Study on Early Warning Method of Multi-Source Information Fusion for Coal Mine Fire

作者：Weifeng Wang · 发表于：Caikuang yu anquan gongcheng xuebao · 年份：2011 · 被引用次数：7 · 研究领域：Fire Detection and Safety Systems、Safety and Risk Management

To realize early warning of coal mine fire,we utilize the technology of multi-source information fusion,integrate the index data of safety monitoring system,beam tube monitoring system of fire,wireless ad-hoc network monitoring system of temperature,and distributed fiber optics monitoring system of temperature in coal mine.Based on the data of experimental test,in-site observation and expert experiences,et al,the early warning system of multi-source information fusion for coal mine fire is set up.Combined with the algorithmic method of artificial neural network,logical reasoning of multi-criteria early warning,and fitting functions of experiment data by means of gray relative analysis method,the algorithm of multi-source information fusion of coal mine fire is developed,which can dispose multi-source information of fire from different locations with different physical significance,hence establish the early warning index system and derive law of development for coal mine fire,and finally determine the gas judges of early warning index and their corresponding temperature ranges for the 6 stages of coal spontaneous combustion degree.