Proceedings of the 2022 European Conference on Computing in Construction


Data integration for digital twins in the built environment

Jorge Merino 1,2, Xiang Xie 1,2, Nicola Moretti 1,2, Janet Yoon Chang 1, Ajith Kumar Parlikad 1,2
1 Institute for Manufacturing, University of Cambridge, United Kingdom
2 Centre for Digital Built Britain, University of Cambridge, United Kingdom

DOI: 10.35490/EC3.2022.172
Abstract: Digital Twins are an emerging technology in AEC/FM for the efficient operation of the built-environment. Data is still isolated in traditional Building Automation Systems (BAS) and documental databases. This paper proposes a method based on federated data models and ontologies to standardise the integration of construction data (IFC), BAS (Brick Schema), and IoT, and using data lake architectures to keep the delegation of responsibilities of data owners. A case study in the Alan Reece building demonstrates the approach by enabling Fault-Detection-and-Diagnosis of the HVAC system for facility management. Integration of all built-environment data is crucial for efficient operation.
Keywords: Digital Twin, Data Integration, Ontologies, Internet of Things (IoT), Architecture-Engineering-Construction (AEC) and Facility Management (FM)

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