煤自燃特征信息的模糊聚类与模式识别  

Fuzzy clustering and pattern recognition of characteristic information in coal spontaneous combustion

作　　者：邓军[1,2] 李保霖[3] 程方明[1,2] 陈晓坤[1,2] 靳玉萍[1] 

机构地区：[1]西安科技大学能源学院,陕西西安710054 [2]教育部西部矿井开采与灾害防治重点实验室,陕西西安710054 [3]西安科技大学计算机学院,陕西西安710054

出　　处：《西安科技大学学报》2011年第5期505-509,514,共6页Journal of Xi’an University of Science and Technology

基　　金：国家科技支撑计划(2007BAK29B03);霍英东教育基金(111054);教育部创新团队(IRT0856);陕西省"三秦学者"特聘教授资助

摘　　要：研究煤自燃特征信息,确定煤自然发火预测指标,实现煤自燃的早期预报,对煤矿的安全生产具有重要的实际意义。根据煤样自燃发火过程模拟实验和程序升温实验,得出煤自燃特征温度段,依据多元信息融合技术,结合现场采集煤自然发火观测气体数据,应用模糊聚类的方法,提取煤自燃多项指标信息的特征,并采用模糊模式识别的方法,确定出煤自燃特征信息及其与特征温度段的对应关系,从而实现煤自燃状态的识别和早期预报。Research characteristics informations of coal combustion,then to determine its predicted index and realize the prediction of the safety production in coal mine,which have important practical significance.After a great deal of coal spontaneous combustion simulation experiments and temperature experiments,characteristic temperature pariods is obtained.Combining with the gas data observing and collecting in the process of coal spontaneous conbustion,the application of the fuzzy clustering can refine coal spontaneous combustion characteristic center of multinomial index information,then using fuzzy pattern recognition to predict the real-time coal combustion state,which have realized the coal combustion automatic warning system,and provided reliable guarantee for mine safety.

关 键 词：煤自燃 特征信息 模糊聚类 模式识别 

分 类 号：TD752[矿业工程—矿井通风与安全]