Abstract
The ongoing manufacturing systems transformation from mass production towards mass customization requires more flexible engineering solutions than the existing ones. The recently proposed control architectures target, among other plug-and-produce features, a reduction of configuration times. This is relevant for building a new production line as well as for faster reconfiguration when adding new hardware and product variants to an existing manufacturing line. This paper identifies operational requirements for such reconfiguration scenarios and proposes a way to implement them using the concept of a device adapter. The device adapter contains a device description and constantly updates it following the reconfiguration changes happening in a manufacturing system. This allows not only to detect the changes in the hardware, which appear in the production system, using the device discovery mechanisms but also automatically adapt the software. Preliminary tests have been performed on a demonstrator that shows both virtual and physical executions combined in a single system. The proposed solution supports automatic hardware and software reconfiguration on-the-fly without a need to stop and restart the whole production system.
| Originalsprache | Englisch |
|---|---|
| Titel | 2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) |
| Seiten | 49-56 |
| Seitenumfang | 8 |
| ISBN (elektronisch) | 9781728103037 |
| DOIs | |
| Publikationsstatus | Veröffentlicht - Sep. 2019 |
Publikationsreihe
| Name | IEEE International Conference on Emerging Technologies and Factory Automation, ETFA |
|---|---|
| Band | 2019-September |
| ISSN (Print) | 1946-0740 |
| ISSN (elektronisch) | 1946-0759 |
UN SDGs
Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung
-
SDG 9 – Industrie, Innovation und Infrastruktur
Wissenschaftszweige
- 202017 Embedded Systems
- 102022 Softwareentwicklung
- 102025 Verteilte Systeme
- 102029 Praktische Informatik
- 202003 Automatisierungstechnik
- 202041 Technische Informatik
JKU-Schwerpunkte
- Digital Transformation
Dieses zitieren
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver