矿山采动覆岩内部岩移原位监测技术进展及应用

朱卫兵; 王晓振; 谢建林; 赵波智; 宁杉; 许家林

doi:10.13272/j.issn.1671-251x.18136

矿山采动覆岩内部岩移原位监测技术进展及应用

doi: 10.13272/j.issn.1671-251x.18136

1.
中国矿业大学矿业工程学院，江苏徐州　221116
2.
中国矿业大学煤炭精细勘探与智能开发全国重点实验室，江苏徐州　221116

基金项目: 国家自然科学基金资助项目（52074265，52274097）。

详细信息

作者简介:
朱卫兵（1978—），男，江苏南通人，教授，博士，主要研究方向为岩层移动与绿色开采，E-mail：zweibing@163.com

中图分类号: TD325
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- 被引次数: 0
出版历程
- 收稿日期: 2023-06-18
- 修回日期: 2023-09-01
- 网络出版日期: 2023-09-28

Advancements and applications: In-situ monitoring technology for overburden movement in mining

1.
School of Mines, China University of Mining and Technology, Xuzhou 221116, China
2.
National Key Laboratory of Fine Coal Exploration and Intelligent Development, Xuzhou 221116, China

摘要

摘要: 覆岩内部岩移原位监测技术具备适应深井高承压水特厚煤层开采复杂地质条件、多层位动态监测、高精度远程实时在线传输等技术特点，可为矿山企业开展顶板灾害防控提供有效的数据支撑。从煤炭开采应用实践背景出发，系统回顾了采动覆岩内部岩移原位监测技术的发展历程、技术进展和应用效果。结合我国矿压理论及岩移监测技术发展历史，全面介绍了矿山采动覆岩内部岩移原位监测技术的重要阶段，阐述了该技术在多维实时协同监测、无人在线监测和深部岩移监测3个方面所取得的理论创新与技术突破。结合补连塔煤矿、同忻煤矿、高家堡煤矿等矿井监测工程实例，展示了采动覆岩内部岩移原位监测技术在实际工程应用中的有效性，并探讨了该技术在不同类型矿区、不同研究领域的应用前景。指出矿山采动覆岩内部岩移原位监测技术的发展趋势为精确化、智能化和集成化，即通过优化传感器性能和布置方案等提高监测精度和准确性，利用人工智能、大数据和物联网技术实现自动化分析和预测，将原位监测技术与其他技术相结合以形成完整的监测系统。
- 采动覆岩 /
- 内部岩移监测 /
- 顶板灾害 /
- 矿压显现 /
- 冲击地压 /
- 岩层控制 /
- 关键层
Abstract: The in-situ monitoring technology for overburden movement in mining has the features of adapting to complex geological conditions in deep shaft high pressure water and thick coal seam mining, multi layer dynamic monitoring, and high-precision remote real-time online transmission. It provides effective data support for mining enterprises to carry out roof disaster prevention and control. Starting from the practical background of coal mining application, this paper systematically reviews the development process, technological progress, and application effects of in-situ monitoring technology for overburden movement in mining. Based on the development history of mining pressure theory and overburden movement monitoring technology in China, this paper comprehensively introduces the important stages of in-situ monitoring technology for overburden movement in mining. It elaborates on the theoretical innovation and technological breakthroughs achieved by this technology in three aspects: multidimensional real-time collaborative monitoring, unmanned online monitoring, and deep rock movement monitoring. Based on the monitoring engineering examples of coal mines such as Bulianta Coal Mine, Tongxin Coal Mine, and Gaojiabao Coal Mine, the effectiveness of in-situ monitoring technology for overburden movement in mining is demonstrated in practical engineering applications. The application prospects of this technology in different types of mining areas and research fields are discussed. It is pointed out that the development trend of in-situ monitoring technology for overburden movement in mining is precision, intelligence, and integration, namely optimizing sensor performance and layout plans to improve monitoring precision and accuracy, using artificial intelligence, big data, and Internet of things technology to achieve automatic analysis and prediction, combining the in-situ monitoring technology with other technologies to form a complete monitoring system.
- mining overburden /
- internal rock movement monitoring /
- roof disasters /
- strata behavior /
- rockburst /
- rock layer control /
- key layer

HTML全文

图 1 覆岩内部岩移多维实时协同监测体系组成

Figure 1. Composition of the multidimensional real-time cooperative monitoring system for overburden movement in mining

下载: 全尺寸图片幻灯片

图 2 矿山采动覆岩内部岩移原位监测深度发展历程

Figure 2. Development history of in-situ monitoring depth of overburden movement in mining

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图 3 补连塔煤矿测点布置及岩移监测结果

Figure 3. The arrangement of measurement points and overburden movement monitoring results of Bulianta Coal Mine

下载: 全尺寸图片幻灯片

图 4 同忻煤矿测点布置及岩移监测结果

Figure 4. The arrangement of measurement points and overburden movement monitoring results of Tongxin Coal Mine

下载: 全尺寸图片幻灯片

图 5 高家堡煤矿测点布置及岩移监测结果

Figure 5. The arrangement of measurement points and overburden movement monitoring results of Gaojiabao Coal Mine

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图 6 测点位移抬升监测

Figure 6. Measurement point displacement lift monitoring

下载: 全尺寸图片幻灯片

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