基于时序加权数据融合的瓦斯预警系统研究  

Research on Gas Early Warning System Based on Sequence Weighted Data Fusion

作　　者：谢丽明[1] 赵凯[1] 鲁书喜[1] 

机构地区：[1]平顶山学院计算机科学与技术学院,河南平顶山467002

出　　处：《煤炭技术》2012年第10期192-194,共3页Coal Technology

基　　金：河南省科技攻关项目(102102210417)

摘　　要：建立了基于时序加权数据融合的煤矿瓦斯预警系统。首先单传感器采集的时序数据加权处理,同质多传感器数据变权融合处理,融合成更精准的实时上传数据,有效降低数据传输量;然后数据进入预测融合,以粗集理论构建的瓦斯安全状态监测规则能实现动态预测控制。该预警系统瓦斯事故预警准确,能为煤矿安全生产提供支持。Gas early-warning system of coal mine based on sequence weighted for data fusion is given. First of all, sequence data of single-sensor is processed using weighted. Data of homogeneous multi-sensor is fused by variable weights. More accurate real-time data is uploaded. It reduces the amount of network traffic. Then using historical monitoring data, we built based on RS. The decision rules can dynamically monitor fusion data, improve the accuracy of gas early warning, and provide the effective support for the coal mine.

关 键 词：加权融合 预测融合 瓦斯预警 无线传感器网络 

分 类 号：TD712.5[矿业工程—矿井通风与安全]