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Metal Mine ›› 2026, Vol. 55 ›› Issue (2): 236-242.

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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

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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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