Abstract:

According to the coal mine environment caused by the bad gas sensor error alarm, namely gas "large" problem, this paper presents the configuration monitoring software and the application of BP neural network in coal mine gas monitoring system, configuration monitoring software can be used to real-time observation of gas concentration, query any time the output of the sensor, according to gas concentration change, through the design of BP neural network and training for many times, and correct network parameters, finally the reasonable neural network, and testing the network, the network effectively eliminate the pulse interference phenomenon of false alarm caused by gas concentration and prevent gas leakage alarm when concentration overrun. In the coal mine safety monitoring system, the application of neural network to remove false alarm has good prospects for development.