基于机器视觉技术的电梯曳引轮磨损检测研究  

Research on Elevator Traction Wheel Wear Detection Based on Machine Vision Technology

作　　者：林宁 LIN Ning(Fujian Special Equipment Inspection and Research Institute,Quanzhou branch,Quanzhou 362000,China)

机构地区：[1]福建省特种设备检验研究院泉州分院,泉州362000

出　　处：《微特电机》2022年第3期26-30,共5页Small & Special Electrical Machines

基　　金：国家重点社科基金项目(20150324JK)。

摘　　要：研究基于机器视觉技术的电梯曳引轮磨损检测方法,利用机器视觉技术实现电梯曳引轮磨损量的非接触式精准检测。通过CCD相机与高倍高分辨光学镜头结合的方式,采集电梯曳引轮图象,利用畸变模型校正图象采集过程中的畸变情况;通过双边滤波、梯度计算以及双阈值化处理三个过程,预处理畸变校正后图象;利用校正后图象通过轮廓定位与边缘拟合方法获取电梯曳引轮曳引绳与曳引轮槽间隙,计算电梯曳引轮绳槽间隙的遮挡补偿量,获取最终电梯曳引轮磨损检测结果。实验结果表明,该方法可实现电梯曳引轮磨损量的精准检测,检测结果与实际结果吻合,利用磨损检测结果提升曳引式电梯运行安全性。The wear detection method of elevator traction wheel based on machine vision technology was studied,and the non-contact accurate detection of the wear of elevator traction wheel was realized by using machine vision technology.The traction wheel image was collected by the combination of CCD camera and high power and high resolution optical lens.The distortion model was used to correct the distortion in the process of image acquisition.The distortion corrected image was preprocessed through bilateral filtering,gradient calculation and double threshold processing.By using the corrected image,the gap between the traction rope and the traction wheel groove of the elevator traction wheel was obtained by contour positioning and edge fitting method,and the final detection results of the traction wheel wear were obtained by calculating the shielding compensation of the gap between the traction wheel rope groove.The experimental results show that the proposed method can accurately detect the wear of traction wheels,and the test results are consistent with the actual results.The safety of traction elevators can be improved by using the wear test results.

关 键 词：机器视觉技术 电梯曳引轮 磨损检测 双边滤波 畸变模型 双阈值化 

分 类 号：TM306[电气工程—电机]