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.
论述了煤体与岩体的受热破坏特性，对露头煤层自燃火灾中煤岩体的热破坏机制进行了定性分析。
This paper introduced the characteristics of thermal breakage of coal and rock, and analyzed its mechanism on coal spontaneous combustion.
除了无碳烟排放的重要特点以外，和柴油相比二甲醚还具有较好的燃烧性能、较低的自燃温度和较好的雾化特性。
In addition to the significant merit of no soot emission, DME would be of better ignition quality, lower autoignition temperature and better atomization compared to diesel fuel.
利用煤层自燃的物理和化学特性，设计了一种基于虚拟仪器技术的监测预报系统，实现了实时监控和自燃预报。
A kind of monitoring and prediction system based on virtual instrument was designed in this paper, and it can realize real-time monitor and spontaneous combustion prediction in coal mine.
分析了铁的硫化物的危害特性 ，阐述了硫化物“自燃”产生的热量是造成油罐发生火灾事故的主要原因 ，并提出了相应的防护措施 ，提高油罐日常使用的安全可靠性。
Self-ignition accident by sour oil tank was analyzed, and the major reason was found to be thermal oxidation of iron sulfides generated from reaction of rust with hydrogen sulfide.
分析了铁的硫化物的危害特性 ，阐述了硫化物“自燃”产生的热量是造成油罐发生火灾事故的主要原因 ，并提出了相应的防护措施 ，提高油罐日常使用的安全可靠性。
Self-ignition accident by sour oil tank was analyzed, and the major reason was found to be thermal oxidation of iron sulfides generated from reaction of rust with hydrogen sulfide.
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