煤炭工程 ›› 2025, Vol. 57 ›› Issue (9): 76-83.doi: 10. 11799/ ce202509011

• 施工技术 • 上一篇    下一篇

煤与瓦斯突出矿井煤巷智能化掘进关键技术研究

王圣志,马陈社,胡成军   

  1. 1. 中煤(天津)地下工程智能研究院有限公司,天津 300120

    2. 山西亚美大宁能源有限公司,山西 晋城 048114

  • 收稿日期:2025-07-05 修回日期:2025-08-20 出版日期:2025-09-10 发布日期:2025-10-13
  • 通讯作者: 王圣志 E-mail:1225697716@qq.com

Research on Key Technologies for Rapid Intelligent and Mechanized Anchor Excavation in Gas Outburst Mines

  • Received:2025-07-05 Revised:2025-08-20 Online:2025-09-10 Published:2025-10-13

摘要:

针对高突矿井存在的瓦斯抽采周期长、截割效率低、支护作业耗时长等技术难题,提出了一种新型智能掘进控制技术。该技术以掘锚一体机为主体,融合定向深孔瓦斯预抽、支护参数优化与瓦斯-截割联动控制,显著提升巷道掘进效率与安全性。应用结果表明:采用定向深孔钻探预抽瓦斯后,掘进工作面瓦斯含量降低46.39%;通过优化顶板支护方式与参数,支护密度降低21.77%,支护成本减少2.23%,并通过工序协同优化使掘进循环效率提高33%;构建的瓦斯涌出-截割速度联动控制系统,实现了截割参数与瓦斯浓度的动态匹配,最终巷道月进尺提高1倍以上,在显著提升掘进效率的同时保障了作业安全,实现了高突矿井巷道安全、高效、智能掘进的建设目标。

关键词:

瓦斯预抽 , 支护参数 , 巷道支护 , 智能控制 , 自适应截割

Abstract:

Tunnel driving is a critical process in coal mine production. To address issues such as prolonged gas extraction time, slow cutting speed, and extended support operation duration in gassy and outburst-prone mines, this study proposes a new intelligent control technology for underground coal mine driving. The technology centers around a roadway boring and anchoring machine, integrating advanced gas pre-drainage, optimized support parameters, and interlocking control between gas concentration and cutting parameters. This approach significantly enhances both the efficiency and safety of tunnel driving. Practical application demonstrates that using directional long-hole drilling for gas pre-drainage reduces gas content at the driving face by 46.39%. By optimizing the roof support method and parameters according to the surrounding rock conditions, support density is reduced by 21.77% and support costs are lowered by 2.23%. Additionally, rational optimization of the collaborative workflow among supporting procedures increases cyclic driving efficiency by 33%. An interlocking control system between gas emission and the boring and anchoring machine has been established, achieving optimal matching of gas emission volume with the machine’s cutting speed. As a result, the monthly driving advance has more than doubled, while operational safety has been greatly improved. These outcomes achieve the goal of safe, efficient, and intelligent tunnel driving.

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