Mavrokapnidis, D; Katsigarakis, K; Pauwels, P; Petrova, E; Korolija, I; Rovas, D; (2021) A linked-data paradigm for the integration of static and dynamic building data in digital twins. In: BuildSys 2021 - Proceedings of the 2021 ACM International Conference on Systems for Energy-Efficient Built Environments. (pp. pp. 369-372). ACM: New York, NY, USA.

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Abstract

Digital Twins is an emerging field of research, mainly because they span the entire building lifecycle promising to uncover hidden inefficiencies and deliver data-driven applications. Broadly defined as real-time digital representations of physical assets, Digital Twins require a connection between static and real-time data. However, building information is usually stored in different formats across the lifecycle, making data integration a challenging task. We hereby often rely on linked data technologies, yet overall system integration approaches with multiple types of data sources. In this work, a data linking methodology is proposed to combine static building design data from Industry Foundation Classes (IFC) and dynamic data using the Brick Schema; a domain ontology which configures data analytics applications during the operational phase. To facilitate this integration, we develop a tool to facilitate the linking of building topology, product, and sensor data using the two schemata. The implementation of our methodology in a real test case demonstrates its significance in combining diverse data sources which can be an important step for the delivery of Digital Twin applications.

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