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煤最短自然发火期灰色预测模型研究
引用本文:邓军,陈晓坤,翟小伟,罗振敏.煤最短自然发火期灰色预测模型研究[J].西安科技大学学报,2004,24(4):406-408,416.
作者姓名:邓军  陈晓坤  翟小伟  罗振敏
作者单位:西安科技大学,能源学院,陕西,西安,710054
基金项目:国家自然科学基金项目(项目编号:10102016),国家杰出青年基金项目(批准号:50125414)
摘    要:根据不同煤层自然发火期实验测试结果和宏观可测定的、表征煤自身氧化放热性的常用指标,运用灰色系统理论,建立了确定蓄散热条件下的煤最短自然发火期GM(0,5)的灰色预测模型。该预测模型预测值与实际值平均相对误差为1.45%,最大相对误差为-21.27%,能真实地反映出煤层自燃性与煤的灰分、挥发分、硫分和含氧量等的影响关系,可定性用于煤自然发火期的预测。

关 键 词:  最短自然发火期  灰色预测模型  煤层自燃
文章编号:1672-9315(2004)04-0406-03

Gray prediction model of spontaneous combustion stage of coal
DENG Jun,CHENG Xiao-kun,ZHAI Xiao-wei,LUO Zhen-min.Gray prediction model of spontaneous combustion stage of coal[J].JOurnal of XI’an University of Science and Technology,2004,24(4):406-408,416.
Authors:DENG Jun  CHENG Xiao-kun  ZHAI Xiao-wei  LUO Zhen-min
Abstract:Based on the experimental results of spontaneous combustion stages of nine kinds of coal samples and indexes denoting the oxidation of coal which can be macro-determined, the G(0,5) gray prediction model is built by the gray system theory. The average relative error is about 1.45% and the most relative error is -21.27% in the prediction model. It can show the relation of the spontaneous combustion stage and the indexes such as ash, volatilization, sulphur and oxygen in coal. And the spontaneous combustion stage can be predicted with the gray model.
Keywords:coal  spontaneous combustion stage  gray prediction of coal
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