Research Of Underground Gas Drainage System Fire Hazards Judgment And Identification B Ased On SVM

Coal mine safety is the first factor to ensure smooth mining, while for the frequent coal mine gas accident, the most effective means of prevention and control is gas extraction, at the same time, the gas extraction safety monitoring system becomes particular important for ensuring the gas extraction, even the safe production of coal mine work. Although the traditional safety monitoring system has a variety of functions, which largely alleviated the safe working pressure, the gas extraction system still exists many problems due to the complex subsurface environment, and for the prevention and control of hidden danger, the system also have not been involved, even the related theory researches are rare.In view of the important role of risk identification, this paper adopts wavelet analysis and Support Vector Machine theory to realize the gas extraction system security identification. Firstly, this paper studies the potential dangers (fire, water, air, etc.) deeply to determine the parameter and the control strategy of hidden features. Because the signals from sensors would be interfered by environment, electromagnetism and other factors, usually accompanied with time-varying and emergency signal, this paper, deals with the noise characteristics of signals based on threshold filtering of wavelet analysis, largely to ensure the authenticity of the data signal, and then uses the advantage of the theory of Support Vector Machine (SVM) for small sample learning to classify the data set, in order to realize the potential safety hazard identification. Finally represented by a fire hazard, the simulation experiment is carried out by constructing MATLAB on wavelet threshold filtering and the formation of the forecasting model of SVM classification, proving the validity and superiority of the wavelet support vector machine identification in terms of hidden dangers, and a theoretical basis for the gas drainage monitoring system security identification applied in practice.This research not only provides reliable identification methods for the potential safety hazard of the gas extraction system, but also has important significance and practical value for eliminating hidden dangers and ensuring safe production. Combined with the interlink with the coal mine safety risk identification theory, the classification and prediction methods used in this paper are also applicable for other safety hazards in the process of coal mine production and safety monitoring system, which has a high theoretical and practical value and good application prospect.