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Underground coal flow visual detection method

A technology for visual detection and coal flow, applied in the field of visual detection, can solve the problem of low detection accuracy and achieve the effect of reducing resource costs

Inactive Publication Date: 2020-12-04
XIAN UNIV OF SCI & TECH
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Problems solved by technology

[0004] The purpose of the present invention is to provide a method for visual detection of coal flow in underground mines, which solves the problem that the existing detection methods only rely on image color features or frame difference features to cause low detection accuracy

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  • Underground coal flow visual detection method

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Embodiment Construction

[0041] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0042] The present invention is an underground coal flow visual detection method, the process is as follows figure 1 Shown, specifically include the following steps:

[0043] Step 1. Adjust the angle of the original camera and read the real-time video stream;

[0044] The original camera has 2 million pixels, and the original size of the real-time video stream is 1920*1080 pixels. The vertical distance between the camera and the belt is 1.5m. On the basis of being perpendicular to the belt, adjust the angle of the camera from 0 to 15°.

[0045] Step 2, based on the video stream read in step 1, the image detection range is narrowed by extracting key frames and dividing image feature sensitive areas to obtain normalized key frame images;

[0046] The specific process of step 2 is:

[0047] Step 2.1, adjusting the speed of the original video...

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Abstract

The invention discloses an underground coal flow visual detection method. The method comprises the following steps: 1, adjusting an angle of an original camera, and reading a real-time video stream; 2, on the basis of the video stream read in the step 1, reducing an image detection range in a mode of extracting a key frame and dividing an image feature sensitive area to obtain a normalized key frame image; 3, preprocessing the image obtained in the step 2 by adopting a mode of extracting a reflection component of the key frame image; 4, acquiring a coal flow data image, preprocessing the dataimage, and establishing a coal flow classification data set to obtain a coal flow image classification model; and step 5, reading the image preprocessed in the step 3 and substituting the image into the coal flow image classification model obtained in the step 4 to obtain a real-time image coal flow category and output the real-time image coal flow category. In the invention, a problem of low detection precision caused by only depending on image color features in an existing detection method is solved.

Description

technical field [0001] The invention belongs to the technical field of visual detection, and relates to a method for visual detection of coal flow underground. Background technique [0002] With the continuous development of large-scale and intelligent belt conveyor systems in the mine, the length of a belt conveyor in the mine can reach hundreds or even thousands of meters, and the load of the transport system generally accounts for 30% of the total load of coal mining enterprises. In actual production, coal mining enterprises usually maintain a high-speed belt transportation state of 3-5m / s, which undoubtedly increases the total load of coal mining enterprises and the loss of underground machinery. This makes belt intelligent speed regulation one of the main means to reduce energy consumption, and real-time belt coal flow detection in intelligent speed regulation becomes the focus of belt speed control. How to detect the size of coal flow in a green way, and avoid the sec...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N7/18G01D21/02
CPCH04N7/18G01D21/02
Inventor 郝乐陈宇航
Owner XIAN UNIV OF SCI & TECH
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