煤矿地面主要通风机故障诊断系统研究  

Fault Diagnosis System for Main Ventilation Fans on Coal Mine Ground

作　　者：温鹏辉 WEN Penghui(Zhejiang Fenxi IoT Technology Co.,Ltd.,Hangzhou 310000,Zhejiang,China)

机构地区：[1]浙江汾西物联网科技有限公司,浙江杭州310000

出　　处：《能源与节能》2024年第12期87-89,共3页Energy and Energy Conservation

摘　　要：为提高对煤矿地面主要通风机故障的早期预警、运行参数监控等能力,通过多传感器监测技术实现对主要通风机运行参数及通风参数的监测,并将监测参数与基于BP (Back Propagation,反向传播)神经网络构建的诊断知识库数据进行综合比对,确定故障类型,实现早期预警。对主要通风机故障诊断系统整体结构、硬件和软件等进行了设计。工程应用后,该故障诊断系统运行平稳,可实现对主要通风机运行及通风等参数的实时采集、远程传输及监测预警,增强主要通风机运行可靠性。In order to improve the ability of early warning and monitoring of operating parameters of the main ventilation fans in coal mines,multi-sensor monitoring technology was used to monitor the operating parameters and ventilation parameters of the main ventilation fans.The monitoring parameters were comprehensively compared with the diagnostic knowledge base data constructed based on BP(Back Propagation)neural network to determine the type of fault and achieve early warning.The overall structure,hardware,and software of the main ventilation fan fault diagnosis system were designed.After engineering application,the fault diagnosis system ran smoothly and could achieve real-time collection,remote transmission,monitoring and early warning of the operation and ventilation parameters of the main ventilation fan,enhancing the reliability of the main ventilation fan operation.

关 键 词：主要通风机 故障预警 传感器 诊断系统 

分 类 号：TD724[矿业工程—矿井通风与安全]