基于多传感器信息融合和云模型的瓦斯监测系统研究  

Research of Gas Monitoring System Based on Multi-sensor Information Fusion and Cloud Model

作　　者：白利军[1,2] 

机构地区：[1]中国矿业大学(北京)机电与信息工程学院,北京100083 [2]山西蓝焰煤层气集团有限责任公司,山西晋城048200

出　　处：《煤矿机械》2014年第9期260-262,共3页Coal Mine Machinery

摘　　要：综合应用多传感器信息技术、云模型理论等信息技术对煤矿井下瓦斯监控系统进行了研究和分析,利用云模型对危险程度信号进行感知和提取,构建了多层次信息融合的井下瓦斯监测系统,最后应用免疫危险理论对瓦斯监测异常信号进行了综合处理。研究成果为提高煤矿井下作业安全决策提供了一定的理论参考。The paper mainly integrated application of multi-sensor information technology such as information technology, cloud model theory, studied the coal mine gas monitoring system and analysis of cloud model is used to analyse the degree of danger signal perception and extract, constructs the multi- level information fusion of mine gas monitoring system, the application of immune danger theory for the integrated treatment of abnormal gas monitoring signals. Research results to improve the coal mine work safety decision provides certain theoretical reference.

关 键 词：云模型理论 多传感器信息融合技术 瓦斯监测 

分 类 号：TD712[矿业工程—矿井通风与安全]