Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-23646
Publication type: Conference paper
Type of review: Peer review (publication)
Title: Generative and model-driven SDK development for the industrie 4.0 digital twin
Authors: Braunisch, Nico
Ristin, Marko
Lehmann, Robert
van de Venn, Hans Wernher
et. al: No
DOI: 10.1109/ETFA45728.2021.9613164
10.21256/zhaw-23646
Conference details: 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Västerås, Sweden, 7-10 September 2021
Issue Date: 9-Sep-2021
Publisher / Ed. Institution: IEEE
Language: English
Subjects: Industrie 4.0
Subject (DDC): 005: Computer programming, programs and data
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 highquality 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.
Further description: © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
URI: https://digitalcollection.zhaw.ch/handle/11475/23646
Fulltext version: Published version
License (according to publishing contract): Licence according to publishing contract
Departement: School of Engineering
Organisational Unit: Institute of Mechatronic Systems (IMS)
Appears in collections:Publikationen School of Engineering

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Braunisch, N., Ristin, M., Lehmann, R., & van de Venn, H. W. (2021, September 9). Generative and model-driven SDK development for the industrie 4.0 digital twin. 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Västerås, Sweden, 7-10 September 2021. https://doi.org/10.1109/ETFA45728.2021.9613164
Braunisch, N. et al. (2021) ‘Generative and model-driven SDK development for the industrie 4.0 digital twin’, in 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Västerås, Sweden, 7-10 September 2021. IEEE. Available at: https://doi.org/10.1109/ETFA45728.2021.9613164.
N. Braunisch, M. Ristin, R. Lehmann, and H. W. van de Venn, “Generative and model-driven SDK development for the industrie 4.0 digital twin,” in 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Västerås, Sweden, 7-10 September 2021, Sep. 2021. doi: 10.1109/ETFA45728.2021.9613164.
BRAUNISCH, Nico, Marko RISTIN, Robert LEHMANN und Hans Wernher VAN DE VENN, 2021. Generative and model-driven SDK development for the industrie 4.0 digital twin. In: 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Västerås, Sweden, 7-10 September 2021. Conference paper. IEEE. 9 September 2021
Braunisch, Nico, Marko Ristin, Robert Lehmann, and Hans Wernher van de Venn. 2021. “Generative and Model-Driven SDK Development for the Industrie 4.0 Digital Twin.” Conference paper. In 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Västerås, Sweden, 7-10 September 2021. IEEE. https://doi.org/10.1109/ETFA45728.2021.9613164.
Braunisch, Nico, et al. “Generative and Model-Driven SDK Development for the Industrie 4.0 Digital Twin.” 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Västerås, Sweden, 7-10 September 2021, IEEE, 2021, https://doi.org/10.1109/ETFA45728.2021.9613164.


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