Web-Based BIM Platform for Building Digital Twin

Satoru Furuta, Jin Nakazato, Manabu Tsukada

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

7 Citations (Scopus)

Abstract

Building digital twin (BDT) is utilized throughout the lifecycle of a building. It serves for efficient operations during the design and construction phases, and during the operational and maintenance phases, it's used for asset management and as field maps for robots. Building Information Modeling (BIM), which contains both semantics and geometry data of building elements, holds promise as a data source for BDT. We have extracted four key technical challenges of the digital twin, particularly vital during the operational and maintenance phases: software, visualization, update, and real-scene reconstruction. Due to the exclusive and static nature of BIM, these challenges also pose significant issues in the context of BDT. To address these challenges, we designed and implemented a Web-based BIM platform. The implemented application shows not only geometry data but also semantics data, enables easy overlay with the latest indoor conditions, and provides updating functionality. The developed system is essential for the continuous operation of BDT in dynamic indoor environments. We evaluated the application through a questionnaire survey.

Original languageEnglish
Title of host publication2023 IEEE 3rd International Conference on Digital Twins and Parallel Intelligence, DTPI 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350318470
DOIs
Publication statusPublished - 2023
Event3rd IEEE International Conference on Digital Twins and Parallel Intelligence, DTPI 2023 - Orlando, United States
Duration: 7 Nov 20239 Nov 2023

Publication series

Name2023 IEEE 3rd International Conference on Digital Twins and Parallel Intelligence, DTPI 2023

Conference

Conference3rd IEEE International Conference on Digital Twins and Parallel Intelligence, DTPI 2023
Country/TerritoryUnited States
CityOrlando
Period7/11/239/11/23

Keywords

  • Building digital twin
  • Building Information Modeling
  • IFC
  • scene reconstruction
  • web browser application

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