煤矿掘进暴露巷道瓦斯涌出量大数据计算方法

    Big Data Calculation Method for Gas Emission Quantity in Coal Mine Exposure Roadway

    • 摘要: 在现有煤矿掘进暴露巷道瓦斯涌出量计算、预测研究的基础上,运用大数据理论和方法,通过对煤矿现有海量井下环境监测历史数据计算、分析,建立暴露巷道瓦斯涌出量与井下环境监测参数之间的关系模型,并通过实时数据实现煤矿井下暴露巷道瓦斯涌出量计算,使煤矿井下掘进暴露巷道瓦斯涌出量计算更具有实时性、精准性、连续性、可操作性。

       

      Abstract: Based on the existing calculation and prediction of gas emission in coal mine exposure roadway, through the calculation and analysis of the massive historical data from environmental monitoring in underground coal mine, we establish the relationship model between the gas emission from the exposed roadway and the underground environment monitoring parameters. and realize the gas emission amount of underground exposed roadway in coal mine through the real-time data, it is more real-time, precise, continuous and maneuverable for the calculation of gas emission from exposure roadway of underground coal mine.

       

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