摘要
应用数据挖掘技术构建了一套掘进机工况监测数据分析系统。该系统通过掘进机工况监测数据采集系统采集掘进机机械系统、液压系统、电气系统、传动系统的工况参数,并将这些参数通过互联网发送到掘进机工况监测数据分析平台,在该平台上应用数据挖掘技术分析、挖掘掘进机工况参数,实现掘进机的远程维护和快速故障定位及故障处理,并对掘进机工况运行数据分析经验库进行学习更新,为掘进机故障处理提供知识经验支持。
A data analysis system of roadheader status monitoring was built by use of data mining technology.The system collects status parameters of mechanism system,hydraulic pressure system,electrical system and transmission system of roadheader through data collection system of roadheader status monitoring,sends the parameters to data analysis platform of roadheader status monitoring through Internet,and mines and analyzes the parameters by use of data mining technology on the data analysis platform.The system can realize functions of remote maintenance and fast fault location and processing,and updates analyzing experience base of working status data of roadheader,which provides knowledge experience support for fault processing of roadheader.
出处
《工矿自动化》
2011年第4期28-30,共3页
Journal Of Mine Automation
关键词
矿井
掘进机
工况监测
数据采集
故障分析
数据挖掘
mine
roadheader
status monitoring
data collection
fault analysis
data mining
