唐洪, 郭军, 刘荫, 郝健池. 高地温条件下的煤自燃预报指标优选实验研究[J]. 煤矿安全, 2018, 49(6): 11-15.
    引用本文: 唐洪, 郭军, 刘荫, 郝健池. 高地温条件下的煤自燃预报指标优选实验研究[J]. 煤矿安全, 2018, 49(6): 11-15.
    TANG Hong, GUO Jun, LIU Yin, HAO Jianchi. Experimental Study on Index Optimization of Coal Spontaneous Combustion Prediction Under High Temperature[J]. Safety in Coal Mines, 2018, 49(6): 11-15.
    Citation: TANG Hong, GUO Jun, LIU Yin, HAO Jianchi. Experimental Study on Index Optimization of Coal Spontaneous Combustion Prediction Under High Temperature[J]. Safety in Coal Mines, 2018, 49(6): 11-15.

    高地温条件下的煤自燃预报指标优选实验研究

    Experimental Study on Index Optimization of Coal Spontaneous Combustion Prediction Under High Temperature

    • 摘要: 高地温环境对矿井煤自燃过程及指标气体的产生有较大的影响,从而影响煤自燃早期预报。针对这一问题,通过对煤样进行充氮40 ℃恒温处理,模拟矿井高地温环境使其以40 ℃为起点进行程序升温实验,分析指标气体变化规律,并对比常温煤样实验结果,进而进行预报指标优选。结果表明:高地温环境会使得煤体特征温度出现明显降低,指标气体浓度及增长率出现显著升高,更容易发生自然氧化;CO、C2H4、φ(CO)/φ(CO2)、链烷比能够作为主要的预报指标进行煤自燃的早期预测,CH4、C2H6只可作为辅助预报指标。

       

      Abstract: The high temperature environment has a great influence on the coal spontaneous combustion and the generation of index gas, thus affecting the early prediction of spontaneous combustion of coal. To solve the problem, based on the coal samples with nitrogen at 40 ℃, we simulated high temperature of mine environment, and made the point of 40 ℃ as the start of temperature programming experiment, analyzed the change laws of index gas, compared the experimental results of the normal coal sample to optimize index gas. The results show that the high temperature environment will make the characteristic temperature of coal decreased, concentration and growth rate of index gas increased significantly, which is more prone to natural oxidation; CO, C2H4, φ(CO)/φ(CO2), alkane ratio can be used as the main indicators of the early prediction of coal spontaneous combustion, and CH4 and C2H6 can only be used as auxiliary prediction index.

       

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