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金属矿山 ›› 2026, Vol. 55 ›› Issue (2): 236-242.

• 安全与环保 • 上一篇    下一篇

基于数字孪生技术的尾矿库实时分析系统构建与探究

魏 杰1,2,3 付搏涛1,2,3 苏贺涛3 褚衍玉1,2 王 虎4 张 红5 胡 军6   

  1. 1. 中国安全生产科学研究院,北京 100012;2. 非煤矿山安全风险监测预警国家矿山安全监察局重点实验室,北京 100012;
    3. 中国地质大学(北京)工程技术学院,北京 100083;4. 华北科技学院矿山安全学院,河北 廊坊 065201;
    5. 北方工业大学土木工程学院,北京 100144;6. 辽宁科技大学土木工程学院,辽宁 鞍山 114051
  • 出版日期:2026-02-15 发布日期:2026-03-04
  • 通讯作者: 王 虎(1986—),男,高级工程师,博士。
  • 作者简介:魏 杰(1991—),男,工程师,博士研究生。
  • 基金资助:
    中国安全生产科学研究院科研项目结余经费计划项目(编号:2021YFC3001300-JY202501);中央高校基本科研业务费项目(编号:
    3142025005)。

Construction and Exploration of Real-time Analysis System of Tailings Reservoir Based on  Digital Twin Technology#br#

WEI Jie1,2,3 FU Botao1,2,3 SU Hetao3 CHU Yanyu1,2 WANG Hu4 ZHANG Hong5 HU Jun6   

  1. 1. China Academy of Safety Science and Technology,Beijing 100012,China;2. Key Laboratory of National Mine Safety
    Supervision Bureau of Non-coal Mine Safety Risk Monitoring and Early Warning,Beijing 100012,China;
    3. School of Engineering and Technology,China University of Geosciences-Beijing,Beijing 100083,China;
    4. School of Mine Safety,North China Instiute of Science and Technology,Langfang 065201,China;
    5. School of Civil Engineering,North China University of Technology,Beijing 100144,China;
    6. School of Civil Engineering,University of Science and Technology Liaoning,Anshan 114051 ,China
  • Online:2026-02-15 Published:2026-03-04

摘要: 为进一步提升尾矿库安全管理和监测预警效率,针对传统尾矿库管理方法的不足,提出了一种基于数
字孪生技术的尾矿库实时分析系统。首先阐述了数字孪生技术的基本原理及其在尾矿库安全管理中的应用,并深入
探讨了系统的架构设计及关键技术的实现;以某大型金属矿山的尾矿库工程为实施案例,验证了系统在实时监测、风
险预警和决策支持方面的有效性。实践结果表明,该系统能够显著提高尾矿库的管理水平,提前预测尾矿库的失稳
风险,为应急响应争取宝贵时间。基于数字孪生的实时分析系统为矿业安全提供了新的技术支持,为矿山企业和地
方政府提供更加高效、可靠的安全管理解决方案。

关键词: 数字孪生 尾矿库 实时监测 数据融合 风险预警

Abstract: In order to further improve the safety management and monitoring and early warning efficiency of tailings reservoir,
a real-time analysis system of tailings reservoir based on digital twin technology is proposed in view of the shortcomings
of traditional tailings reservoir management methods. Firstly,the basic principle of digital twin technology and its application in
the safety management of tailings pond are expounded,and the architecture design of the system and the realization of key technologies
are discussed in depth. Taking the tailings reservoir project of a large metal mine as an example,the effectiveness of
the system in real-time monitoring,risk early warning and decision support is verified. The practical results show that the system
can significantly improve the management level of tailings reservoir,predict the instability risk of tailings reservoir in advance,
and strive for valuable time for emergency response. The real-time analysis system based on digital twin provides new
technical support for mining safety,and provides more efficient and reliable safety management solutions for mining enterprises
and local governments.

Key words: digital twin,tailings reservoir,real-time monitoring,data fusion,risk early warning

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