期刊
COMPUTERS & CHEMICAL ENGINEERING
卷 156, 期 -, 页码 -出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.compchemeng.2021.107556
关键词
Ontology; Semantic web; Knowledge-graph; Digital twin; Industry 4; 0; Reasoning
资金
- National Research Foundation (NRF) (NRF. CARES-C4T) , Prime Ministers' Office, Singapore
- Alexander von Humboldt foundation
The ElChemo framework addresses the challenges of M2M interaction between entities from different vertical domains, establishing interactions between chemical and electrical systems using OntoTwin ontology and SPIN reasoning techniques. Through a use case scenario involving a chemical plant and an electrical system, the potential of the framework is demonstrated as a first step towards increasing interoperability between cross-domain interactions.
The paper proposes a novel framework capable of establishing machine-to-machine (M2M) interactions between chemical and electrical systems in the industry. The framework termed as ElChemo addresses the challenges in M2M interaction of entities from different silos, such as differences in the domains' behaviour, the heterogeneities arising from different vocabularies and software. The OntoTwin ontology has been developed based on OntoPowSys and OntoEIP ontologies, which are parts of an intelligent platform called the J-Park Simulator (JPS). The ElChemo framework uses Description Logic (DL) and SPIN reasoning techniques to establish the interaction between the chemical and electrical systems in a plant. This paper presents a depropaniser section of a chemical plant and its corresponding electrical system as a use case scenario to demonstrate the interoperability between the two silos within the ElChemo framework. The results from the use case demonstrate, as a proof of concept, the potential of the proposed framework and can be considered as the first step towards the development of a knowledge graph based framework capable of increasing interoperability between cross-domain interactions. (c) 2021 Elsevier Ltd. All rights reserved.
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