Declarative Lifecycle Management in Digital Twins

Bencomo, Nelly; Kamburjan, Eduard; Tapia Tarifa, Silvia Lizeth; Broch-Johnsen, Einar

Abstract

Together, a digital twin and its physical counterpart can be seen as a self-adaptive system: the digital twin monitors the physical system, updates its own internal model of the physical system, and adjusts the physical system by means of controllers in order to maintain given requirements. As the physical system shifts between different stages in its lifecycle, these requirements, as well as the associated analyzers and controllers, may need to change. The exact triggers for such shifts in a physical system are often hard to predict, as they may be difficult to describe or even unknown; however, they can generally be observed once they have occurred, in terms of changes in the system behavior. This paper proposes an automated method for self-adaptation in digital twins to address shifts between lifecycle stages in a physical system. Our method is based on declarative descriptions of lifecycle stages for different physical assets and their associated digital twin components. Declarative lifecycle management provides a high-level, flexible method for self-adaptation of the digital twin to reflect disruptive shifts between stages in a physical system.

Citation

Bencomo, N., Kamburjan, E., Tapia Tarifa, S. L., & Broch-Johnsen, E. (2024, September). Declarative Lifecycle Management in Digital Twins. Presented at 1st International Conference on Engineering Digital Twins (EDTconf 2024), Linz, Austria

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 1st International Conference on Engineering Digital Twins (EDTconf 2024)
• Start Date: Sep 22, 2024
• End Date: Sep 27, 2024
• Acceptance Date: Aug 8, 2024
• Online Publication Date: Oct 31, 2024
• Publication Date: Oct 31, 2024
• Deposit Date: Aug 20, 2024
• Publicly Available Date: Nov 13, 2024
• Publisher: Association for Computing Machinery (ACM)
• Peer Reviewed: Peer Reviewed
• DOI: https://doi.org/10.1145/3652620.3688248
• Public URL: https://durham-repository.worktribe.com/output/2762606