该改进算法已成功应用于煤自然发火实验温度数据的数据融合，取得了较满意的融合结果。
This improved algorithm has been applied to temperature data fusion of coal spontaneous combustion experiment successfully and achieved satisfactory results.
将有限元分析技术与煤自然发火实验台相结合，对温度场进行模拟研究，目前还属于较新的应用。
It is a new application to combine the finite element method analysis technique and the experiment unit of spontaneous combustion together to study and simulate the temperature field.
确定了煤样在不同温度下生成标志气体的规律及CO气体浓度随温度变化的规律，对预测预报煤的自然发火具有重要的理论和实际意义。
The rules for the significant gas produced by coal samples and the rules for co consistency changing by temperature were obtained at different temperature.
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