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Knowledge Driven Rule-Based Building Geometric Digital Twin Construction: State of the Art Review

Wen, Ya; Wang, Mudan; Ariyachandra, Mahendrini; Wei, Ran; Brilakis, Ioannis; Xiao, Lizhao; (2024) Knowledge Driven Rule-Based Building Geometric Digital Twin Construction: State of the Art Review. In: Proceedings of the 2024 European Conference on Computing in Construction. European Conference on Computing in Constructionan Conference on Computing in Construction: Chania, Crete, Greece. Green open access

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Abstract

Automatic construction of the building geometric digital twins (gDTs) is implemented based on the scanned data from the existing buildings. The highly detailed gDTs necessitates the top-down construction method informed by the predefined building knowledge. This paper reviews the building rules used for the model-driven building indoor environment gDTs construction. It is found that these knowledge is fragmented and lacks systematic analysis. The research categorise these rules into three groups and proposes an Ontology-based knowledge graphs (KGs) approach for organising this knowledge. This method aims to integrate rules for gDT construction to establish a knowledge system for the further research.

Type: Proceedings paper
Title: Knowledge Driven Rule-Based Building Geometric Digital Twin Construction: State of the Art Review
Event: 2024 European Conference on Computing in Construction
Location: Chania, Greece
Dates: 14th-17th July 2024
Open access status: An open access version is available from UCL Discovery
DOI: 10.35490/EC3.2024.250
Publisher version: http://www.doi.org/10.35490/EC3.2024.250
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.
Keywords: Digital Twin construction, Model-driven DT construction, Building knowledge, Knowledge driven, Knowledge graph
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment
URI: https://discovery.ucl.ac.uk/id/eprint/10195558
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