煤矿安全监控网络异常数据自动甄别系统

    The Automatic Distinguishing System for Abnormal Data of Coal Mine Safety Monitoring Network

    • 摘要: 对多种型号监控系统联网后采集的监测数据进行研究,对异常数据进行分析,通过一定的智能逻辑判断,建立一套完整实用符合现场规律的数学模型及算法,自动甄别出真正瓦斯超限、标校或干扰故障数据;对各类传感器运行逻辑状态不符进行判断,并报警提示、数据汇总、存储打印;有利于调度人员及时准确采取措施,消除隐患,保障安全生产。

       

      Abstract: Through studying the data collected by the multi-type monitoring systems and analyzing the abnormal data, by making a certain intelligent logical judgment, it established a set of complete, practical mathematical model and algorithm corresponding to the site rules, it could automatically distinguish the real gas overrun data, standardizing and disturbing false data. It could finish judgment, warning, data collection, saving and printing for logic state mismatch of various type sensors, which would assist the dispatchers to take measures in time, eliminate the potential hazards, and ensure the safe production.

       

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