.035 mm,the single measurement costs 109 ms,and the inspection stability and repeatability of the system is 1%.Our approach can meet the online detection requirements of practical applications.

随着机械加工与制造行业的迅速发展,焊接已被广泛运用于结构件的成型连接中。目前多采用人工方式进行焊接和焊缝质量检测,生产效率低下,产品质量不稳定。本文针对焊缝特征尺寸视觉检测需求,以焊缝为研究对象,搭建了基于线结构光的焊缝特征尺寸视觉检测系统,提出了一种自适应的光条亚像素中心提取算法和一种焊缝光条的特征点提取算法。实验结果表明:焊缝宽度的检测误差为0.216 mm,焊缝余高的检测误差为0.035 mm,单次测量在109 ms内,系统的检测稳定性和重复性为1%,满足了实际应用的在线检测要求。