- Titel
- Novel Concept for Cloud-Connection of Embedded Field Devices in Automation
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:l189-qucosa2-897304
- Konferenz
- 20. AALE-Konferenz. Bielefeld, 06.03.-08.03.2024
- Quellenangabe
- Tagungsband AALE 2024
Herausgeber: Hochschule für Technik, Wirtschaft und Kultur Leipzig
Erscheinungsort: Leipzig
Erscheinungsjahr: 2024
ISBN: 978-3-910103-02-3 - Erstveröffentlichung
- 2024
- DOI
- https://doi.org/10.33968/2024.61
- Abstract (EN)
- Critical industrial applications in embedded field devices require reliability and consistency. Cloudbased services have been gaining attraction in embedded field devices for monitoring, optimization, predictive maintenance, and other supporting use cases. A significant challenge persists in enabling cloud-connection to the embedded field devices. The central issues on this matter are diversity, resource constraint, and the critical applications of these devices. This paper proposes a novel concept for enabling cloud connection to these devices. A dedicated software module, μConnector, has been introduced for cloud-related activities. It operates on Zephyr RTOS. The purpose of μConnector is to create a separation between critical and cloud related applications within the embedded field devices. μConnector is designed to be application-agnostic while being independent of vendor selection for hardware components. The scientific contribution of the paper lies in the introduction of μConnector. The presented concept addresses the challenges associated with cloud connectivity for embedded field devices. Its primary objective is to define architectural decisions guiding the implementation of the proposed software module.
- Freie Schlagwörter (DE)
- μConnector, Cloud-Connectivity, Mixed-Criticality, Diversity, RTOS, Resource Constraint
- Herausgeber (Institution)
- Hochschule für Technik, Wirtschaft und Kultur Leipzig
- Version / Begutachtungsstatus
- publizierte Version / Verlagsversion
- URN Qucosa
- urn:nbn:de:bsz:l189-qucosa2-897304
- Veröffentlichungsdatum Qucosa
- 13.02.2024
- Dokumenttyp
- Konferenzbeitrag
- Sprache des Dokumentes
- Englisch
- Lizenz / Rechtehinweis
