Abstract
Most of the coal mine accidents in China are due to human errors. Human errors are mainly owing to the high tensions of miners’ working conditions and physiological abnormalities, which lead to a series of mishandling. This paper forms physiological index safety early warning system based on the physiological information of coal miners. Physiological data of miners are measured in real time through this method. The data can be statistically analyzed horizontally and vertically to judge the health status of miners and make an early warning to provide an efficient way to reduce the number of accidents.
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