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Belt tearing detection method and device and storage medium

A detection method and belt technology, applied in image data processing, instruments, character and pattern recognition, etc., can solve the problems of poor real-time performance and low accuracy of belt tear detection, and achieve short processing time and strong light robustness Effect

Pending Publication Date: 2020-12-11
WUHAN UNIV OF TECH
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Problems solved by technology

[0005] In view of the shortcomings of the above-mentioned prior art, the object of the present invention is to provide a belt longitudinal tear detection method, equipment and storage medium to solve the problems of low accuracy and poor real-time performance of belt tear detection at present

Method used

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  • Belt tearing detection method and device and storage medium
  • Belt tearing detection method and device and storage medium
  • Belt tearing detection method and device and storage medium

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Embodiment Construction

[0040] The present invention provides a belt longitudinal tear detection method, equipment and storage medium. In order to make the purpose, technical solution and effect of the present invention clearer and clearer, the present invention will be further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0041] see figure 1 , the belt longitudinal tear detection method provided by the embodiment of the present invention comprises the following steps:

[0042] S100. Acquire several torn belt images and several normal belt images.

[0043] In this embodiment, since the CCD area array camera is prone to motion blur when photographing a high-speed moving object, the line array camera is used to capture images, which can avoid the impact of motion blur on image quality. In addition, because the ...

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Abstract

The invention discloses a belt longitudinal tearing detection method and device and a storage medium. The method comprises the steps of acquiring a plurality of tearing belt images and a plurality ofnormal belt images; preprocessing the acquired tearing belt images and the normal belt images to obtain clear tearing belt images and the normal belt images, taking the clear tearing belt images as positive samples, and taking the clear normal belt images as negative samples; extracting Haar features of each image in the positive sample and the negative sample, and constructing a plurality of weakclassifiers according to the Haar features; iteratively combining the plurality of weak classifiers to obtain a plurality of strong classifiers, and combining the plurality of strong classifiers to obtain a cascade classifier; and adopting the cascade classifier to identify the belt images collected in real time so as to detect whether belts are longitudinally torn or not. According to the invention, the problems of low belt tearing detection accuracy and poor illumination robustness in the prior art are solved.

Description

technical field [0001] The invention relates to the field of belt tear detection, in particular to a belt tear detection method, equipment and storage medium. Background technique [0002] The continuous conveyor is the main equipment for bulk material transportation. It has the characteristics of long conveying distance, strong conveying capacity, and high productivity. It is widely used in industrial fields such as ports, mines, and chemical plants. As one of the main components of the belt conveyor, the belt is scratched and impacted by sharp materials, and longitudinal tearing accidents often occur. Due to the difficulty of long-distance tear repair and poor reliability after repair, the belt worth hundreds of thousands of yuan will be scrapped directly, causing huge economic losses. If the belt tear cannot be detected and stopped in time, the torn belt will cause severe vibration of the frame, and in severe cases, it will damage the frame, reducer, motor and other equi...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06T7/00G06K9/46
CPCG06T7/001G06T2207/20032G06T2207/20081G06T2207/30164G06V10/446G06F18/2113G06F18/24G06F18/214
Inventor 王贡献张利斌孙晖饶忠平
Owner WUHAN UNIV OF TECH
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