Maintaining Consistency of Digital Twin Models: Exploring the Potential of Graph-Based Approaches

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Samenvatting

Digital twins (DTs) encapsulate the concept of a real-world entity (RE) and corresponding bidirectionally connected virtual one (VE) mimicking certain aspects of the former in order to facilitate various use-cases such as predictive maintenance. DTs typically encompass various models that are often developed by experts from different domains using diverse tools. To maintain consistency among these models and ensure the continued functioning of the system, effective identification of any consistency issues and addressing them whenever necessary is imperative. In this paper, we investigate the concept of consistency management and propose a consistency management framework that addresses various characteristics of DT models. Subsequently, we present two case-studies that implement the proposed framework with graph-based techniques. Taking into account both case-studies, we argue that the graph-based approaches have significant potential and invite further exploration.
Originele taal-2Engels
Titel2024 50th Euromicro Conference on Software Engineering and Advanced Applications, SEAA 2024
UitgeverijInstitute of Electrical and Electronics Engineers
Pagina's152-159
Aantal pagina's8
ISBN van elektronische versie979-8-3503-8026-2
DOI's
StatusGepubliceerd - 27 dec. 2024
Evenement50th Euromicro Conference on Software Engineering and Advanced Applications, SEAA 2024 - Paris, Frankrijk
Duur: 28 aug. 202430 aug. 2024

Congres

Congres50th Euromicro Conference on Software Engineering and Advanced Applications, SEAA 2024
Verkorte titelSEAA 2024
Land/RegioFrankrijk
StadParis
Periode28/08/2430/08/24

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