TY - GEN
T1 - Digital Twin for Disaster Management in Smart City
AU - Hyun, Chang Taek
AU - Lee, Sanghoon
AU - Jin, Chengquan
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - Case study
KW - Digital twin
KW - Disaster management
KW - Game engine
KW - Linking BIM and GIS
KW - Smart city
UR - http://www.scopus.com/inward/record.url?scp=85189539202&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-53960-2_41
DO - 10.1007/978-3-031-53960-2_41
M3 - Conference contribution
AN - SCOPUS:85189539202
SN - 9783031539596
T3 - Lecture Notes in Networks and Systems
SP - 627
EP - 641
BT - Advances in Information and Communication - Proceedings of the 2024 Future of Information and Communication Conference FICC
A2 - Arai, Kohei
PB - Springer Science and Business Media Deutschland GmbH
T2 - Future of Information and Communication Conference, FICC 2024
Y2 - 4 April 2024 through 5 April 2024
ER -