Technique of dynamically warning of coalmine gas outburst based on Bayesian network

摘要

The accident potential of coalmine production has the character of dynamically changing and uncertainty in spatial distribution. In this paper, after comprehensive analysis of the basic data of potential accident and the time series data, combining the coal mine safety management practice, based on mine-specific geographic information system platform, and considering the dynamic changes of ventilation network, the author built the coal mine safety production identify and early warning system based on Bayesian network, which could give early warning of potential underground gas accident, thereby providing better scientific basis for of accidents prevention, and thus reducing the incidence of accidents.