CHEN Chao-fan, LI Lian-lin. The Automatic Distinguishing System for Abnormal Data of Coal Mine Safety Monitoring NetworkJ. Safety in Coal Mines, 2013, 44(7): 105-107.
    Citation: CHEN Chao-fan, LI Lian-lin. The Automatic Distinguishing System for Abnormal Data of Coal Mine Safety Monitoring NetworkJ. Safety in Coal Mines, 2013, 44(7): 105-107.

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

    • 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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