Monitoring Method for Longitudinal Tear of Conveyor Belt in Mine Belt Conveyor Based on Machine Vision
HE Jiang
Abstract：To achieve precise detection and continuous monitoring of longitudinal tears in mine belt conveyor belts,a machine vision-based monitoring method was proposed.An industrial camera was selected as the image acquisition device to design the exposure time for image acquisition of the conveyor belt based on machine vision.Image preprocessing was achieved through noise removal,contrast enhancement,and feature extraction.Based on the processing results,longitudinal tear damage localization and tracking monitoring of the mine belt conveyor belt were carried out.Experimental results showed that the designed method excelled in longitudinal tear detection of the conveyor belt,with a detection accuracy of over 90％,an average absolute error of only 0.05 mm,and a maximum deviation of no more than 0.10 mm.The designed method can detect the location of longitudinal tears in the conveyor belt and based on precise measurement of the tear length,achieve continuous monitoring of longitudinal tears in the conveyor belt.
Keywords：machine visionexposure timemonitoring methodslongitudinal tearingconveyor beltmine belt conveyor
Publication Date：2025-10-30
Online Publishing Date：2025-12-24(First online date of this platform, not the publication date of the document)
Pages：5( 56-60 )