A data framework enabling BEM and BMS interoperability based on semantic web technologies and Brick ontology
Year: 2023
Type: conference-paper
Abstract: Heterogeneous data sources are generated during the building life cycle. These data sources contain the information required for commissioning. However, their differences in data semantics, structure, and syntax make them disparate data silos, which hinders data interoperability. In this work, a framework for data interoperability is proposed as a first step toward a service-oriented digital twin enable commissioning including gap verification between the expected and actual energy performance of a building. Based on semantic web technologies and Brick ontology, this framework allows data interoperability of heterogeneous data sources, particularly Building Energy Modeling (BEM) and Building Management Systems (BMS).
Institutions: Conservatoire National des Arts et Métiers, Centre National de la Recherche Scientifique, ParisTech, Arts et Métiers, Paris-Est Sup, Laboratoire Procédés et Ingénierie en Mécanique et Matériaux, HESAM Université, École Spéciale des Travaux Publics, Laboratoire d’Ingénierie des Systèmes Physiques et Numériques, Schneider Electric (France)
Language: English
Topic: Semantic Web and Ontologies
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4387932025