Research Of The Prediction System Of Coal Spontaneous Combustion Based On The Information Fusion

Mine fire preventing and controlling always is the key question of coal industry safety in production. Traditional sole forecast method cannot forecast coal spontaneous combustion reliably Because of complex combined environment and all kinds of influence factors under mine. Information fusion technology is used in this article and realizes precise forecast of coal spontaneous combustion. Information fusion is a new theory and technology in the information field. It is applied on the multiple source information handling widely. In view of its application in the coal bed spontaneous combustion forecast, it is researched systematically, multiple artificial intelligence unified fusion method is proposed. This article adopts information fusion to process many kinds of signals fusion. Fuzzy and genetic algorithms are Uses. The fusion process is completed by fuzzy assessment function and the fuzzy parameters are optimized and confirmed by genetic algorithms. The algorithm merit is information fusion by the approximate superior method in the situation of uncertain information source reliability, redundant and complementarity. The mine spontaneous combustion forecast system is obtained through information fusion in this article, forecast reliability is validated through the algorithm test.