Research of rapid discovery method of information features of coal mine safety monitoring
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摘要: 针对煤矿安全监控历史数据及监测参数特点，提出了一种煤矿安全监控信息特征快速发现方法。该方法采用基于误差带的历史数据压缩算法分析采样数据，发现并存储包含重要特征的信息片段，分析该信息片段的含义，并进行主题抽取和关联分析，研究瓦斯序列的相关分析，从而可得出煤矿安全监控系统重要数据的信息特征。该方法对完善煤矿科学管理、挖掘煤矿多传感器信息和煤矿瓦斯涌出规律有一定参考价值。Abstract: According to characteristics of historical data and monitoring parameters in coal mine safety monitoring system, a rapid discovery method of information features of coal mine monitoring was proposed. The method uses compression algorithm of historical data based on error band to analyze sample data, discovers and stores information fragment that contains important features, analyzes meaning of the information fragment, conducts subject extraction and correlation analysis, researches correlation analysis of gas sequence, so as to get information features of important data in the coal mine safety monitoring system. The method has certain reference for completing scientific management of coal mine, excavating information of multiple sensors and law of gas discharge of coal mine.
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