Underground coal mine personnel abnormal trajectory detection system and method based on machine vision

Abstract

The invention discloses an underground coal mine personnel abnormal trajectory detection system based on machine vision. The system comprises a shooting module, a video transmission module, a ground control module, a display module and an early warning module. The shooting module captures an identifier on a safety helmet of underground personnel and an underground real-time video image; the videotransmission module transmits a video signal to a ground control center via the Ethernet; the ground control module quickly processes the image, determines the type of work and a corresponding presettrajectory, and generates a comparison image signal of a real-time action trajectory and the preset trajectory; the display module displays a trajectory comparison map and the real-time images of allunderground cameras; and the early warning module prompts the underground personnel about the correct trajectory when detecting the abnormal trajectory and notify the ground scheduling personnel of the abnormal condition. The detection method considers both scientificity and practicality, supplements the blank of underground personnel trajectory detection, improves the normalization, succession and integrity of the underground operations and effectively avoids the accidents caused by unfamiliar business and personal experience.

Description

technical field [0001] The invention relates to the fields of image processing and automatic detection, in particular to a machine vision-based system and method for detecting abnormal trajectory of personnel in coal mines. Background technique [0002] In developed countries rich in mineral resources, the mechanical level of coal mines is as high as 95%, and the actual proportion of underground workers is very small. The number of casualties can be controlled from the perspective of the number of personnel, and the mechanized operation is efficient and standardized. The roadway is smooth and convenient for mechanical repair and maintenance. Easy to evacuate. In contrast to the current situation of my country's coal mine industry, the degree of mechanical automation is not high, and accidents such as gas explosions, water seepage in coal mines, or collapse of coal mine roadways occur frequently. The main reasons for safety accidents in coal mines are as follows: First, coal...

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Problems solved by technology

[0004] The purpose of the present invention is to solve the problem that there is no track recording and spatial positioning of miners in coal mines, and provide a computer vision-based system and method for detecting abnormal tracks of coal mine personnel in underground mines, so that ground dispatchers can monitor the positions of underground miners in real time, standardizing The operation process of miners prevents problems before they happen, which greatly protects the life safety of miners

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