根据煤田自燃区远程监测的应用特性，提出了一个适应该场合的无线传感器网络监测系统。
According to remote monitoring application characters of the spontaneous coalfield, we propose a wireless sensor network monitoring system adapted to this occasion.
将人工神经网络的非线性特性和信息的分布性用于煤低温自燃实验炉的模型辩识。
The nonlinearity and distribution of information processing of the artificial neural network are utilized in the indentification of model of coal spontaneous combustion stove at low temperature.
利用矿岩自燃发火巷道烟气流动所遵循的控制方程，对烟气流动特性进行数值了模拟。
The properties of fire smoke flow in fire tunnel was simulated and computed by using fire flow control equations.
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