煤炭工程 ›› 2025, Vol. 57 ›› Issue (12): 97-103.doi: 10. 11799/ ce202512013

• 生产技术 • 上一篇    下一篇

深部巷道掘进工作面复合动力灾害监测预警系统开发与应用

张建国,王文唱,魏风清,付文龙,张晓垒,段守德   

  1. 1. 平顶山天安煤业股份有限公司,河南 平顶山 467000

    2. 河南理工大学 安全科学与工程学院,河南 焦作 454000

    3. 炼焦煤资源绿色开发全国重点实验室,河南 平顶山 467000

    4. 平顶山天安煤业股份有限公司八矿,河南 平顶山 467000

  • 收稿日期:2025-06-23 修回日期:2025-08-18 出版日期:2025-12-11 发布日期:2026-01-26
  • 通讯作者: 王文唱 E-mail:1269811881@qq.com

Monitoring and early warning system of complex dynamic disasters in deep roadway driving face and its application

  • Received:2025-06-23 Revised:2025-08-18 Online:2025-12-11 Published:2026-01-26

摘要:

以平顶山矿区为工程背景,阐述了深部开采区地质构造控制下该区域内瓦斯赋存规律,并基于煤与瓦斯突出事故的分布特征和复合动力灾害的演化成因,提出了地应力、地质构造和煤厚变化带是复合动力灾害监测预警中的重点要素。引入了基于频谱声学方法的复合动力灾害监测预警系统,并应用于平顶山天安煤业八矿己15-15080运输巷和回风巷掘进工作面。试验结果表明:突出危险性指标在断层揭露前的一定距离内变化异常并超出临界值,超出临界值的位置分布在煤厚变化带与倾角变化区;瓦斯喷出和煤的突然压出指标在断层影响区以及煤厚变化带超出临界值,表明该区域具有动力灾害发生的危险性,监测预警结果符合现场工况。

关键词: 深部巷道, 复合动力灾害, 频谱声学方法, 监测预警

Abstract:

Taking the Pingdingshan mining area, a typical deep mining region, as the engineering background, the gas occurrence characteristics controlled by geological structures were elucidated. Based on the distribution features of coal and gas outburst incidents and the evolutionary causes of compound dynamic disasters, it was revealed that in-situ stress, geological structures, and coal seam thickness variation zones are the key factors in monitoring and early warning for compound dynamic disasters. Consequently, a monitoring and early warning system for such disasters, based on the spectral acoustic method, was introduced and applied to the driving faces of the Ji15-15080 machine roadway and return airway at the No. 8 Mine of Pingdingshan Tianan Coal Industry Co., Ltd. Test results indicate that: outburst risk indices exhibited abnormal variations and exceeded critical thresholds within a certain distance ahead of fault exposure, with exceedance locations distributed in coal thickness variation zones and dip angle change areas; The indexes of gas emission and sudden coal extrusion exceed the critical values in the fault-affected area and the change zone of coal thickness, indicating that this area is in danger of dynamic disasters. The monitoring and early warning outcomes are consistent with field conditions. The system provides a novel technical approach for early warning of compound dynamic disasters in deep mining.

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