Bitte benutzen Sie diese Kennung, um auf die Ressource zu verweisen:
http://dx.doi.org/10.25673/39562
Titel: | Supporting resilience with industrial 5G systems and Industrie 4.0 |
Autor(en): | Cainelli, Gustavo Rauchhaupt, Lutz Underberg, Lisa |
Erscheinungsdatum: | 2021 |
Art: | Konferenzobjekt |
Sprache: | Englisch |
URN: | urn:nbn:de:gbv:ma9:1-1981185920-415198 |
Schlagwörter: | 5G systems Industrie 4.0 Resilient system |
Zusammenfassung: | In industry 4.0, production systems must be able to adapt to produce products with customer requirements. However, not only this kind of flexibility is needed. The system must also be able to adapt itself to keep working if unforeseen events occur. A system capable of this is called a resilient system. Resilience is the ability not to fail completely if a subsystem fails. This paper aims to introduce the concept of resilience in industrial 5G systems to avoid production downtime. Our approach is based on methods of the Industrie 4.0 concept in order to be able to create digital twins for 5G-networked automation systems. The digital twin, based on the Asset Administration Shell, will allow collaboration between automation and communication systems, adapting the behaviour of the process in case of unforeseen events. For this, the communication system must be considered during the development of the digital twin. |
URI: | https://opendata.uni-halle.de//handle/1981185920/41519 http://dx.doi.org/10.25673/39562 |
Open-Access: | Open-Access-Publikation |
Nutzungslizenz: | (CC BY-SA 4.0) Creative Commons Namensnennung - Weitergabe unter gleichen Bedingungen 4.0 International |
Sponsor/Geldgeber: | This work was funded in parts by the project “5G Industrial Working and Co-Working Space (5GIWCoW)” under contract 165GU041D, funded by the Federal Ministry of Transport and Digital Infrastructure, Germany |
Enthalten in den Sammlungen: | Fakultät für Elektrotechnik und Informationstechnik (OA) |
Dateien zu dieser Ressource:
Datei | Beschreibung | Größe | Format | |
---|---|---|---|---|
KommA2021_P-4_Cainelli et al._Supporting resilience_2021.pdf | Buchbeitrag | 1.44 MB | Adobe PDF | Öffnen/Anzeigen |