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Conveyor belt longitudinal tearing detection method and device based on machine vision

A technology of longitudinal tearing and machine vision, applied in the direction of conveyor control devices, conveyor objects, transportation and packaging, etc., can solve the problem of inability to accurately calculate the longitudinal tear width and longitudinal tear length of the conveyor belt surface, and the inability to accurately calculate Problems such as the appearance size of the conveyor belt and the low detection rate of longitudinal tearing on the surface of the conveyor belt have been solved, and the effect of obvious and intuitive presentation, simple image processing process and high detection rate has been achieved.

Pending Publication Date: 2022-02-01
BEIJING LUSTER LIGHTTECH +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] This application provides a method and device for detecting longitudinal tearing of conveyor belts based on machine vision to solve the problem that PCs in the prior art cannot accurately identify longitudinal tearing on the surface of conveyor belts based on the distortion characteristic information of a single-character spot. The detection rate of the longitudinal tear on the belt surface is low, and the longitudinal tear width and length of the conveyor belt surface cannot be accurately calculated, let alone the appearance size of the longitudinal tear on the conveyor belt surface.

Method used

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  • Conveyor belt longitudinal tearing detection method and device based on machine vision
  • Conveyor belt longitudinal tearing detection method and device based on machine vision
  • Conveyor belt longitudinal tearing detection method and device based on machine vision

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Embodiment 1

[0074] see figure 2 , the application provides a machine vision-based conveyor belt longitudinal tear detection method, including:

[0075] S101. Acquire a conveyor belt image, the conveyor belt image includes 2D information and 3D information of the conveyor belt; wherein, the conveyor belt image is an image collected by the acquisition device when the surface light source and the multi-line laser source are turned on at the same time, and the acquired The schematic diagram of the conveyor belt image is as follows image 3 As shown, after the acquisition device collects the image of the conveyor belt, the image sensor of the acquisition device transmits the image of the conveyor belt to the PC.

[0076] Further, in step S101 of Embodiment 1, both the wavelength band of the surface light source and the wavelength band of the multi-line laser source are in the sensitive spectrum range of the acquisition device, and the wavelength band of the surface light source and the The ...

Embodiment 2

[0093] Corresponding to the foregoing embodiment 1 of a method for detecting longitudinal tearing of a conveyor belt based on machine vision, the present application also provides an embodiment of a device for detecting longitudinal tearing of a conveyor belt based on machine vision. Such as Figure 7 As shown, the device includes:

[0094] Acquisition equipment, surface light source equipment, multi-line lasers, signal control equipment ( Figure 7 not shown) and PC ( Figure 7 Not shown in), the collection equipment, surface light source equipment, multi-line laser and signal control equipment are all arranged under the conveyor belt, and are all connected to the PC by communication;

[0095] The collection device is used to collect images of the conveyor belt when the surface light source and the multi-line laser source are on;

[0096] The surface light source device is used to project a surface light source to the conveyor belt, and the surface light source is Figure...

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Abstract

The invention provides a conveyor belt longitudinal tear detection method and device based on machine vision, and the method comprises the steps: obtaining a conveyor belt image which comprises 2D information and 3D information of a conveyor belt; extracting and separating the conveyor belt image to obtain a conveyor belt 2D information image and a conveyor belt 3D information image; according to the conveying belt 2D information image and the conveying belt 3D information image, judging whether the conveying belt has defects or not ; if the conveyor belt has the defect, judging whether the defect is longitudinal tearing or not according to the conveyor belt 2D information image and the conveyor belt 3D information image; and if the defect is longitudinal tearing, calculating and outputting information data corresponding to the longitudinal tearing. According to the method, the 3D information image and the 2D information image of the conveying belt are combined, whether the longitudinal tearing defect occurs on the surface of the conveying belt or not can be effectively distinguished, various defects can be effectively detected, and false detection caused by the fact that longitudinal tearing and foreign matter interference cannot be distinguished is avoided.

Description

technical field [0001] The present application relates to the technical field of conveyor belt longitudinal tear detection, in particular to a machine vision-based conveyor belt longitudinal tear detection method and device. Background technique [0002] Belt conveyor is the main equipment for material transportation in mines, ports and other enterprises, and the conveyor belt is an important part of the belt conveyor. During the use of the belt conveyor, the conveyor belt is easily scratched by foreign objects such as scrap steel or coal gangue. At the same time, the conveyor belt will be damaged or even torn due to the conveyor belt clamping, improper installation and adjustment of the belt conveyor, and uneven load caused by the incorrect blanking position at the transfer point of the conveyor belt. The occurrence of conveyor belt tearing faults is sudden and concealed, so conveyor belt tearing faults are usually not detected and dealt with in time. In addition, when th...

Claims

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Application Information

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IPC IPC(8): B65G43/02
CPCB65G43/02
Inventor 张巧淞夏布礼张勇姚毅杨艺
Owner BEIJING LUSTER LIGHTTECH
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