介绍了采用热催化传感器在不同的工作温度下，通过BP人工神经网络对可燃混合气体进行分析的新方法。
A new method of analysis to mixed inflammable gas with a heat catalytic sensor worked in different conditions through BP artificial neural network is introduced.
矿井火区可燃性混合气体爆炸危险性的判断，目前常用单纯的瓦斯爆炸三角形判别法。
Methane explosion triangle method, which is commonly applied to judge the explosion risk of mixed inflammable gases in the mine fire district, considers only the main component gas.
应用推荐