Abstract
The fourth industrial revolution (Industry 4.0) anticipates unplanned changes of production processes. Production changes may trigger synthesis, and preferably optimization, of architecture-level decisions, such as service deployment and composition. Performing such architecture-level decisions manually is difficult due to the ever-rising complexity of Industry 4.0 systems. In order to (semi-)automate the architecture synthesis and optimization, we propose an approach of service deployment and composition by using existing domain models. Our contribution is threefold: (1) We suggest a workflow with domain models for architecture synthesis in the industrial automation. (2) We display the formalization on a part of the workflow and provide an initial prototype of service deployment synthesis using a satisfiability modulo theories (SMT) solver. (3) We envision a way of service composition and code generation, and prototypically implemented it as conclusion of the suggested workflow. We demonstrate the practical use of the proposed approach in the Industry 4.0 scenario, i.e., flexible production of new products. Index Terms—Industry 4.0, IEC 61499, deployment synthesis, service composition, code generation, model-based development.
| Originalsprache | Englisch |
|---|---|
| Titel | Proceedings - 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2021 |
| Erscheinungsort | New York, USA |
| Verlag | IEEE |
| Seiten | 1-8 |
| Seitenumfang | 8 |
| ISBN (elektronisch) | 9781728129891 |
| ISBN (Print) | 978-1-7281-2989-1 |
| DOIs | |
| Publikationsstatus | Veröffentlicht - Dez. 2021 |
Publikationsreihe
| Name | IEEE International Conference on Emerging Technologies and Factory Automation, ETFA |
|---|---|
| Band | 2021-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
- 102 Informatik
JKU-Schwerpunkte
- Digital Transformation
Projekte
- 1 Laufend
-
Christian Doppler Laboratory for Mastering Variability in Software-intensive Cyber-physical Production Systems (CDL VaSiCS)
Bauer, P. (Forscher*in), Fadhlillah, H. (Forscher*in), Gutierrez, A. (Forscher*in), Kutsia, E. (Forscher*in), Sharma, S. (Forscher*in), Sonnleithner, L. (Forscher*in), Unterdechler, M. (Forscher*in), Rabiser, R. (Projektleiter*in) & Zoitl, A. (Projektleiter*in)
01.02.2021 → 31.01.2028
Projekt: Geförderte Forschung › CDG - Christian Doppler Forschungsgesellschaft
Dieses zitieren
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver