Method for online detection of longitudinal tear fault of conveyor belt

Abstract

The invention provides a method for online detection of a longitudinal tear fault of a conveyor belt, and belongs to the field of non-destructive testing. The purpose of online detection of the longitudinal tear fault of the conveyor belt is achieved, and the accuracy and the real-time performance of detection are improved. According to the invention, defogging enhancement processing is conducted on acquired conveyor belt images in terms of a gray level morphology gradient and a defogging enhancement algorithm of a single-scale Retinex (SSR) algorithm, and therefore the image quality of the conveyor belt images is improved; conveyor belt binary images are acquired in terms of a threshold segmentation algorithm of an improved genetic algorithm of a gray level average method; and a conveyor belt longitudinal tear image feature extraction and fault recognition algorithm with the combination between a conveyor belt longitudinal tear fault pre-judgment and geometric feature statistical method and a minimum distance classifier is adopted, and therefore the accuracy and the real-time performance of online detection of the longitudinal tear fault are improved. The method has high use value in the process of industrial application.

Description

Technical field [0001] The invention belongs to the field of non-destructive testing, and in particular relates to an online detection method for longitudinal tearing faults in non-destructive testing of conveyor belts based on machine vision. Background technique [0002] Belt conveyor is a kind of continuous transportation equipment in modern production. It has the advantages of large transportation volume, long transportation distance, low energy consumption, low freight, high efficiency, stable operation, convenient loading and unloading, and suitable for bulk transportation. Together, the train has become the three major industrial transportation tools, and has been widely used in coal, mining, ports, electric power, metallurgy, chemical and other fields. Conveyor belt is the key component of traction and load bearing of belt conveyor [1] . Due to the complex use environment of conveyor belts, failures often occur during use. If the failures are not detected and dealt with ...

AI Technical Summary

Problems solved by technology

[0003] The detection method for the longitudinal tear of the conveyor belt includes detecting the material leakage of the conveyor belt and the shedding of the steel wire rope or rubber through pressure, electromagnetic and other sensors, and judging the longitudinal tear fault. The main detection equipment includes a material leakage detection device and a fishing line type detection device. , vibration-measuring detection devices, metal coil detectors, magnetic rubber detectors, roller-type detectors, etc., all have shortcomings such as poor accuracy and reliability, and easy damage [3-8]

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