基于单目视觉的电梯曳引轮磨损检测系统研制

Development of elevator traction sheave wear detection system based on monocular vision

为了实现对电梯曳引轮绳槽磨损的非接触式精确测量,研制了基于单目视觉技术的曳引轮绳槽磨损检测系统。通过专用的卡具将工业相机固定在钢丝绳内侧,对准各绳槽采集图像。利用OpenCV进行图像预处理和绳槽边缘检测,采用最小二乘法进行绳槽边缘数值拟合,再根据物理模型结构对计算值给予遮挡补偿,实现钢丝绳触底距离实时精确测量。实验结果表明,系统测量均方根误差小于0.07 mm,较传统的塞尺测量拥有高精度和简易性,能够准确测量绳槽磨损下沉量。

In order to achieve non-contact accurate measurement of the mechanical wear of the elevator traction sheave rope groove,a wear detection system for the elevator traction sheave rope grooves was developed based on monocular vision technology.The industrial camera was fixed on the inner side of the steel wire rope through a special fixture,and the images were collected by aligning each rope groove.OpenCV was used for image preprocessing and rope groove edge detection,least squares method was used for rope groove edge numerical fitting,and then according to the physical model structure,the calculated value was compensated for the occlusion to achieve real-time accurate measurement of the bottoming distance of the wire rope.The experimental results indicated that the RMSE of system measurement is less than 0.07 mm,the system has higher accuracy and simplicity than traditional manual measurement methods,and can be used to accurately measure the amount of wear and sink of the sheave groove.