Maturity Evaluation of SDKs for I4.0 Digital Twins
Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/Gutachten › Beitrag in Konferenzband › Beigetragen › Begutachtung
Beitragende
Abstract
Digital twins, the virtual representations of physical assets, processes or systems, are becoming increasingly important in cyber-physical systems. They are a foundational block of Industry 4.0, the movement to digitalize industrial processes.The Asset Administration Shell (AAS) has been established as the preferable model to capture interoperable digital twins in the context of Industry 4.0. As asset administration shells become more prevalent, so does the need for specialized software development kits (SDKs) to manage them.The intertwined Industry 4.0 value chains are highly dependent on interoperability. The SDKs for AAS are often the direct interface between the components, and the malfunctioning of the SDKs leads to the breakage of the value chain. It is therefore important that we have the tools to determine how individual SDKs behave, and detect when they malfunction. In this work, we implement an approach to assessing the maturity of the SDKs for managing asset administration shells, and perform a thorough survey and evaluation of the existing SDKs.
Details
Originalsprache | Englisch |
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Titel | 2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA) |
Herausgeber (Verlag) | IEEE |
Seiten | 1-8 |
Seitenumfang | 8 |
ISBN (elektronisch) | 9798350339918 |
ISBN (Print) | 979-8-3503-3992-5 |
Publikationsstatus | Veröffentlicht - 15 Sept. 2023 |
Peer-Review-Status | Ja |
Konferenz
Titel | 2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation |
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Kurztitel | ETFA 2023 |
Veranstaltungsnummer | 28 |
Dauer | 12 - 15 September 2023 |
Bekanntheitsgrad | Internationale Veranstaltung |
Ort | International Centre for Conferences – CASINO Sinaia |
Stadt | Sinaia |
Land | Rumänien |
Externe IDs
Scopus | 85175428906 |
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ORCID | /0009-0000-2432-5529/work/153655002 |
ORCID | /0000-0002-4646-4455/work/163764049 |
Schlagworte
Schlagwörter
- Digital twins, Fourth Industrial Revolution, Industries, Manuals, Software, Surveys, Visualization