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煤矿瓦斯涌出受许多偶然和系统因素影响,瓦斯异常涌出现象难免,采用解析的数学方法难以预测和分析。文章采用统计分析方法分析了大宁煤矿南大巷掘进工作面日最大瓦斯浓度监测值分布规律,结果表明正常情况下,该矿日最大瓦斯浓度值近似服从正态分布,其最大值的平均值为μ=0.349%,标准差σ=0.199。当日最大瓦斯浓度C>0.954%,即为瓦斯异常涌出。若连续时间较长时应查明系统原因,及时采取瓦斯治理补救措施。该研究方法和分析结论可供其他煤矿企业参考。
Gas emission from coal mines is affected by many accidental and system factors. The abnormal gas emission is inevitable, and it is difficult to predict and analyze with the analytical mathematical method. The statistical analysis method was used to analyze the daily maximum gas concentration monitoring value distribution of the heading face in the Daning mine. The results show that under normal conditions, the maximum gas concentration in the mine approximately obeys the normal distribution, and the average of the maximum value is μ = 0.349%, standard deviation σ = 0.199. On the day the maximum gas concentration C> 0.954%, that is, abnormal gas emission. If the continuous time should identify the system causes, promptly take remedial measures gas control. The research methods and conclusions can be consulted by other coal mines.