ISSN 1000-3665 CN 11-2202/P

    数字孪生技术在矿山领域的应用现状及展望

    Application status and prospect of digital twin technology in mining field

    • 摘要: 数字孪生作为将物理世界与数字模型相融合的前沿技术,目前正处于快速发展和应用拓展期,它能够解决复杂系统的模型构建、实时监控、预测维护及优化管理等问题。矿山系统具有复杂性、多尺度性、多学科交叉性和非线性等特点,数字孪生技术的应用能够为矿山领域的研究提供新方法和新途径。在回顾数字孪生基本概念和原理的基础上,总结了其概念提出、发展探索、技术成熟、应用普及和创新突破五个阶段的发展历程,梳理了在地球科学领域的应用。综述了数字孪生技术在数字矿山建设、智能矿山开采、智慧矿山监控和绿色矿山运维四个方面的研究进展,最后探讨了该技术在矿山领域应用的难点、挑战和发展趋势。数字孪生技术在矿山领域的应用可为矿山三维地质建模、智能开采与调度、设备高效运行与管护、周边生态环境保护、次生地质灾害预警和可持续发展决策等提供关键支撑,从而实现资源优化配置,提高工作效率和能源利用效率,进而推动矿业低耗高效、绿色智能和可持续发展。

       

      Abstract: As a cutting-edge technology that integrates the physical world with digital models, digital twin is currently experiencing rapid development and expanding applications. It offers effective solutions for model construction, real-time monitoring, predictive maintenance, and optimal management of complex systems. The mine system is characterized by complexity, multi-scale, multi-disciplinary intersections, and nonlinearity. The application of digital twin technology can provide a new method for research and practice in the mining field. Based on a systematic review of the fundamental concepts and principles of digital twin, this paper summarizes the development process of concept proposal, development exploration, technology maturity, application popularization, and innovation breakthrough, and reviews the application in the field of earth science. Furthermore, the research progress of digital twin technology in digital mine construction, intelligent mine mining, intelligent mine monitoring, and green mine operation and maintenance is comprehensively reviewed. The key technical challenges, existing difficulties, and future development trends of digital twin applications in mining are also discussed. The application of digital twin technology in the mining field can provide key support for three-dimensional geological modeling of mines, intelligent mining and dispatching, efficient operation and maintenance of equipment, protection of surrounding ecological environment, early warning of secondary geological disasters, and sustainable development decision-making, thereby achieving optimal resource allocation, and improving work efficiency and energy utilization efficiency. This study can further promote the low-consumption, high-efficiency, green, intelligent, and sustainable development of the mining industry.

       

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