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Prediction of Spontaneous Combustion Potential of Coal in the Gob Area Using CO Extreme Concentration: A Case Study

机译：利用CO极度浓度预测采空区煤炭自燃潜力的案例研究

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摘要

Early prediction is one of the key technologies to the prevention and extinguishment of spontaneous combustion of coal. The aim of this study was to propose a type of scientific and convenient forecasting indicator for initial spontaneous combustion of coal in the gob area. The authors developed the calculation model of carbon monoxide (CO) concentration in the air return corner based on the generation mechanism, sources, and influencing factors of CO. The parameters obtained from both large-scale coal self-heating experiment and in-situ observation of four collieries in Yuanyang lake mine area were used to calculate the extreme value of CO concentrations on various stages of spontaneous combustion. The established indicators were applied to specific coal mine scenarios and combined with the in-situ measurements. It demonstrates that this method has provided the scientific guidance for safer exploitation on coal mines. Furthermore, the main reasons of unstable CO concentrations in the return corner and its relationship with prevention measures were also examined. In summary, the results showed that the forecasting indicators established can meet the requirements of identification of spontaneous combustion potential of coal in Yuanyang lake mine area.
机译：早期预测是预防和扑灭煤炭自燃的关键技术之一。这项研究的目的是为采空区煤的初始自燃提出一种科学，方便的预测指标。基于CO的产生机理，来源和影响因素，建立了回风角一氧化碳浓度计算模型。通过大规模煤自热实验和现场观测获得了参数。利用Yuan阳湖矿区的四个煤矿中的四个煤矿，计算了自燃各个阶段的CO浓度的极值。已建立的指标适用于特定的煤矿场景，并与现场测量相结合。说明该方法为煤矿安全开采提供了科学指导。此外，还研究了返回角CO浓度不稳定的主要原因及其与预防措施的关系。综上所述，结果表明所建立的预测指标能够满足meet阳湖矿区煤自燃潜力的识别要求。

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