% % This file was created by the TYPO3 extension % bib % --- Timezone: CEST % Creation date: 2024-05-04 % Creation time: 00-41-49 % --- Number of references % 3 % @Inproceedings { 2023_bodenbenner_fairsensor, title = {FAIR Sensor Ecosystem: Long-Term (Re-)Usability of FAIR Sensor Data through Contextualization}, year = {2023}, month = {7}, day = {20}, abstract = {The long-term utility and reusability of measurement data from production processes depend on the appropriate contextualization of the measured values. These requirements further mandate that modifications to the context need to be recorded. To be (re-)used at all, the data must be easily findable in the first place, which requires arbitrary filtering and searching routines. Following the FAIR guiding principles, fostering findable, accessible, interoperable and reusable (FAIR) data, in this paper, the FAIR Sensor Ecosystem is proposed, which provides a contextualization middleware based on a unified data metamodel. All information and relations which might change over time are versioned and associated with temporal validity intervals to enable full reconstruction of a system's state at any point in time. A technical validation demonstrates the correctness of the FAIR Sensor Ecosystem, including its contextualization model and filtering techniques. State-of-the-art FAIRness assessment frameworks rate the proposed FAIR Sensor Ecosystem with an average FAIRness of 71\%. The obtained rating can be considered remarkable, as deductions mainly result from the lack of fully appropriate FAIRness metrics and the absence of relevant community standards for the domain of the manufacturing industry.}, keywords = {FAIR Data; Cyber-Physical Systems; Data Management; Data Contextualization; Internet of Production}, tags = {internet-of-production}, url = {https://www.comsys.rwth-aachen.de/fileadmin/papers/2023/2023-bodenbenner-fair-ecosystem.pdf}, publisher = {IEEE}, booktitle = {Proceedings of the 21th IEEE International Conference on Industrial Informatics (INDIN '23), July 17-20, 2023, Lemgo, Germany}, event_place = {Lemgo, Germany}, event_date = {July 17-20, 2023}, ISBN = {978-1-6654-9313-0}, ISSN = {2378-363X}, DOI = {10.1109/INDIN51400.2023.10218149}, reviewed = {1}, author = {Bodenbenner, Matthias and Pennekamp, Jan and Montavon, Benjamin and Wehrle, Klaus and Schmitt, Robert H.} } @Incollection { 2023_pennekamp_crd-a.i, title = {Evolving the Digital Industrial Infrastructure for Production: Steps Taken and the Road Ahead}, year = {2023}, month = {2}, day = {8}, pages = {35-60}, abstract = {The Internet of Production (IoP) leverages concepts such as digital shadows, data lakes, and a World Wide Lab (WWL) to advance today’s production. Consequently, it requires a technical infrastructure that can support the agile deployment of these concepts and corresponding high-level applications, which, e.g., demand the processing of massive data in motion and at rest. As such, key research aspects are the support for low-latency control loops, concepts on scalable data stream processing, deployable information security, and semantically rich and efficient long-term storage. In particular, such an infrastructure cannot continue to be limited to machines and sensors, but additionally needs to encompass networked environments: production cells, edge computing, and location-independent cloud infrastructures. Finally, in light of the envisioned WWL, i.e., the interconnection of production sites, the technical infrastructure must be advanced to support secure and privacy-preserving industrial collaboration. To evolve today’s production sites and lay the infrastructural foundation for the IoP, we identify five broad streams of research: (1) adapting data and stream processing to heterogeneous data from distributed sources, (2) ensuring data interoperability between systems and production sites, (3) exchanging and sharing data with different stakeholders, (4) network security approaches addressing the risks of increasing interconnectivity, and (5) security architectures to enable secure and privacy-preserving industrial collaboration. With our research, we evolve the underlying infrastructure from isolated, sparsely networked production sites toward an architecture that supports high-level applications and sophisticated digital shadows while facilitating the transition toward a WWL.}, keywords = {Cyber-physical production systems; Data streams; Industrial data processing; Industrial network security; Industrial data security; Secure industrial collaboration}, tags = {internet-of-production}, url = {https://www.comsys.rwth-aachen.de/fileadmin/papers/2023/2023-pennekamp-iop-a.i.pdf}, publisher = {Springer}, series = {Interdisciplinary Excellence Accelerator Series}, booktitle = {Internet of Production: Fundamentals, Applications and Proceedings}, ISBN = {978-3-031-44496-8}, DOI = {10.1007/978-3-031-44497-5_2}, reviewed = {1}, author = {Pennekamp, Jan and Belova, Anastasiia and Bergs, Thomas and Bodenbenner, Matthias and B{\"u}hrig-Polaczek, Andreas and Dahlmanns, Markus and Kunze, Ike and Kr{\"o}ger, Moritz and Geisler, Sandra and Henze, Martin and L{\"u}tticke, Daniel and Montavon, Benjamin and Niemietz, Philipp and Ortjohann, Lucia and Rudack, Maximilian and Schmitt, Robert H. and Vroomen, Uwe and Wehrle, Klaus and Zeng, Michael} } @Inproceedings { 2021-kunze-coordinate-transformation, title = {Investigating the Applicability of In-Network Computing to Industrial Scenarios}, year = {2021}, month = {5}, day = {11}, pages = {334-340}, keywords = {in-network computing; latency; approximation}, tags = {internet-of-production,reflexes}, url = {https://www.comsys.rwth-aachen.de/fileadmin/papers/2021/2021-kunze-coordinate-transformation.pdf}, publisher = {IEEE}, booktitle = {Proceedings of the 4th IEEE International Conference on Industrial Cyber-Physical Systems (ICPS '21)}, ISBN = {978-1-7281-6207-2}, DOI = {10.1109/ICPS49255.2021.9468247}, reviewed = {1}, author = {Kunze, Ike and Glebke, Ren{\'e} and Scheiper, Jan and Bodenbenner, Matthias and Schmitt, Robert H. and Wehrle, Klaus} }