Enabling Federated Learning Services Using OPC UA, Linked Data and GAIA-X in Cognitive Production
Value creation in production is based on collaboration of different stakeholders and requires the secure and sovereign exchange of knowledge. Today, knowledge has mostly been built up individually and is only exchanged in a proprietary manner. This paper presents an exemplary pipeline for federated...
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| Format: | Article |
| Language: | English |
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Publishing House of Wrocław Board of Scientific Technical Societies Federation NOT
2024-05-01
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| Series: | Journal of Machine Engineering |
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| Online Access: | http://jmacheng.not.pl/Enabling-Federated-Learning-Services-Using-OPC-UA-Linked-Data-and-GAIA-X-in-Cognitive,188618,0,2.html |
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| _version_ | 1850038998448209920 |
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| author | Christian Friedrich Stefan Vogt Franziska Rudolph Paul Patolla Jossy Milagros Grützmann Orlando Hohmeier Martin Richter Ken Wenzel Dirk Reichelt Steffen Ihlenfeldt |
| author_facet | Christian Friedrich Stefan Vogt Franziska Rudolph Paul Patolla Jossy Milagros Grützmann Orlando Hohmeier Martin Richter Ken Wenzel Dirk Reichelt Steffen Ihlenfeldt |
| author_sort | Christian Friedrich |
| collection | DOAJ |
| description | Value creation in production is based on collaboration of different stakeholders and requires the secure and sovereign exchange of knowledge. Today, knowledge has mostly been built up individually and is only exchanged in a proprietary manner. This paper presents an exemplary pipeline for federated services in cross-domain and cross-company value creation networks for cognitive production. On the example of collaboratively training of a federated machine learning model, machine tool lifetime is predicted in industrial manufacturing for high-end operating resources (high-quality cutting tools). From the shop floor to the cloud, all service relevant information is structured using existing digital twin standards and a linked data approach. In particular, the Industry 4.0 Asset Administration Shell (AAS) and OPC UA are used for collecting and referencing operational and engineering data. GAIA-X connectors transfer the service relevant data through a shared data space. The solution enables intelligent analysis and decision-making under the prioritization of data sovereignty and transparency and, therefore, acts as an enabler for future collaborative, data-driven manufacturing applications. |
| format | Article |
| id | doaj-art-d17d02a4089b4e38b446fb88579d74be |
| institution | DOAJ |
| issn | 1895-7595 2391-8071 |
| language | English |
| publishDate | 2024-05-01 |
| publisher | Publishing House of Wrocław Board of Scientific Technical Societies Federation NOT |
| record_format | Article |
| series | Journal of Machine Engineering |
| spelling | doaj-art-d17d02a4089b4e38b446fb88579d74be2025-08-20T02:56:27ZengPublishing House of Wrocław Board of Scientific Technical Societies Federation NOTJournal of Machine Engineering1895-75952391-80712024-05-01242183310.36897/jme/188618188618Enabling Federated Learning Services Using OPC UA, Linked Data and GAIA-X in Cognitive ProductionChristian Friedrich0https://orcid.org/0000-0002-1882-5524Stefan Vogt1Franziska Rudolph2Paul Patolla3Jossy Milagros Grützmann4Orlando Hohmeier5Martin Richter6Ken Wenzel7Dirk Reichelt8Steffen Ihlenfeldt9IIoT Controls, Fraunhofer IWU, GermanyFaculty of Informatic/Mathematic, HTW Dresden, GermanyDigital Production, Fraunhofer IWU, GermanyFaculty of Informatic/Mathematic, HTW Dresden, GermanyDigital Production, Fraunhofer IWU, GermanyEngineering, Katulu GmbH, GermanyIIoT Controls, Fraunhofer IWU, GermanyDigital Production, Fraunhofer IWU, GermanyFaculty of Informatic/Mathematic, HTW Dresden, GermanyIIoT Controls, Fraunhofer IWU, GermanyValue creation in production is based on collaboration of different stakeholders and requires the secure and sovereign exchange of knowledge. Today, knowledge has mostly been built up individually and is only exchanged in a proprietary manner. This paper presents an exemplary pipeline for federated services in cross-domain and cross-company value creation networks for cognitive production. On the example of collaboratively training of a federated machine learning model, machine tool lifetime is predicted in industrial manufacturing for high-end operating resources (high-quality cutting tools). From the shop floor to the cloud, all service relevant information is structured using existing digital twin standards and a linked data approach. In particular, the Industry 4.0 Asset Administration Shell (AAS) and OPC UA are used for collecting and referencing operational and engineering data. GAIA-X connectors transfer the service relevant data through a shared data space. The solution enables intelligent analysis and decision-making under the prioritization of data sovereignty and transparency and, therefore, acts as an enabler for future collaborative, data-driven manufacturing applications.http://jmacheng.not.pl/Enabling-Federated-Learning-Services-Using-OPC-UA-Linked-Data-and-GAIA-X-in-Cognitive,188618,0,2.htmlindustry 4.0digital manufacturingdata spacescognitive production |
| spellingShingle | Christian Friedrich Stefan Vogt Franziska Rudolph Paul Patolla Jossy Milagros Grützmann Orlando Hohmeier Martin Richter Ken Wenzel Dirk Reichelt Steffen Ihlenfeldt Enabling Federated Learning Services Using OPC UA, Linked Data and GAIA-X in Cognitive Production Journal of Machine Engineering industry 4.0 digital manufacturing data spaces cognitive production |
| title | Enabling Federated Learning Services Using OPC UA, Linked Data and GAIA-X in Cognitive Production |
| title_full | Enabling Federated Learning Services Using OPC UA, Linked Data and GAIA-X in Cognitive Production |
| title_fullStr | Enabling Federated Learning Services Using OPC UA, Linked Data and GAIA-X in Cognitive Production |
| title_full_unstemmed | Enabling Federated Learning Services Using OPC UA, Linked Data and GAIA-X in Cognitive Production |
| title_short | Enabling Federated Learning Services Using OPC UA, Linked Data and GAIA-X in Cognitive Production |
| title_sort | enabling federated learning services using opc ua linked data and gaia x in cognitive production |
| topic | industry 4.0 digital manufacturing data spaces cognitive production |
| url | http://jmacheng.not.pl/Enabling-Federated-Learning-Services-Using-OPC-UA-Linked-Data-and-GAIA-X-in-Cognitive,188618,0,2.html |
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