信息融合技术在矿井环境监测系统中的应用  

Application of the information fusion technology in the mine environmental monitoring system

作　　者：梁涛[1] 侯友夫[1] 李鹏[1] 田组织[1] 

机构地区：[1]中国矿业大学机电工程学院,江苏徐州221008

出　　处：《矿山机械》2009年第3期37-40,共4页Mining & Processing Equipment

摘　　要：介绍了一种基于信息融合技术的矿井环境监测系统,该系统利用多传感器信息融合技术对矿井中各环境参数进行两级数据融合。一级数据融合采用自适应加权算法,得到矿井中各环境参数的准确融合值,二级数据融合利用BP神经网络对一级数据的融合结果再次进行融合,准确地判定矿井的安全状况,以保障煤矿安全生产。This paper presents a mine environmental monitoring system based on the information fusion technology. This system carries on two-level data fusion for the various mine environmental parameters using, the multi-sensor information fision technology,. The first-level data fusion gets the accurate fusion value of the various mine environmental parameters by using the self-adaptive weighted algorithm. The second-level data fusion carries on the data fusion again to the first-level data fusion＇s results using BP neural network, and this accurately determines the security situation in mines to ensure the coal mine＇ssafe production.

关 键 词：信息 融合 自适应加权算法 BP神经网络 安全状况 

分 类 号：TP274.4[自动化与计算机技术—检测技术与自动化装置] X84[自动化与计算机技术—控制科学与工程]