Generative and Model-driven SDK development for the Industrie 4.0 Digital Twin

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

Beitragende

Abstract

Industrie 4.0 maps the digital twin as the Asset Administration Shell. To develop this digital twin, the Asset Administration Shell meta-model is used. A developer needs high-quality libraries in their programming languages to build the Asset Administration Shell in efficient and ergonomic way. The existing representations of the meta-model are inconvenient for moving from the specification to realizations in software development. This leads to many, often manual, re-implementations of the Asset Administration Shell in each programming language. We present an approach to automatically generate libraries based on the intermediate representation of the meta-model. The approach allows for practical and simple development process of Industrie 4.0 components, and scales across programming environments and future changes in the meta-model.

Details

OriginalspracheEnglisch
Titel2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA )
Herausgeber (Verlag)IEEE
Seiten1-4
Seitenumfang4
ISBN (Print)978-1-7281-2990-7
PublikationsstatusVeröffentlicht - 10 Sept. 2021
Peer-Review-StatusJa

Konferenz

Titel2021 26th IEEE International Conference on Emerging Technologies and Factory Automation
KurztitelETFA 2021
Veranstaltungsnummer26
Dauer7 - 10 September 2021
Webseite
Ortonline
StadtVasteras
LandSchweden

Externe IDs

Scopus 85122920160
ORCID /0009-0000-2432-5529/work/153655009

Schlagworte

Schlagwörter

  • Industries, Computer languages, Digital twin, Ergonomics, Conferences, Manuals, Libraries