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KNOWLEDGE DRIVEN RULE-BASED BUILDING GEOMETRIC DIGITAL TWIN CONSTRUCTION – STATE OF ART REVIEW

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Peer-reviewed

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Authors

Wen, Ya 
Wang, Mudan 
Ariyachandra, Mahendrini 
Wei, Ran 

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.

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2024 European Conference on Computing in Construction

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Sponsorship
Horizon Europe UKRI Underwrite Innovate (10063705)
BuildSpace