基于模糊神经网络的信息融合方法在矿井供风系统中的应用  

Application of the information fusion method in mine air supplying system based on fuzzy neural network

作　　者：付华[1] 孙树生[1] 许振良[1] 冯爱伟[1] 白兰[1] 

机构地区：[1]辽宁工程技术大学电气工程系,辽宁阜新123000

出　　处：《煤炭学报》2006年第2期264-267,共4页Journal of China Coal Society

基　　金：辽宁省自然科学基金资助项目(2051206);辽宁省教育厅资金资助项目(2004C011)

摘　　要：针对矿井瓦斯事故频发,矿井供风系统急需改进的实际情况,将多传感器信息融合方法及PLC应用于矿井通风系统中,以实现对原系统的改造.利用各类传感器采集的信号进行同类传感器本身的一次数据融合处理后,再对异类传感器进行二次数据融合,从而评判出此时矿井所处的安全等级,对风机的给风量进行控制.实验表明,该控制方法具有良好的控制效果.In view of the mine gas accident frequency, the mine air supplying system urgent need improvement actual situation, applied the multi -sensor information fusion method and PLC in the mine air supplying system, by this realization to original system transformation. The signal gathers which using each kind of sensor carries on similar sensor itself after the first time fusion processing, again carries on the second time fusion processing to the different races sensor, thus judges the security rank which this time mine locates, then control the amount of wind. The result of experimentation shows that this method has excellent control effect.

关 键 词：神经网络 信息融合 供风系统 

分 类 号：TD72[矿业工程—矿井通风与安全] TP183[自动化与计算机技术—控制理论与控制工程]