采矿与安全工程学报2011，Vol.28Issue(4)：638-643,6.
矿井火灾多源信息融合预警方法的研究
Study on Early Warning Method of Multi-Source Information Fusion for Coal Mine Fire
摘要
Abstract
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.关键词
矿井火灾/多源信息融合/算法/预警系统Key words
coal mine fire/ multi-source information fusion/ algorithm/ early warning system分类
矿业与冶金引用本文复制引用
邓军,肖旸,陈晓坤,程方明,王伟峰..矿井火灾多源信息融合预警方法的研究[J].采矿与安全工程学报,2011,28(4):638-643,6.基金项目
国家"十一五"科技支撑计划项目(2007BAK29B03) （2007BAK29B03）
"长江学者和创新团队发展计划"创新团队项目(IRT0856) （IRT0856）
陕西省教育厅专项科研计划项目(09JK590) （09JK590）
