Auflistung nach Schlagwort "Cyber-physical Systems"
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- KonferenzbeitragDomain-agnostic Intelligent Digital Twins: Merging of Application-near Knowledge Representations with the Proactive Internet of Digital Twins (IoDT)(INFORMATIK 2023 - Designing Futures: Zukünfte gestalten, 2023) Lehmann, Joel; Lober, Andreas; Häußermann, Tim; Rache, Alessa; Baumgärtel, Hartwig; Reichwald, JulianFlexibility 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.
- KonferenzbeitragA Framework for Self-adaptive Workflows in Cyber-physical Systems(Software Engineering and Software Management 2019, 2019) Seiger, Ronny; Huber, Steffen; Heisig, Peter; Assmann, UweWorkflows can be a useful means to formalize and enact processes among the sensors, actuators, smart objects and humans in Cyber-physical Systems (CPS). However, the dynamic nature of CPS and their resource constraint entities require the workflows and Workflow Management Systems (WfMSes) to be resilient and self-adaptive to deal with unanticipated situations and exceptions. We propose a generic framework based on the MAPE-K feedback loop to add self-management capabilities to WfMSes in the context of CPS. A case study in the smart home domain shows the general applicability of our framework for workflows and various WfMSes.
- KonferenzbeitragModel-Driven Allocation Engineering – Abridged Version(Software Engineering 2017, 2017) Pohlmann, Uwe; Hüwe, Marcus