Ontology describing dynamic objects to improve digital twin interoperability

Abstract

In recent years, the digital twin has emerged in the fields of building automation systems (BAS) and factory automation (FA). It is expected that information in real space can be reproduced in digital space to optimize control and management. On the other hand, data management of physical assets in each control and management paradigm has problems such as heterogeneity of data models and silos. To solve these problems, data modeling utilizing semantics has been attracting attention. In this study, we proposed and evaluated an ontology for representing digital twins for indoor spaces.