A Semi-Automatic Approach for Asset Administration Shell Creation from Heterogeneous Data

Jingyun Zhao, Birgit Vogel-Heuser, Fandi Bi, Josua Höfgen, Felix Ocker, Bernd Vojanec, Timo Markert, André Kraft

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations


Heterogeneous data sources and inconsistent interfaces between different engineering disciplines pose a tremendous challenge in creating a virtual representation of a real-world product or plant. To enable the interoperability between all partners in the value chain, the Plattform I4.0, consisting of German academia and industry, proposed the Asset Administration Shell (AAS), a standardized concept of digitally representing of the asset. Unfortunately, the creation of a product or process AAS implies huge manual effort in collecting and structuring information pieces from diverse engineering and operation data by hand. This work proposes a semi-automatic approach to extract engineering information from documents of the data types PDF, STP, XML, XML/AML, URDF and a method to execute AAS creation and merging. We analyze the information structure in engineering files and map it to the meta-model of the AAS. We propose a Python implementation that semi-automatically generates AASs from engineering documents and merges them into an integrated AAS representing the asset. By using the demonstrator xPPU and two industrial use cases of gear assembly and robot control, we discuss the possibilities and limitations of our proposed approach.

Original languageEnglish
Title of host publicationIFAC-PapersOnLine
EditorsHideaki Ishii, Yoshio Ebihara, Jun-ichi Imura, Masaki Yamakita
PublisherElsevier B.V.
Number of pages7
ISBN (Electronic)9781713872344
StatePublished - 1 Jul 2023
Externally publishedYes
Event22nd IFAC World Congress - Yokohama, Japan
Duration: 9 Jul 202314 Jul 2023

Publication series

ISSN (Electronic)2405-8963


Conference22nd IFAC World Congress


  • AAS creation
  • AAS merging
  • Asset Administration Shell
  • automatic information extraction
  • file format
  • heterogeneous engineering data


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