Semi-Automatic Testing of Data-Focused Software Development Kits for Industrie 4.0

Research output: Contribution to book/conference proceedings/anthology/reportConference contributionContributedpeer-review

Contributors

Abstract

In Industry 4.0, the digital twin is represented as an Asset Administration Shell. The Asset Administration Shell meta-model is used to develop this digital twin. A developer needs ready-made exchange formats and data schemas to be able to work efficiently with libraries in his programming languages. The existing representations of the metamodel in XML, JSON and RDF, in their current form, have been created manually by individual working group members. This process is error-prone and inconsistent in the enforcement of serialization rules, leading to many manual re-implementations of the Asset Administration Shell in each representation. We present an approach to automatically generate the different data schemas for information exchange between partners in the Industry 4.0 value chain, based on the intermediate representation of the formalized meta-model. The approach enables a practical and simple development process of and is scalable across different exchange formats and their future changes.

Details

Original languageGerman
Title of host publication2022 IEEE 20th International Conference on Industrial Informatics (INDIN)
PublisherIEEE
Pages269-274
Number of pages6
ISBN (electronic)9781728175683
ISBN (print)978-1-7281-7569-0
Publication statusPublished - 28 Jul 2022
Peer-reviewedYes

Conference

Title2022 IEEE 20th International Conference on Industrial Informatics
Abbreviated titleINDIN 2022
Conference number20
Duration25 - 28 July 2022
Website
Locationonline
CityPerth
CountryAustralia

External IDs

Scopus 85145783224
ORCID /0009-0000-2432-5529/work/153655004
ORCID /0000-0002-4646-4455/work/163764051

Keywords

Keywords

  • Digital twins, Industries, Informatics, Interoperability, Software, Testing