The Study of Detection for Longitudinal Rip of Coal Conveyor Belt Based on MATLAB

Conveyor is one of the important mining equipment in the coal mine and the belt is the key component of the conveyor. Once the belt is torn longitudinally, if the measures are not taken in time, the entire conveyor belt will be torn completely, which will cause serious economic losses. To solve this problem, this paper studies a method to detect longitudinal rip of coal conveyor belt by applying MATLAB and knowledge of image processing. By extracting the longitudinal rip part of the image, combining with edge detection, then calculating the area of the longitudinal rip part with a new algorithm, at last comparing this area with the minimum area of the longitudinal rip set by system, it can be judged whether the belt has been longitudinally torn. So control signal can be provided to the control equipment to prevent the conveyor belt from continuing to be torn.