Research on the Key Technology of Intelligent Mine Gas Forecasting Model Based on SVM

In view of the shortcoming of the current mine monitoring system only providing the threshold alarm, this paper makes full use of the rich historical data in the database of monitoring system, selects the normal data samples and the abnormal data samples first, respectively models the normal and abnormal samples and then extracts the feature vector of each sample, and finally using the support vector machine to train the feature vector of each sample to get the on-line forecasting model mainly based on mine gas. The simulation results show that support vector machine prediction model can realize the on-line measurement and risk prediction mine gas. It provides intelligent decision guidance for mine managers, and further improves the overall function of mine monitoring.