Logo des Repositoriums
 
Konferenzbeitrag

Domain-agnostic Intelligent Digital Twins: Merging of Application-near Knowledge Representations with the Proactive Internet of Digital Twins (IoDT)

Zusammenfassung

Flexibility and reconfigurability regarding mass-customized products are the key premises of future industrialization. The amalgamation of Digital Twin (DT) approaches, knowledge-representing technologies, and skill-based engineering methodologies allow such approaches to emerge. This paper deals with the integration of knowledge representations as a driver for holistic system intelligence ranging from physical assets to the Internet of Digital Twins (IoDT) within the Digital Twin Reference Model (DTRM). This is what it takes to spur DTs to intelligence and proactive collaboration behaviors. Despite the domain-agnostic, universal applicability of the concept, exemplary implementation approaches from the field of production and intralogistics illustrate the feasibility. Specific domain knowledge can be dynamically aggregated and used as a basis for negotiation scenarios between DTs.

Beschreibung

Lehmann, Joel; Lober, Andreas; Häußermann, Tim; Rache, Alessa; Baumgärtel, Hartwig; Reichwald, Julian (2023): Domain-agnostic Intelligent Digital Twins: Merging of Application-near Knowledge Representations with the Proactive Internet of Digital Twins (IoDT). INFORMATIK 2023 - Designing Futures: Zukünfte gestalten. DOI: 10.18420/inf2023_176. Bonn: Gesellschaft für Informatik e.V.. PISSN: 1617-5468. ISBN: 978-3-88579-731-9. pp. 1725-1738. Wirtschaft, Management Industrie - Joint Workshop IntDig 2023 MOC 2023; Intelligente Digitalisierung, (KI-basiertes) Management und Optimierung komplexer Systeme. Berlin. 26.-29. September 2023

Zitierform

Tags