针对目前无损检测过程中的大量人工操作、检测效率低下和检测精度低的特点,提出了一种搭载于工业机器人的无损检测系统的设计方法,实现了系统的软硬件设计。设计的机器人系统具有4个自由度,可以实现三维空间的立体检测,并采用自适应模糊推理系统提高检测适应性。系统采用彩色图像分割算法和自适应区域生长图像分割算法都能有效提取出缺陷区域。应用结果表明系统稳定性好、检测精度高,大大提高了检测效率。
In order to solve the low efficiency and poor precision problems of traditional manual operation on nondestructive flaw detection,an integrated nondestructive flaw detection system installed on an industrial robot is described.The developed industrial robot with 4-dof can perform detection in three-dimensional space and adaptive-network-based fuzzy inference system is adopted to improve adaptability.A color image segmentation algorithm and an adaptive region growing algorithm are adopted and proved to be effective in defect region extraction.Actual results indicate that the developed system has advantages of good stability and high precision and great improvement of detection efficiency.