At present, there is no appropriate way to measure the transverse vibration response of moving hoisting vertical rope in hoist. Therefore, a vision-based measurement method combining the digital image correlation (DIC) and digital image processing (DIP) algorithms is proposed in this paper. In this method, a reference line perpendicular to the vertical ropes is added in image sequence by DIP algorithm to form some virtual cross targets, which makes the improved DIC algorithm with adaptive template updating (ATU) rule can track the moving hoisting vertical rope without any labels. Then for distinguishing all ropes in the measuring area, a displacement threshold is set to locate the current measured rope and exclude the other ropes. The transverse vibration displacements of the hoisting vertical rope in an actual mine hoist was measured in three background situations, verifying the feasibility of the proposed method. Moreover, in a laboratory artificial vibration test, the measurement results from the proposed vision method and a laser displacement sensor yielded a very good agreement. The two experimental results indicate that it is fairly reasonable and effective to measure the transverse vibration displacements of hoisting vertical ropes.

目前还没有合适的方法来测量提升机中移动起重垂直绳的横向振动响应。因此，本文提出了一种结合数字图像相关（DIC）和数字图像处理（DIP）算法的基于视觉的测量方法。该方法通过DIP算法在图像序列中加入一条垂直于垂直绳索的参考线，形成一些虚拟交叉目标，这使得具有自适应模板更新（ATU）规则的改进DIC算法可以跟踪移动的起重垂直绳索而无需任何标签。然后为了区分测量区域内的所有绳索，设置位移阈值来定位当前被测绳索并排除其他绳索。在三种背景情况下测量了实际矿井提升机中提升垂直绳索的横向振动位移，验证了该方法的可行性。此外，在实验室人工振动测试中，所提出的视觉方法和激光位移传感器的测量结果产生了非常好的一致性。两个实验结果表明，测量提升垂直绳索的横向振动位移是相当合理和有效的。