Vision-based 2D Vibration Displacement Measurement of Hoisting Vertical Rope in Mine Hoist

Abstract

In this paper, a non-contact, unmarked computer vision measurement method is presented and applied to measure the two-dimensional (2D) vibration displacement of hoisting vertical ropes. In this method, the primary work is to perform camera calibration of monocular vision using a neural network (NN) model. Then, in the image sequence, a straight line perpendicular to the hoisting rope is added by digital image processing (DIP) method, and their intersection region is regarded as the measuring target. Digital image correlation (DIC) algorithm at sub-pixel level is applied to locate the measuring target in image sequence. This method is used to measure the vibration displacement of an actual hoisting rope in mine, and the measurement results of three targets on the rope are consistent with tiny amplitude differences, which indicates that this method is feasible for the vibration measurement of hoisting vertical rope.