Digital Twin in Industrie 4.0 Implementation for Embedded Systems

Research output: Contribution to book/Conference proceedings/Anthology/ReportConference contributionContributedpeer-review

Contributors

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

Original languageEnglish
Title of host publication2025 IEEE 21st International Conference on Automation Science and Engineering (CASE)
PublisherIEEE Industrial Electronics Society
Pages1760-1765
Number of pages6
ISBN (electronic)9798331522469
ISBN (print)979-8-3315-2247-6
Publication statusPublished - 21 Aug 2025
Peer-reviewedYes

Conference

Title21st IEEE International Conference on Automation Science and Engineering
SubtitleSecured and Trustworthy Automation
Abbreviated titleCASE 2025
Conference number21
Duration17 - 21 August 2025
Website
LocationMillennium Biltmore Hotel Los Angeles
CityLos Angeles
CountryUnited States of America

External IDs

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