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Characteristic analysis and preprocessing of mine gas monitoring data

DONG Dingwen;QU Shijia;WANG Honggang;School of Energy Engineering,Xi'an University of Science and Technology;Key Laboratory of Western Mine Exploitation and Hazard Prevention of Ministry of Education,Xi'an University of Science and Technology;Tiandi(Changzhou)Automation Co.,Ltd.;  
In view of characteristics of abnormal data,missing data and noisy data of mine gas monitoring data,apreprocessing method of gas monitoring data was proposed.Abnormal data is replaced by use of moving average line processing method or auto regressive model processing method,missing data is filled by employing cubic exponential smoothing method and data denoising is processed though wavelet soft threshold method.The case analysis shows that the method can eliminate interference of abnormal data,ensure integrity of monitoring data and smooth characteristic curve of monitoring data without changing statistical characteristics of gas monitoring data.
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