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Digital Twin for Disaster Management in Smart City

  • Chang-Taek Hyun,
  • Sanghoon Lee,
  • Chengquan Jin

摘要

The smart city digital twin is to digitally replicate city objects in the real world in virtual space and implement real-time synchronization with the real world to analyze big data, simulate various service scenarios, and perform processes such as monitoring and activation. Utilizing these digital twins solves urban problems, including disasters such as fires, floods, and earthquakes, improves the quality of life of citizens, and enables sustainable urban development. In this study, a practical linking process of BIM and GIS data and methods to overcome the overload caused by the large capacity of BIM data were proposed. A plan to develop a general-purpose digital twin that is not dependent on a specific development tool was proposed. Based on these measures, a digital twin for a smart city was built using a game engine, sensor installation, and monitoring through network communication, and disaster response measures were sought. In the event of a fire, it is possible to detect fire through sensor monitoring, guide occupant evacuation route, and guide fire engine dispatch route. The process and the method proposed in this study were verified by applying case studies to a specific region. The digital twin platform presented in this study is expected to be the basis for various smart city related services such as disaster management, energy management, etc.