Automatic detection method for surface damage of conveyor belt

An automatic detection and conveyor belt technology, applied in the direction of optical testing flaws/defects, to avoid frequent start and stop, improve detection quality and efficiency, and reduce mechanical wear

Active Publication Date: 2017-11-28
TIANJIN POLYTECHNIC UNIV +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to solve the technical problem of using machine vision to identify the surface damage of the conveyor belt, and to provide an automatic detection method for real-time and rapid identification of surface damage based on machine vision

Method used

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  • Automatic detection method for surface damage of conveyor belt
  • Automatic detection method for surface damage of conveyor belt
  • Automatic detection method for surface damage of conveyor belt

Examples

Experimental program
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Effect test

example

[0064] Example Figure 2(a) has a size of 1024×1024, and the segmented image is Figure 2(b).

[0065] Step 3, calculate the gray average value m of the segmented image, and the row vector average value m R (i),, column vector mean m C ′(j), the maximum value of the row vector mean value R max , column vector mean maximum value C max ;

[0066] The gray average value m of the segmented image, and the row vector average value m R (i), column vector mean m C '(j) and row vector mean maximum value R max , column vector mean maximum value C max The calculation formula is:

[0067]

[0068]

[0069]

[0070] (4)R max =max(|m R (i)|)

[0071] (5)C max =max(|m C '(j)|)

[0072] Example Figure 2(b) row vector, column vector average curve is Figure 3(a), Figure 4(a), R max = 210.15, C max =11.45.

[0073] Step 4, according to the R obtained in step 3 max 、C max , preliminarily judge whether there is damage, if not, go to step 8, otherwise go to step 5;

[0074...

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Abstract

The invention discloses an automatic detection method for surface damages of a conveyor belt and belongs to the field of monitoring of an equipment state. The automatic detection method comprises the following steps: acquiring a conveyor belt operation image by using a linear array camera; establishing a division model capable of inhibiting row-directional non-uniform noises by using the consistency of light intensity sensed by the same line of the image, so as to realize rapid division; carrying out edge fidelity noise removal on a line vector mean value curve and a row vector mean value curve; extracting damage characteristic parameters; and rapidly identifying the surface damages. The automatic detection method for the surface damages of the conveyor belt, disclosed by the invention, is suitable for online detection of the surface damages of the conveyor belt, and can be used for monitoring a surface damage condition of the conveyor belt in real time to repair the surface damages in time, so that the damages are prevented from extension and destructive tearing is prevented from occurring.

Description

technical field [0001] The invention relates to an automatic detection method for surface damage of a conveyor belt, in particular to an automatic detection method for surface damage of a conveyor belt based on machine vision, and belongs to the field of equipment state monitoring. Background technique [0002] Conveyor belt is a continuous transportation equipment widely used in mining, metallurgy, thermal power generation, building materials, chemical industry, industrial wharf and other industrial fields. During the operation of the conveyor belt, due to factors such as scratches by hard foreign objects, friction with the frame, and hardening and aging of the glue caused by surface water, the surface of the conveyor belt often has edge delamination, ulceration, defects and cracks, holes, and covering glue. Damage such as bulging or peeling, large areas of wear, deep scratches, etc. Severe surface damage is a precursor to tearing, and if left untreated, the damage will gr...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N21/89
Inventor 苗长云梅秀庄杨彦利李现国仲为亮高长成
Owner TIANJIN POLYTECHNIC UNIV
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