Maturity Evaluation of SDKs for I4.0 Digital Twins
Research output: Contribution to book/conference proceedings/anthology/report › Conference contribution › Contributed › peer-review
Contributors
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
Original language | English |
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Title of host publication | 2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA) |
Publisher | IEEE |
Pages | 1-8 |
Number of pages | 8 |
ISBN (electronic) | 9798350339918 |
ISBN (print) | 979-8-3503-3992-5 |
Publication status | Published - 15 Sept 2023 |
Peer-reviewed | Yes |
Conference
Title | 2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation |
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Abbreviated title | ETFA2023 |
Conference number | 28 |
Duration | 12 - 15 September 2023 |
Degree of recognition | International event |
Location | International Centre for Conferences – CASINO Sinaia |
City | Sinaia |
Country | Romania |
External IDs
Scopus | 85175428906 |
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ORCID | /0009-0000-2432-5529/work/153655002 |
ORCID | /0000-0002-4646-4455/work/163764049 |
Keywords
Keywords
- Digital twins, Fourth Industrial Revolution, Industries, Manuals, Software, Surveys, Visualization