数智驱动下露天矿高陡边坡安全监测与预警 研究进展、技术架构及发展趋势

Safety monitoring and early warning of high and steep slopes in open-pit mines driven by digital intelligence: research progress, technical architecture, and development trends

  • 摘要: 露天矿开采是矿产资源开发的主要形式,随着开采深度和范围的不断扩大,露天矿高陡边坡的稳定性和安全治理问题日益凸显,已成为制约矿产资源安全高效开发亟待解决的瓶颈问题。传统边坡监测预警难以满足实时动态、精准高效、快速响应等现实需求,数字化、智能化等先进技术成为引领矿山长期安全运营的战略选择。科学有效监测是实现滑坡灾害及时预警与主动防范的重要前提,基于对滑坡机理与破坏过程的认识,系统总结了露天矿高陡边坡智能感知与监测最新装备及技术进展,梳理和概括了边坡三维精细化表征与可视化等前沿技术方法,全面分析了边坡稳定性风险评价与预警系统等关键技术现状。指出当前露天矿边坡智能感知与预警方面存在的问题及发展趋势,需要加快多源信息数据融合的智能感知与监测体系构建,不断提升数智化技术与装备;融合数字孪生、机器学习等前沿技术,实现边坡信息透明化实时解析与反馈,精准预测边坡潜在风险;构建全域感知、协同预警和智慧应急的灾害智能监测预警平台,助力矿山边坡实现全方位、立体化实时动态安全防护。最后针对边坡灾害监测预警研究中存在的技术瓶颈提出了相应的对策,以期为我国高陡露天矿边坡灾害科学精准防控与可持续发展提供新的思维范式和技术指导。

     

    Abstract: Open pit mining is the main form of mineral resource development. With the continuous expansion of mining depth and scope, the stability and safety management of high and steep slopes in open-pit mines have become increasingly prominent, and have become a bottleneck problem that urgently needs to be solved to restrict the safe and efficient development of mineral resources. Traditional slope monitoring and early warning are difficult to meet the practical needs of real-time dynamics, precision, efficiency, and rapid response. Advanced technologies such as digitization and intelligence have become strategic choices to lead the long-term safe operation of mines. Scientific and effective monitoring is an important prerequisite for timely warning and active prevention of landslide disasters. Based on the understanding of landslide mechanisms and damage processes, this paper systematically summarizes the latest equipment and technological progress in intelligent perception and monitoring of high and steep slopes in open-pit mines, sorts out and summarizes cutting-edge technologies such as three-dimensional fine characterization and visualization of slopes, and comprehensively analyzes the current status of key technologies such as slope stability risk assessment and warning systems. Identify the problems and development trends in intelligent perception and early warning of open-pit mine slopes, and accelerate the construction of an intelligent perception and monitoring system that integrates multi-source information data, continuously improving digital technology and equipment; Integrating cutting-edge technologies such as digital twins and machine learning to achieve transparent real-time analysis and feedback of slope information, accurately predicting potential risks of slopes; Build a disaster intelligent monitoring and early warning platform with global perception, collaborative early warning, and intelligent emergency response, to help achieve comprehensive and three-dimensional real-time dynamic safety protection for mining slopes. Finally, corresponding countermeasures were proposed to address the technical bottlenecks in the monitoring and early warning research of slope disasters, in order to provide new thinking paradigms and technical guidance for the scientific, precise prevention and sustainable development of slope disasters in high and steep open-pit mines in China.

     

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