Technical Report 265, c4e-Preprint Series, Cambridge

Authors: Aravind Devanand, Gourab Karmakar, Feroz Farazi, Nenad Krdzavac, Mei Qi Lim, Eddy Y.S. Foo, Iftekhar A. Karimi, and Markus Kraft*

Reference: Technical Report 265, c4e-Preprint Series, Cambridge, 2021

Associated Themes:
 

• OntoTwin ontology for cross-domain coupling of chemical and electrical domains in a chemical plant.
• Implement ElChemo framework as a component of J-Park Simulator.
• Ensure product quality and power quality in ElChemo framework by using the SPARQL Inference Notation (SPIN).
• Discuss the potential of integrating ElChemo framework into agent composition framework.

In this paper we propose a novel framework capable of establishing machine-to-machine (M2M) interactions between chemical and electrical systems in the industry. The semantic 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. As use-case we study 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 indicate that the proposed approach can achieve significant economic benefits.

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