Mining belt conveyor coal amount detection method based on binocular stereo vision depth perception

Abstract

A mining belt conveyor coal amount detection method based on binocular vision depth perception is provided. A speed sensor is installed on a belt conveyor to collect speed signals of a conveying belt in real time and transmit the signals to a host computer. Two parallelly placed cameras are installed above the conveying belt to collect conveyed coal material images in real time and transmit the images to the host computer for image analysis and processing. The specific steps are as follows: a multi-resolution wavelet transform algorithm is used to enhance the conveyed coal material images, and a K-means clustering algorithm is combined to segment the images only with the coal material; a binocular vision method is used to acquire three-dimensional point cloud information of the coal material; and a Delaunay algorithm is used to calculate an initial volume of the conveyed coal material, a T-S fuzzy logical reasoning method is combined to correct the volume of the conveyed coal material, and a coal amount formula is applied to achieve detection of the amount of the coal material. The method of the invention can measure the amount of the currently conveyed coal material in real time according to the characteristics of the coal briquette on the surface of the conveyed coal material, has few errors and high effectiveness, has a practical value and is convenient for popularization.

Description

technical field [0001] The invention relates to the field of automatic online detection of coal mine equipment, in particular to a method for detecting coal quantity of a mine belt conveyor based on binocular stereo vision depth perception. Background technique [0002] Coal production is an important indicator to measure the economic benefits of coal mining enterprises. The coal volume detection value in each production link is not only the basis for production statistics and production management, but also provides important material feedback information for process control and optimization. At present, the belt conveyor is the most used equipment in the coal production process, but due to the unbalanced coal mine mining, the coal mine transportation volume of the conveyor cannot be kept stable, resulting in the belt conveyor often being in the "big horse and small cart" The non-optimal operating state of the system causes a large amount of power consumption. Therefore, o...

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Problems solved by technology

[0008] Purpose of the invention: In order to solve the deficiency of the existing detection method for the amount of coal transported by belt conveyors for mines, and in view of the characteristics of coal transported by belt conveyors, this paper proposes a mine belt conveyor based on binocular vision depth perception The detection method of the amount of coal material is detected by installing two industrial cameras horizontally above the coal material transported by the mine belt conveyor

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