矿井主要通风机远程安全监测方案  

Remote Safety Monitoring for Mine Main Fan

作　　者：汪义鹏 张树江[1] 阚哲[1] 

机构地区：[1]辽宁石油化工大学矿业工程学院,辽宁抚顺113001

出　　处：《煤矿安全》2016年第8期101-102,106,共3页Safety in Coal Mines

基　　金：辽宁省教育厅一般资助项目(2012126);大学生创新创业训练资助项目(201510148071;201510148032)

摘　　要：以主要通风机安全监测作为核心研究内容,结合流场、振动、温度等信号对所测流场进行分析,完成风机故障诊断,同时完成风机节能优化;结合马尔科夫模型采用多参数测量方案,对风机运行状态实现实时故障诊断与维护预报,方案的有效实施可以在最大程度上保证矿用风机的运行安全。Taking the safety monitoring of main fan as a core research,the measured flow field is analyzed with the flow field,vibration,temperature and other signal; the fault diagnosis of fan is completed while fan energy optimization is also completed.Combining with Markov model,multi-parameter measurement program is used to achieve the real-time fault diagnosis and predictive maintenance for fan running state.The effective implementation of this program ensures the safe operation of mine fans at the maximum extent.

关 键 词：矿用主要通风机 故障诊断 马尔科夫模型 预知维护 监测系统 

分 类 号：TD724[矿业工程—矿井通风与安全]