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2025
Journal Article
Title

AAS Submodel Generator

Title Supplement
Inferring Product Data from Natural Language
Abstract
Industry 4.0 concepts use the Asset Administration Shell (AAS) to represent physical and non-physical assets, facilitating  interoperability along the whole product lifecycle. Today, the AAS is barely established in brownfield plants, mainly due to the required manual effort and expert knowledge for setup. This study proposes automated AAS submodel generation, using Large Language Models (LLMs) in order to map data from diverse sources into AAS structures. Experimental results show high accuracy and efficiency. Future work will improve image preprocessing and expand template support.
Author(s)
Heitkamp, Dennis
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Benndorf, Gesa
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Journal
atp Magazin  
DOI
10.17560/atp.v67i1-2.2773
Language
English
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Keyword(s)
  • Asset Administration Shell

  • Large Language Model

  • Brownfield

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