Overpressure Distribution Prediction of Mine Gas Explosion Based on Artificial Neural Networks

Gas disaster is one of important problems concerning the safety of mine. The shock wave after explosion is the main damage for human. Moreover, whether the anti-explosion-proof measures play an effective role is depended on the measurements and forecasts of blast overpressure. Based on previous experimental analysis, the paper uses BP and RBF ANN to predict the relationship of gas explosion overpressure between point measurement and overpressure value. The results show that application of BP ANN prediction can significantly reduce the forecast error, it is suitable for mining enterprises to operate.