Research on mine gas early warning based on cloud computing data integration model

Research on mine gas early warning based on cloud computing data integration model

Xi ' An science and technology university Zhang Jie

Mine gas has been one of the main disaster forms of coal mine in China, and it has seriously disturbed the safety production of coal mine. To study the effective processing of daily inspection/monitoring data and forecast early warning application is helpful to expand the function of safety monitoring and monitoring system, and is an important means to improve the early warning ability of gas disaster. On the basis of analyzing the characteristics of mine gas inspection/monitoring data and integrated control mode, this paper deeply studies the theory and method of mine gas early warning analysis based on cloud computing data integration model. The characteristics of mine gas detection/monitoring data and its integrated control mode are studied. The characteristics of gas detection/monitoring data are analyzed, and for the environment, artificial, management and other factors under the influence of the abnormal data, data loss problem, smoothing its characteristics to form a complete monitoring data sequence, consistent with the overall statistical characteristics of monitoring data, and set up a cloud computing mode of inspection/monitoring data integrated control mode. This paper studies the prediction method of mine gas concentration change trend.

Research on mine gas early warning based on cloud computing data integration model