中国安全科学学报 ›› 2026, Vol. 36 ›› Issue (6): 102-109.doi: 10.16265/j.cnki.issn1003-3033.2026.06.1259

• 安全技术与工程 • 上一篇    下一篇

深部矿山隐伏危险区辨识与支护优化

赵林海1(), 郝晨良2,**(), 井家友1, 董陇军2, 王超1, 张腾1   

  1. 1 宝鸡西北有色二里河矿业有限公司, 陕西 宝鸡 721001
    2 中南大学 资源与安全工程学院, 湖南 长沙 410083
  • 收稿日期:2026-01-10 修回日期:2026-04-20 出版日期:2026-06-28
  • 通信作者:
    ** 郝晨良(1995—),男,山西晋中人,博士研究生,研究方向为硬岩机械开采与灾害控制。E-mail:
  • 作者简介:

    赵林海 (1988—),男,陕西宝鸡人,本科,高级工程师,从事矿山建设、地下开采、安全管理等方面的工作。E-mail:

    董陇军, 教授

  • 基金资助:
    青年科学基金(A类)资助(52425403); 中国国家留学基金资助(202506370162); 湖南省研究生科研创新项目(CX20230168)

Identification of concealed hazard zones and support optimization in deep mines

Zhao Linhai1(), Hao Chenliang2,**(), Jing Jiayou1, Dong Longjun2, Wang Chao1, Zhang Teng1   

  1. 1 Baoji Northwest Nonferrous Erlihe Mining Co. Ltd, Baoji Shaanxi 721001, China
    2 School of Resources and Safety Engineering, Central South University, Changsha Hunan 410083, China
  • Received:2026-01-10 Revised:2026-04-20 Published:2026-06-28

摘要:

深部金属矿山开采过程中动力灾害频发,现有地压监测技术与静态支护体系难以满足复杂开采环境下灾害主动防控的工程需求,为解决此问题,以二里河铅锌矿深部开采工程为依托,构建深部三维地声智能监测网络,采用动态最短路径法(DSPM)开展岩体波速层析成像,精细化辨识深部岩体隐伏致灾构造与高应力异常区;结合震级(M)、峰值地面速度(PGV)与峰值地面加速度(PGA)等地声事件参数表征震源强度与围岩震动响应水平,融合岩体质量分级结果完成支护强度动态校核,制定适配不同岩性与地压条件的差异化支护方案,并在矿区8号斜井高风险区段进行工程应用与效果验证。研究结果表明:构建的地声监测网络能够克服复杂空区环境下的信号干扰,实现岩体破裂高频弱信号的稳定捕获;波速成像结果揭示出高波速梯度带与动力灾害显现的时空相关性,可用于圈定深部岩体隐伏危险区;差异化支护方案实施后,目标区域的地声活动频次显著降低,巷道围岩大变形得到控制。

关键词: 深部矿山, 地声监测, 隐伏危险区域, 波速成像, 差异化支护

Abstract:

Dynamic hazards occur frequently during the mining process of deep metal mines, and existing ground pressure monitoring technologies and static support systems cannot meet the engineering requirements for active hazard prevention and control in complex mining environments. Based on the deep mining engineering practice at the Erlihe lead-zinc mine, a three-dimensional intelligent geoacoustic monitoring network for deep underground environments was established. The dynamic shortest path method (DSPM) was employed to perform seismic-velocity tomography of the rock mass, enabling refined identification of concealed hazard-inducing structures and high-stress anomalous zones in the deep rock mass. Source strength and the vibration response of the surrounding rock were characterized by using geoacoustic event parameters, including magnitude (M), peak ground velocity (PGV), and peak ground acceleration (PGA). By integrating rock-mass quality classification, the dynamic verification of support capacity was achieved. On this basis, differentiated support schemes suitable for varying lithologies and ground-pressure conditions were developed and then applied and validated in a high-risk section of the No. 8 inclined shaft in the mine. The results show that signal interference in complex goaf environments is effectively mitigated by the constructed geoacoustic monitoring network. Stable acquisition of high-frequency weak signals induced by rock mass fracture is realized. The spatiotemporal correlation between high velocity gradient zones and the occurrence of dynamic hazards is revealed by seismic velocity tomography results. which can be used to delineate concealed hazardous zones in deep rock mass. After the implementation of the differentiated support schemes, the frequency of geoacoustic events in the target area is significantly reduced, and large deformation of roadway surrounding rock is effectively controlled.

Key words: deep mines, geoacoustic monitoring, concealed hazardous zones, wave velocity imaging, differentiated support

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