Zhang Chaolin, Wang Enyuan, Xu Jiang, Peng Shoujian
Key Laboratory of Gas and Fire Control for Coal Mines, Ministry of Education, China University of Mining and Technology, Xuzhou 221116, China.
School of Safety Engineering, China University of Mining and Technology, Xuzhou 221116, China.
Sensors (Basel). 2020 Sep 27;20(19):5526. doi: 10.3390/s20195526.
Coal and gas outbursts are among the most severe disasters threatening the safety of coal mines around the world. They are dynamic phenomena characterized by large quantities of coal and gas ejected from working faces within a short time. Numerous researchers have conducted studies on outburst prediction, and a variety of indices have been developed to this end. However, these indices are usually empirical or based on local experience, and the accurate prediction of outbursts is not feasible due to the complicated mechanisms of outbursts. This study conducts outburst experiments using large-scale multifunctional equipment developed in the laboratory to develop a more robust outburst prediction method. In this study, the coal temperature during the outburst process was monitored using temperature sensors. The results show that the coal temperature decreased rapidly as the outburst progressed. Meanwhile, the coal temperature in locations far from the outburst mouth increased. The coal broken in the stress concentration state is the main factor causing the abnormal temperature rise. The discovery of these phenomena lays a theoretical foundation and provides an experimental basis for an effective outburst prediction method. An outburst prediction method based on monitoring temperature was proposed, and has a simpler and faster operation process and is not easily disturbed by coal mining activities. What is more, the critical values of coal temperature rises or temperature gradients can be flexibly adjusted according to the actual situations of different coal mines to predict outbursts more effectively and accurately.
煤与瓦斯突出是威胁全球煤矿安全的最严重灾害之一。它们是一种动态现象，其特征是在短时间内从工作面喷出大量的煤和瓦斯。众多研究人员对突出预测进行了研究，并为此开发了多种指标。然而，这些指标通常是经验性的或基于当地经验，由于突出机制复杂，准确预测突出是不可行的。本研究利用实验室开发的大型多功能设备进行突出实验，以开发一种更可靠的突出预测方法。在本研究中，使用温度传感器监测突出过程中的煤温。结果表明，随着突出的进行，煤温迅速下降。同时，远离突出口位置的煤温升高。处于应力集中状态破碎的煤是导致温度异常升高的主要因素。这些现象的发现为有效的突出预测方法奠定了理论基础并提供了实验依据。提出了一种基于监测温度的突出预测方法，该方法操作过程更简单、更快，且不易受采煤活动干扰。此外，煤温升高或温度梯度的临界值可根据不同煤矿的实际情况灵活调整，以更有效、准确地预测突出。
