Forecast the gas gushing out quantity of mining coal working surface based on Markov chain model

Using the mining coal working surface´s gas density monitoring data, can be accurately divided into the change interval of the mining coal working surface´s gas density. In this paper, the application of Markov chain model is studied to forecast the coal mine gas density´s sector. According to the recursive formula, the known monitoring data is used to predict the next stage of the range of gas density, and to explore the problem of explosion accidents due to the gas concentration off-gauge. The prediction provides a theoretical basis for the mine safety management and gas control.