Collaborative monitoring of underground gas disaster based on fuzzy information fusion

Abstract

In order for gas monitoring system to increase precision and real-time capacity, a gas disaster collaborative monitoring system was presented. The system could perform intelligent measurement of gas disaster and coal dust disaster with the expert systems. In order to solve the problem of coal-dust explosion limit reducing once the gas gathering occur, the explosion parameters were detected by multi-sensor and the information of dust, gas concentration and temperature from sensors were carried on fuzzy processing to be fused based on fuzzy information and fusion theory. The system can finish fusion computing and decision-making of various system parameters to realize the early prediction for mine explosion successfully. The experimental results indicate that the discerning accuracy and reliability of mine explosion detection system is greatly increased based on fuzzy information and data fusion. It is concluded that the system is of great significance to coal mine production safety.