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

A technology of steel wire rope core and detection method, which is applied in the direction of material analysis, instrument and calculation using radiation, can solve the problems of relying on manual analysis, poor real-time detection and low accuracy.

Active Publication Date: 2012-06-27
TIANJIN POLYTECHNIC UNIV +2
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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

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

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Embodiment Construction

[0068] The specific implementation of the present invention will be described in detail below in conjunction with the accompanying drawings and examples.

[0069] The method that the present invention proposes is divided into two phases during concrete implementation, promptly needs to obtain the threshold value needed for discriminating through training phase at first, and the operation flow diagram of wire rope core conveyer belt fault on-line detection training phase is as attached figure 1 shown; then in the detection stage, the detection of the image to be detected is realized, and the operation flow chart of the online detection detection stage of the steel cord conveyor belt fault is shown in the attached figure 2 shown.

[0070] The steel cords in the steel cord conveyor belt are arranged longitudinally at a certain interval, and its X-ray images have strong texture characteristics, that is, the gray scale of the image changes regularly, and the texture is distributed...

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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, ...

Claims

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Application Information

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IPC IPC(8): G01N23/04G06K9/66
Inventor 苗长云李现国沈庆磊仲为亮余竟逸
Owner TIANJIN POLYTECHNIC UNIV
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