程刚, 王振雪, 施斌, 朱鸿鹄, 李刚强, 张平松, 魏广庆. DFOS 在矿山工程安全开采监测中的研究进展[J]. 煤炭学报, 2022, 47(8): 2923-2949.
引用本文: 程刚, 王振雪, 施斌, 朱鸿鹄, 李刚强, 张平松, 魏广庆. DFOS 在矿山工程安全开采监测中的研究进展[J]. 煤炭学报, 2022, 47(8): 2923-2949.
CHENG Gang, WANG Zhenxue, SHI Bin, ZHU Honghu, LI Gangqiang, ZHANG Pingsong, WEI Guangqing. Research progress of DFOS in safety mining monitoring of mines[J]. Journal of China Coal Society, 2022, 47(8): 2923-2949.
Citation: CHENG Gang, WANG Zhenxue, SHI Bin, ZHU Honghu, LI Gangqiang, ZHANG Pingsong, WEI Guangqing. Research progress of DFOS in safety mining monitoring of mines[J]. Journal of China Coal Society, 2022, 47(8): 2923-2949.

DFOS 在矿山工程安全开采监测中的研究进展

Research progress of DFOS in safety mining monitoring of mines

  • 摘要: 近几十年来,国内外矿山科研人员围绕“ 如何精准高效保障矿山安全开采” 进行了大量的 探索研究,通过经验观察、理论计算、数值模拟和室内外试验,在安全开采监测新方法、新技术和新 应用等方面取得了一批重要成果,推动了我国矿山工程安全开采监测技术的不断进步和监测理论 的不断完善。 分布式光纤感测技术因具有全分布、高精度、实时性、大范围和抗干扰等优势,已成为 当前矿山工程监测及应用领域的研究焦点。 以我国当前煤炭开采面临的客观问题为背景,重点对 采动覆岩变形破坏这一矿山工程安全开采核心问题的研究方法进行了系统性评述,从技术原理、传 感器选型与系统布设等方面详细介绍了几种典型的分布式光纤感测技术( FBG,UWFBG,OTDR,BOTDR,BOTDA,BOFDA,DAS) 的特点及其在矿山工程中的适用场景,并结合矿山工程安全开采监 测要求进行了光纤传感器选型、仪器设备选型和监测系统设计的对比分析,总结了 DFOS 技术在当 前矿山工程采动覆岩变形破坏、采动断层活化、煤柱稳定性、支承压力、破碎带注浆效果评价、井筒 变形、采空区地面沉降、含水层压力、帷幕墙变形、露天矿边坡与光纤微震以及矿山温度监测与隐形 火灾探测等重点方向中的应用进展,概述性地对矿山各应用方向中的理论与技术难点进行了梳理, 探究了矿山工程安全开采监测技术的发展趋势,对 DFOS 技术在矿山工程安全开采监测中面临的 覆岩变形破坏与光缆数据互馈作用、感测光纤与岩土体耦合性能、海量光纤感测数据的人工智能算 法、覆岩变形破坏的光纤监测表征方法、矿山大变形监测的光纤适用性、多源多场监测系统的构建 方法、技术应用的规范化与标准化等关键问题和挑战进行了论述,并结合监测数据响应特征、光缆 岩土体耦合性能、光纤数据的人工智能算法与表征方法、智慧化全程监控多源多场监测等应用提出 了相应的对策。

     

    Abstract: In recent decades, many mining researchers have carried out many investigations on“how to accurately and efficiently ensure the safe mining of mines”. Through empirical observation, theoretical calculation, numerical simulation, and experimental study, a number of important achievements have been made in new methods, new technologies, and new applications of safe mining monitoring, which have promoted the continuous progress of safe mining monitoring technology and the continuous improvement of monitoring theory. Distributed fiber optic sensing technology has become the research focus in the field of mine monitoring and application because of its advantages of full distribution, high precision, realtime, large range, and antiinterference. Based on the objective problems faced by coal mining in China, the research methods of mininginduced overburden deformation and failure were systematically reviewed in this paper, which is the core problem of safe mining in mines. Also, the characteristics of several typical DFOS technologies (FBG, UWFBG, OTDR, BOTDR, BOTDA, BOFDA, DAS)and their application scenarios in mine engineering from the aspects of technical principle, sensor selection and system layout were introduced. Combined with the requirements of safe mining monitoring, the comparative analysis of fiber optic sensor selection, instrument selection and monitoring system design, the application progress of DFOS technology in the current key directions of mining engineeringwas summarized, such as mining overburden deformation and damage, mining fault activation, coal pillar stability, bearing pressure, grouting effect evaluation of fracture zone, shaft deformation, goaf ground subsidence, aquifer pressure, curtain wall deformation, open pit slope and fiber optic microvibration, mine temperature monitoring and hidden fire detection. The theoretical and technical difficulties in various application directions and the development trend of safe mining monitoring technology were also explored. The problems faced by DFOS technology, such as overburden deformation and fiber optic cable data mutual feed, sensing fiber optic and rock soil coupling performance, artificial intelligence algorithm of massive fiber optic sensing data, fiber optic monitoring characterization method of overburden deformation and damage, the applicability of fiber optic for large deformation monitoring in mines, the construction method of multisource and multifield monitoring system, the standardization of technical application, were discussed. Combined with the response characteristics of monitoring data, the coupling performance of rock and soil mass of fiber optic cable, the artificial intelligence algorithm and characterization method of fiber optic data, intelligent whole process monitoring, multisource and multifield monitoring and other applications, the corresponding countermeasures were put forward.

     

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