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

Ya Wen1, Mudan Wang1, Mahendrini Ariyachandra1, Ran Wei1, Ioannis Brilakis1, Lizhao Xiao2
1 University of Cambridge, United Kingdom
2 University of Hong Kong, Hong Kong SAR
DOI: 10.35490/EC3.2024.250
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.
Keywords: Building knowledge, Digital twin construction, Knowledge driven, Knowledge graph, Model-driven DT construction

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