Fault on-line detection method of steel wire rope conveyer belt based on texture regularity analysis

Abstract

The invention relates to a fault on-line detection method of a steel wire rope conveyer belt based on texture regularity analysis, belonging to the field of fault detection. The problems that in the current fault detection of the steel wire rope conveyer belt based on X-ray, the real-time performance is worse, the accuracy rate is not high, the fault detection is mainly done basing on manual analysis, and the like are solved. According to the characteristics that the gray scale of an X-ray image of the steel wire rope conveyer belt is in regular variation and the texture of the X-ray image of the steel wire rope conveyer belt is in regular strike-shaped distribution, after the input image is subjected to normalization and standardization processes, parameter values of LRB (Light Regular Band) and DRB (Dark Regular Band) of each pixel can be progressively scanned and calculated, the parameter values of the LRB and the DRB of each pixel can be subtracted from the parameter values of the LRB and the DRB of the whole image, then the difference value can be compared with a threshold value obtained in a training stage, thus whether the fault exists or not can be judged, and a fault area can be detected from the fault image. According to the fault on-line detection method of the steel wire rope conveyer belt based on the texture regularity analysis, disclosed by the invention, the fault detection of the steel wire rope conveyer belt can be online, automatically and accurately realized.

Description

technical field [0001] The invention belongs to the field of fault detection, and in particular relates to a threshold value acquisition and fault online detection method based on texture regularity analysis in steel cord conveyor belt fault detection. Background technique [0002] Steel cord conveyor belts are widely used in coal mine production. Faults occur due to various reasons during use. If they are not detected and dealt with in time, safety accidents such as broken belts or longitudinal tearing will occur, which will seriously affect safe production. [1-3] . Therefore, each coal mine has formulated a corresponding inspection system for steel cord conveyor belts. [0003] For the detection of steel cord conveyor belts, in addition to manual detection, researchers have also proposed effective methods such as eddy current detection, magnetic induction detection, shock wave detection and X-ray detection, and have been applied to a certain extent. [4-9] . Among them, ...

AI Technical Summary

Problems solved by technology

[0016] The purpose of the present invention is to propose an online fault detection method for steel cord conveyor belts based on X-ray imaging, to solve the problem that current X-ray-based steel cord conveyor belt fault detection has poor real-time performance, low accuracy, and mainly relies on manual analysis, etc. question

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