Digital Twin for Disaster Management in Smart City

Chang Taek Hyun, Sanghoon Lee, Chengquan Jin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationAdvances in Information and Communication - Proceedings of the 2024 Future of Information and Communication Conference FICC
EditorsKohei Arai
PublisherSpringer Science and Business Media Deutschland GmbH
Pages627-641
Number of pages15
ISBN (Print)9783031539596
DOIs
StatePublished - 2024
EventFuture of Information and Communication Conference, FICC 2024 - Berlin, Germany
Duration: 4 Apr 20245 Apr 2024

Publication series

NameLecture Notes in Networks and Systems
Volume919 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

ConferenceFuture of Information and Communication Conference, FICC 2024
Country/TerritoryGermany
CityBerlin
Period4/04/245/04/24

Keywords

  • Case study
  • Digital twin
  • Disaster management
  • Game engine
  • Linking BIM and GIS
  • Smart city

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