Method for judging gas abnormality by utilizing gas desorption quantity characteristics
A technology of desorption and gas, which is applied in the field of gas anomaly identification, and can solve the problems of not taking into account the characteristics of gas flow, the accuracy of gas concentration prediction is difficult to control, and the method of identifying gas anomalies.
Active Publication Date: 2020-09-08
CHINA COAL TECH ENG GRP CHONGQING RES INST
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Problems solved by technology
The defect of the time series analysis method itself is that it does not take into account the gas flow characteristics in the ventilation tunnel, and it is difficult to control the accuracy of short-term gas concentration prediction. Most of the existing methods use the time series formed by the gas monitoring data of a single monitoring point as the object of modeling. There is no method to identify gas anomalies based on gas desorption characteristics
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Embodiment
[0071] Embodiment: Utilize this method to the Wj10 index map of certain mine 206 driving surface figure 2 As shown, the Wj30 index map of the 206 driving face of a certain mine is as follows image 3 As shown, the actual outburst prediction index diagram for the 206 driving face of a certain mine is as follows Figure 4 As shown, the performance of the Wj10 index of the 104 working face of a certain mine is as follows Figure 5 As shown, the performance of the Wj30 index on the 104 working face of a certain mine is as follows Image 6 As shown, the actual outburst prediction index diagram for the 104 working face of a certain mine is as follows Figure 7 shown.
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The invention relates to a method for judging gas abnormality by utilizing gas desorption quantity characteristics, which belongs to the technical field of coal mine safety and comprises the followingsteps of: acquiring gas monitoring minute mean value data of a jth shift; calculating the mean value of the jth shift gas monitoring number; calculating a k-minute moving mean value of the gas monitoring data in the ith minute; calculating an m-minute moving mean value of the gas monitoring data in the ith minute; calculating the maximum value of the k-minute moving mean value in the jth shift; calculating the maximum value of the moving mean value of m minutes in the jth shift; calculating the maximum gas desorption amount of k minutes in the jth shift; calculating the maximum gas desorptionamount in m minutes in the jth shift; calculating the ratio of the gas desorption amount of k minutes or m minutes in the jth shift to the total gas emission amount of the jth shift; calculating theratio of the gas desorption amount of k minutes to the gas desorption amount of m minutes in the jth shift; calculating the ratio of the maximum value of the k-minute moving mean value to the maximumvalue of the m-minute moving mean value in the jth shift; final recognition.
Description
technical field [0001] The invention belongs to the technical field of coal mine safety, and relates to a method for judging abnormal gas by using gas desorption characteristics. Background technique [0002] Gas disaster is one of the most harmful disasters to mine production, which seriously threatens the safe production of coal mines. Mine gas monitoring is an important means of preventing gas disasters, and the processing and utilization of safety monitoring information has become a technical system for the prevention and control of gas disasters. important direction in . Important locations and areas in coal mines are the key locations for gas monitoring. The sensors continuously transmit gas monitoring data to the monitoring host with a set monitoring cycle, thus creating basic conditions for the utilization of safety information by means of big data processing. By processing a large amount of gas monitoring data to extract the law of gas gushing, and then analyze the...
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Login to view more IPC IPC(8): G06F17/10G06Q10/04G06Q10/06G06Q50/02
CPCG06F17/10G06Q10/04G06Q10/06393G06Q50/02
Inventor 文光才赵旭生孙东玲邹云龙邓敢博徐雪战蒲阳刘文杰程晓阳覃木广岳俊宋志强闫凯
Owner CHINA COAL TECH ENG GRP CHONGQING RES INST
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