An Ontology-Based Meta-modelling Approach for Semantic-Driven Building Management Systems

The increase in smart buildings has led to an increase in data produced and consumed by buildings. Despite growing digitalisation trends, data interoperability, data quality, and a lack of transparency hinder the development of scalable energy applications. Knowledge graphs alleviate some of these challenges through their ability to integrate and analyse diverse data sources. Despite these benefits, knowledge graphs require specific skills typically uncommon in building and energy system engineers. This work tackles this challenge by enabling system engineers to create and maintain knowledge graphs about BMS by dealing with visual diagrammatical models they are familiar with. For this, we built on the ontology-based meta-modelling approach and created a proof-of-concept AOAME4BMS, in which we implemented a BMS and used it for evaluation purposes.