| 刘士兴,周启航,马登科,刘光柱.基于单目视觉的电梯曳引轮磨损检测系统研制[J].电子测量与仪器学报,2020,34(9):55-61 |
| 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 |
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| DOI： |
| 中文关键词: 曳引轮 单目视觉 边缘拟合 遮挡补偿 |
| 英文关键词:traction sheave monocular vision edge numerical fitting occlusion compensation |
| 基金项目:安徽省质量技术监督科技计划项目(2018AHQT26)资助 |
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| 中文摘要: |
| 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。 |
| 英文摘要: |
| 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. |
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