Coal Transport Tape Control System Based on Machine Vision

Abstract

Coal transport security is one of the important links of mining safety in production chain. Most of Mines use long distance wire rope core belt conveyor transporting coal. By the reason of the load increases, the belt surface scratches and aging etc when the transmission belt in the long run, will cause the wire rope core corrosion, fracture, joint elongation, wire rope core and transmission belt adhesion decreased and finally the joint tensile fault. Once a fault occurs, the transmission security not only endangers mine, even causes the entire production system halted, so the security warning mechanism of coal transport tape proposed must be enforced. Article using machine vision and online transmission detection combined. In the first field observation, using the high accuracy linear array CCD real-time transmission of high-speed operation with the image acquisition and image processing threshold; Though extraction algorithm, simulation experiment and field test; finally comprehensive analysis gives the early warning scheme. The project mainly studies the transmission belt blob spot detection and algorithm with wear, based on digital image, image coding and image enhancement, compared the collected image speckle with set threshold so as to determine which set of real-time image for pre-alarm wear spots, mark the spot coordinates, at the same time to upload data in order to complete the transmission belt warning. The project solves the influence of transmission tape failure of coal production effectively.