The Application of the Integrated Indicators Based on BP Neural Network in Colliery Equipment Safety Monitoring

For the current problems in the security situation of colliery equipment ,and based on non-linear relationship among the parameters of colliery equipment ,this paper presents a method for forecasting the safety of colliery equipment based on BP neural network.By using BP neural network in the colliery safety equipment monitoring and warning issues,we established a multi-index comprehensive monitoring (evaluation) of the device security early warning network model,and have trained and tested the model which is used the measured data as an example.The results show that the network performance good and prediction accuracy is high and user-friendly . So we believe it is an effective method for safe comprehensive evaluation.