Underground belt control method and control system based on computer vision

A computer vision and control method technology, applied in the control field, can solve the problems of power grid, motor reducer, belt impact, difficulty in starting, and heavy maintenance workload.

Inactive Publication Date: 2018-10-16
北京纽科曼科技有限公司
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  • Abstract
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  • Claims
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AI Technical Summary

Problems solved by technology

The belt conveyor of the traditional belt conveyor has a serious impact on the power grid, motor, reducer, and belt during the start-up process, and it is difficult to start when it is heavy
During light load and no-load operation, unnecessary wear and power consumption will be caused to the motor, reducer, roller, idler, belt and other equipment; the design margin is large, and the motor is often in a low-efficiency working state, and the speed cannot be adjusted. Low control precision, imperfect safety protection and monitoring links, poor safety and reliability, heavy maintenance workload, and uneconomical operation

Method used

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  • Underground belt control method and control system based on computer vision
  • Underground belt control method and control system based on computer vision

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Embodiment Construction

[0028] In order to enable those skilled in the art to better understand the technical solutions of the present invention, the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0029] These and other characteristics of the invention will become apparent from the following description of preferred forms of embodiment given as non-limiting examples with reference to the accompanying drawings.

[0030] It should also be understood that while the invention has been described with reference to a few specific examples, those skilled in the art can certainly implement many other equivalent forms of the invention, which have the features described in the claims and thus lie within the scope of the present invention. within the limited scope of protection.

[0031] Specific embodiments of the present invention are hereinafter described with reference to the accompanying drawings; however, it should be understood...

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Abstract

The invention discloses an underground belt control method and control system based on computer vision to carry out dynamic control on the rotating speed of a belt conveyor. The method comprises the steps of acquiring image information of a specific area of the belt conveyor; analyzing the image information and acquiring the coal flow information on the belt conveyor; generating a frequency converter control signal according to the coal flow information, and controlling the belt conveyor according to the frequency converter control signal. According to the underground belt control method and control system based on computer vision, an image acquisition unit is used for carrying out video acquisition on the coal materials on a belt, and then the collected image information is further processed to obtain coal flow information, and then intelligent control is carried out on the rotating speed of the belt conveyor through a frequency converter.

Description

technical field [0001] The invention relates to a control method, in particular to a computer vision-based downhole belt control method and a control system. Background technique [0002] At present, coal mining and transportation in the underground environment of coal mines mainly rely on belt transportation. The belt conveyor of the traditional belt conveyor has a severe impact on the power grid, motor, reducer, and belt during the start-up process, and it is difficult to start when the load is heavy. During light load and no load during operation, unnecessary wear and power consumption will be caused to the motor, reducer, roller, idler roller, belt and other equipment; the design margin is large, the motor is often in a low-efficiency working state, and the speed cannot be adjusted. The control accuracy is low, the safety protection and monitoring links are not perfect, the safety reliability is poor, the maintenance workload is large, and the operation is uneconomical....

Claims

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Application Information

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IPC IPC(8): G05B19/04B65G43/02
CPCG05B19/04B65G43/02
Inventor 张敏刘宪权赵爱国刘海峰李海涛张栋国
Owner 北京纽科曼科技有限公司
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