基于BP神经网络的煤矿瓦斯预警与应急联动系统研究

摘要

BP neural network has been constructed to forecast the gas disaster of coal mine coliery .In this system,the concentration ratio of gases are selected as the date input of the network.By training,the system can forecast the gas disaster .If there is a disaster,we wil start the Emergency Response System.%针对煤矿瓦斯灾害的预警问题，在煤矿收集到各指标气体浓度的基础上，构建BP神经网络，通过训练各数据，判断该检测点是否会发生瓦斯灾害，若发生灾害则启动面向服务的应急联动。