Statistical Analysis Method of Gas Monitoring Data and Its Applicatio
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摘要: 针对矿井瓦斯监测监控系统海量数据所带来的数据冗余性和不确定性问题,提出了一种瓦斯监测数据统计分析方法。在已知时间序列的历史数据情况下,该方法首先采用Matlab工具箱绘制瓦斯监测数据的概率密度函数和分布函数的直方图和累计图,以获得瓦斯监测数据的统计特征;其次,使用Crystal Ball软件的 CB Predictor工具对历史监测数据进行评估并对其未来趋势进行预测;最后,分析预测结果,得出详细的预测方法报表。Abstract: In view of problems of data redundancy and uncertainty caused by mass data of mine gas monitoring and control system,the paper put forward a statistical analysis method of gas monitoring data. For historical data known time series, firstly, the method uses Matlab toolbox to draw histogram and cumulative graph of probability density function and cumulative distribution function to obtain statistical characteristics; secondly, it uses Crystal Ball software CB Predictor tool to assess the historical monitored data and to predict their future trends; finally, it analyzes the predicted result and obtaines detailed reports of forecasting method.
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