Coal mine personnel safety behavior monitoring and early warning system based on computer vision

Abstract

The invention discloses a coal mine personnel safety behavior monitoring and early warning system based on computer vision. The invention relates to the technical field of coal mine monitoring. The system comprises a personnel test module, a personnel management module, a computer terminal module, a monitoring module, an underground working area and an equipment maintenance module, and the outputend of the personnel test module is electrically connected with the input end of an underground working area; the output end of the underground working area is electrically connected with the input end of the monitoring module; the input end of the underground working area is electrically connected with the output end of the monitoring module; the output end of the monitoring module is electrically connected with the input end of the computer terminal module. According to the system, the physical and mental states of workers are supervised, the working efficiency and the working safety coefficient are improved from the side, meanwhile, internal equipment can be checked and replaced, the risk caused by aging parts is avoided, then the working safety coefficient is greatly improved, and thehealth of the workers is effectively guaranteed.

Description

technical field [0001] The invention relates to the technical field of coal mine monitoring, in particular to a computer vision-based coal mine personnel safety behavior monitoring and early warning system. Background technique [0002] Generally refers to workers engaged in underground mine operations. Due to the special working environment and conditions, it is generally considered to be a relatively dangerous occupation. According to different mines, underground workers can be divided into underground workers in metal mines, mainly iron ore, and underground workers in non-metallic mines, mainly in coal mines. In general, coal mines have more safety hazards and risks than metal mines due to gas and rock structure. According to the nature of the specific work they are engaged in, underground workers are generally divided into tunneling workers, trolley workers, spraying workers, mining workers, mining workers, maintenance workers, signal workers, etc.; [0003] Every yea...

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Problems solved by technology

[0003] Every year in China, a large number of mine workers die due to accidents. During the mining process, it is very hard work for the underground workers. At the same time, it is necessary to be on guard against mine collapse and damage to machinery and equipment. At the same time, because the mine workers are in a relatively dark working environment, the difficulty of mining is further increased, and the danger is also high. Therefore, the staff needs to be highly concentrated during the work process, but because some coal miners Failure to abide by the rules leads to inattention when they go to work in the mine. In the already dangerous work, negligence and other problems may lead to an increase in the probability of accidents. Every year, there are a large number of mine workers in China. Death due to accidents. In view of this situation, we designed a computer vision-based coal mine personnel safety behavior monitoring and early warning system to solve the above problems

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