Digital Twin in Industrie 4.0 Implementation for Embedded Systems

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

Beitragende

Abstract

The realization of Industry 4.0 potential depends on the utilization of digital twins, commonly implemented as Asset Administration Shells (AAS). AAS provides a robust framework for describing assets and their functionalities, and is becoming a key component of digital twins for embedded systems. In the fields of Industrial Cyber Physical Systems and Industrial Internet of Things, AAS serves as a bridge between microcontroller and high-performance systems. Current Software Development Kits for AAS focus on cloud and PC applications. Building on the foundation of transpilation-based approaches, we explore novel ways to adapt SDKs for AAS to bring them to industrial embedded systems. Our method is designed to streamline the development process for microcontroller and Industrial Control System contexts. The evaluation shows the feasibility of ASS for embedded systems, current memory requirements, and the response time of ASS implemented in an embedded system. An implementation of Industry 4.0 AAS including parts of the standardized AAS REST API opens the door to further research and development of Industry 4.0 applications based on embedded systems.

Details

OriginalspracheEnglisch
Titel2025 IEEE 21st International Conference on Automation Science and Engineering (CASE)
Herausgeber (Verlag)IEEE Industrial Electronics Society
Seiten1760-1765
Seitenumfang6
ISBN (elektronisch)9798331522469
ISBN (Print)979-8-3315-2247-6
PublikationsstatusVeröffentlicht - 21 Aug. 2025
Peer-Review-StatusJa

Konferenz

Titel21st IEEE International Conference on Automation Science and Engineering
UntertitelSecured and Trustworthy Automation
KurztitelCASE 2025
Veranstaltungsnummer21
Dauer17 - 21 August 2025
Webseite
OrtMillennium Biltmore Hotel Los Angeles
StadtLos Angeles
LandUSA/Vereinigte Staaten

Externe IDs

ORCID /0000-0002-4646-4455/work/193177305
ORCID /0009-0000-2432-5529/work/193177988
Scopus 105018308814