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Vibrating screen mesh damage detection method, system and device based on computer vision

A technology of computer vision and damage detection, which is applied in the field of image processing, can solve problems such as production loss and inaccurate detection methods, and achieve the effect of reducing production loss

Pending Publication Date: 2022-05-03
山东工大中能科技有限公司
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Problems solved by technology

[0005] The invention provides a vibrating screen damage detection method, system and device based on computer vision, which are used to solve the problems that the existing detection methods are inaccurate and easily cause production loss

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  • Vibrating screen mesh damage detection method, system and device based on computer vision
  • Vibrating screen mesh damage detection method, system and device based on computer vision
  • Vibrating screen mesh damage detection method, system and device based on computer vision

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Embodiment Construction

[0056] In order to clearly illustrate the technical features of this solution, the present invention will be described in detail below through specific implementation modes and in conjunction with the accompanying drawings. The following disclosure provides many different embodiments or examples for implementing different structures of the present invention. To simplify the disclosure of the present invention, components and arrangements of specific examples are described below. Furthermore, the present invention may repeat reference numerals and / or letters in different instances. This repetition is for the purpose of simplicity and clarity and does not in itself indicate a relationship between the various embodiments and / or arrangements discussed. It should be noted that components illustrated in the figures are not necessarily drawn to scale. Descriptions of well-known components and processing techniques and processes are omitted herein to avoid unnecessarily limiting the...

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Abstract

The invention provides a computer vision-based vibration screen mesh damage detection method, system and device, and the method comprises the steps: obtaining an original image of ores carried on a belt conveyor, and filtering the ores to the belt conveyor through a vibration screen mesh arranged above the belt conveyor; processing the original image to obtain an ore granularity segmentation result; on the basis of the size information of the ore contour in the segmentation result, screening out the ore needing to be detected; and comparing the particle size of the ore to be detected with the aperture of the screen to obtain the state of the screen. Through computer vision, ore on the belt conveyor is analyzed, the size of the screen is judged, the defects that traditional manual inspection is not in time and high in subjectivity are overcome, real-time detection and quantitative and qualitative judgment can be achieved during machine operation, a prediction result is given out for the damage degree of the screen, and the damage degree of the screen is predicted. The broken screen can be found in time, and production loss is reduced.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a method, system and device for detecting damage to a vibrating screen mesh based on computer vision. Background technique [0002] The vibrating screen is an important equipment in the production of mines, ore dressing, coal dressing, building materials, chemical industry, etc. When the screen mesh of the vibrating screen is used for a long time, the screen holes will be severely worn and damaged, which will seriously affect the screening effect . [0003] At present, in actual production, it is generally found that abnormal conditions of the equipment are found through manual on-site inspections. The inspection personnel at the on-site screening station regularly inspect the operation of the equipment, and judge whether the state of the screen is visually observed by the particle size of the screened material. normal. This method increases the labor intensity of the ...

Claims

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Application Information

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IPC IPC(8): G06V10/25G06T7/62B07C5/342
CPCG06T7/62B07C5/3422B07C5/3425
Inventor 栾松义吴树栋王林王喆马贺林栋
Owner 山东工大中能科技有限公司
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