Miner health sign monitoring and early warning method

Abstract

The invention belongs to the technical field of mining equipment, and relates to a miner health sign monitoring and early warning method, which comprises the following steps of: 1) obtaining a facial expression image of a miner entering a mine through a camera arranged at a mine wellhead; 2) comparing the facial expression image of the miner entering the well with the micro-expression image of the miner entering the well in the micro-expression database to obtain a mental health index of the miner entering the well; 3) obtaining instant body data of the miner through a portable wearable device of the miner entering the well, and obtaining a body health index of the miner based on the body data; (4) under the condition that the mental health index and the body health index both exceed the threshold values, a gate at the mine mouth of the mine is opened, and the mine is allowed to go down to work; and under the condition that the mental health index or the body health index is lower than the threshold value, the gate at the mine mouth is kept closed and an alarm is given out. Manual safety accidents caused by psychological and physical health problems of underground operating personnel can be reduced to the maximum extent.

Description

technical field [0001] The invention belongs to the technical field of mining auxiliary equipment, and relates to a miner's health sign monitoring and early warning method. Background technique [0002] Strict control of personnel entering and exiting well management in coal mines is an important guarantee for safe production in mines. At present, mines generally realize the management of personnel entering and exiting the well through several methods such as miner's lamp usage statistics, personnel matching with entry cards, face recognition or iris recognition, and personnel positioning systems. [0003] However, the existing management methods for personnel entering and exiting the well do not detect the mental health status of the personnel going down the well. According to statistics, most of the man-made damage to equipment and personnel injuries in mines are due to the lack of concentration and unhealthy mental health of employees. Therefore, if the mental health mo...

AI Technical Summary

Problems solved by technology

Therefore, if the mental health monitoring and management of the people who go down the well are not carried out, it will often bring great management hidden dangers due to mental health.

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