摘要
详细分析了瓦斯监测系统在日常运行中产生异常数据的原因,阐述了异常数据辨识原则,建立了异常数据识别模型,并根据该模型设计了异常数据分析识别软件。实际应用结果表明,该分析软件能够有效减少瓦斯监测系统误报警、误断电情况的发生,提高了监测数据的真实性和可靠性。
The paper analyzed causes of abnormal data of coal gas monitoring system in details,expounded recognizing principle of abnormal data,established recognition model and developed analysis software of abnormal data according to the recognition model.The practical application shows that the analysis software can effectively decrease false alarm and false power off,and improve data validity and reliability.
出处
《工矿自动化》
北大核心
2013年第4期83-86,共4页
Journal Of Mine Automation
基金
国家科技支撑计划课题(2009BAK54B05)
关键词
煤矿监控
瓦斯监测
异常数据
识别模型
数据挖掘
monitoring and control of coal mine
gas monitoring
abnormal data
recognition model
data mining
