Mine wire rope dynamic flaw detection method and device based on machine vision

A machine vision and flaw detection technology, applied in the field of image processing, can solve the problems of complex equipment, high cost, error in detection results, etc., and achieve the effect of accurate position, simple operation and fast speed.

Active Publication Date: 2018-12-07
TAIYUAN UNIV OF TECH
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

This method has complex equipment and high cost, and the signal is easily distorted by externa

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  • Mine wire rope dynamic flaw detection method and device based on machine vision
  • Mine wire rope dynamic flaw detection method and device based on machine vision
  • Mine wire rope dynamic flaw detection method and device based on machine vision

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Embodiment Construction

[0039]In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below. Obviously, the described embodiments are part of the embodiments of the present invention, rather than All the embodiments; based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative work all belong to the protection scope of the present invention.

[0040] Such as figure 1 As shown, the present invention provides a kind of dynamic flaw detection detection method of mine steel wire rope based on machine vision, comprising the following steps:

[0041] Step S1: Set up an industrial camera in front of the wire rope, calibrate the actual distance represented by the unit pixel of the industrial camera, obtain the distance calibration parameters, make the wire rope mo...

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Abstract

The invention belongs to the technical field of image processing, and discloses a mine wire rope dynamic flaw detection method and device based on machine vision. The method comprises the following steps: recording video signals by continuously photographing a dynamic motion wire rope through a camera; processing the video signals, extracting a moving target to obtain a vibration track of each pixel point on the characteristic edge of the wire rope; and obtaining a flexibility matrix of the wire rope to be tested; and step S4, using a BP neural network after sample training to obtain damage positions and damage degrees of the wire rope to be tested; extracting damage location units, as ROI regions, determined by the BP neural network from a whole image, and storing the image as a new wirerope damage initial image; processing the wire rope damage initial image, extracting features of the wire rope damage initial image, and performing surface defect identification based on texture features by a linear classifier. The mine wire rope dynamic flaw detection method solves the problem of image detection errors, and has simple operation and low cost.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a machine vision-based dynamic flaw detection method and device for mine steel wire ropes. Background technique [0002] With the diversification of coal mining methods, various types of winches also play an important role in the transportation of inclined lanes in coal mines. Personnel and equipment need to use the winch lifting system to enter and exit the mine. The wire rope needs to bear a heavy burden during work, and the underground environment is special. During long-term use, the wire rope is prone to safety hazards such as wire rope wear, cracks, corrosion, and broken wires. If it is not replaced in time Wire ropes are prone to wire rope breakage, and major accidents will inevitably occur. If the wire rope can be replaced in time before the wire rope breakage accident occurs, serious accidents can be effectively avoided. [0003] Steel wire ropes a...

Claims

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Application Information

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IPC IPC(8): G01N21/88
CPCG01N21/8851G01N2021/8854
Inventor 乔铁柱杨瑞云张海涛庞宇松
Owner TAIYUAN UNIV OF TECH
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