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Model-Driven Approach for Realization of Data Collection Architectures for Cyber-Physical Systems of Systems to Lower Manual Implementation Efforts

Data collection from distributed automated production systems is one of the main prerequisites to leverage information gain from data analysis in the context of Industrie 4.0, e.g., for the optimization of product quality. However, the realization of data collection architectures is associated with...

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Detalles Bibliográficos
Autores principales: Trunzer, Emanuel, Vogel-Heuser, Birgit, Chen, Jan-Kristof, Kohnle, Moritz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7865791/
https://www.ncbi.nlm.nih.gov/pubmed/33499280
http://dx.doi.org/10.3390/s21030745
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author Trunzer, Emanuel
Vogel-Heuser, Birgit
Chen, Jan-Kristof
Kohnle, Moritz
author_facet Trunzer, Emanuel
Vogel-Heuser, Birgit
Chen, Jan-Kristof
Kohnle, Moritz
author_sort Trunzer, Emanuel
collection PubMed
description Data collection from distributed automated production systems is one of the main prerequisites to leverage information gain from data analysis in the context of Industrie 4.0, e.g., for the optimization of product quality. However, the realization of data collection architectures is associated with immense implementation efforts due to the heterogeneity of systems, protocols, and interfaces, as well as the multitude of involved disciplines in such projects. Therefore, this paper contributes with an approach for the model-driven generation of data collection architectures to significantly lower manual implementation efforts. Via model transformations, the corresponding source code is automatically generated from formalized models that can be created using a graphical domain-specific language. The automatically generated architecture features support for various established IIoT protocols. In a lab-scale evaluation and a unique generalized extrapolation study, the significant effort savings compared to manual programming could be quantified. In conclusion, the proposed approach can successfully mitigate the current scientific and industrial challenges to enable wide-scale access to industrial data.
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spelling pubmed-78657912021-02-07 Model-Driven Approach for Realization of Data Collection Architectures for Cyber-Physical Systems of Systems to Lower Manual Implementation Efforts Trunzer, Emanuel Vogel-Heuser, Birgit Chen, Jan-Kristof Kohnle, Moritz Sensors (Basel) Article Data collection from distributed automated production systems is one of the main prerequisites to leverage information gain from data analysis in the context of Industrie 4.0, e.g., for the optimization of product quality. However, the realization of data collection architectures is associated with immense implementation efforts due to the heterogeneity of systems, protocols, and interfaces, as well as the multitude of involved disciplines in such projects. Therefore, this paper contributes with an approach for the model-driven generation of data collection architectures to significantly lower manual implementation efforts. Via model transformations, the corresponding source code is automatically generated from formalized models that can be created using a graphical domain-specific language. The automatically generated architecture features support for various established IIoT protocols. In a lab-scale evaluation and a unique generalized extrapolation study, the significant effort savings compared to manual programming could be quantified. In conclusion, the proposed approach can successfully mitigate the current scientific and industrial challenges to enable wide-scale access to industrial data. MDPI 2021-01-22 /pmc/articles/PMC7865791/ /pubmed/33499280 http://dx.doi.org/10.3390/s21030745 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Trunzer, Emanuel
Vogel-Heuser, Birgit
Chen, Jan-Kristof
Kohnle, Moritz
Model-Driven Approach for Realization of Data Collection Architectures for Cyber-Physical Systems of Systems to Lower Manual Implementation Efforts
title Model-Driven Approach for Realization of Data Collection Architectures for Cyber-Physical Systems of Systems to Lower Manual Implementation Efforts
title_full Model-Driven Approach for Realization of Data Collection Architectures for Cyber-Physical Systems of Systems to Lower Manual Implementation Efforts
title_fullStr Model-Driven Approach for Realization of Data Collection Architectures for Cyber-Physical Systems of Systems to Lower Manual Implementation Efforts
title_full_unstemmed Model-Driven Approach for Realization of Data Collection Architectures for Cyber-Physical Systems of Systems to Lower Manual Implementation Efforts
title_short Model-Driven Approach for Realization of Data Collection Architectures for Cyber-Physical Systems of Systems to Lower Manual Implementation Efforts
title_sort model-driven approach for realization of data collection architectures for cyber-physical systems of systems to lower manual implementation efforts
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7865791/
https://www.ncbi.nlm.nih.gov/pubmed/33499280
http://dx.doi.org/10.3390/s21030745
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