This file was created by the TYPO3 extension
bib
--- Timezone: UTC
Creation date: 2025-02-17
Creation time: 21-12-32
--- Number of references
3
inproceedings
2023_bodenbenner_fairsensor
FAIR Sensor Ecosystem: Long-Term (Re-)Usability of FAIR Sensor Data through Contextualization
2023
7
20
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.
FAIR Data; Cyber-Physical Systems; Data Management; Data Contextualization; Internet of Production
internet-of-production
https://www.comsys.rwth-aachen.de/fileadmin/papers/2023/2023-bodenbenner-fair-ecosystem.pdf
IEEE
Proceedings of the 21th IEEE International Conference on Industrial Informatics (INDIN '23), July 17-20, 2023, Lemgo, Germany
Lemgo, Germany
July 17-20, 2023
978-1-6654-9313-0
2378-363X
10.1109/INDIN51400.2023.10218149
1
MatthiasBodenbenner
JanPennekamp
BenjaminMontavon
KlausWehrle
Robert H.Schmitt
incollection
2023_pennekamp_crd-a.i
Evolving the Digital Industrial Infrastructure for Production: Steps Taken and the Road Ahead
2023
2
8
35-60
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.
Cyber-physical production systems; Data streams; Industrial data processing; Industrial network security; Industrial data security; Secure industrial collaboration
internet-of-production
https://www.comsys.rwth-aachen.de/fileadmin/papers/2023/2023-pennekamp-iop-a.i.pdf
Springer
Interdisciplinary Excellence Accelerator Series
Internet of Production: Fundamentals, Applications and Proceedings
978-3-031-44496-8
10.1007/978-3-031-44497-5_2
1
JanPennekamp
AnastasiiaBelova
ThomasBergs
MatthiasBodenbenner
AndreasBührig-Polaczek
MarkusDahlmanns
IkeKunze
MoritzKröger
SandraGeisler
MartinHenze
DanielLütticke
BenjaminMontavon
PhilippNiemietz
LuciaOrtjohann
MaximilianRudack
Robert H.Schmitt
UweVroomen
KlausWehrle
MichaelZeng
inproceedings
2021-kunze-coordinate-transformation
Investigating the Applicability of In-Network Computing to Industrial Scenarios
2021
5
11
334-340
in-network computing; latency; approximation
internet-of-production,reflexes
https://www.comsys.rwth-aachen.de/fileadmin/papers/2021/2021-kunze-coordinate-transformation.pdf
IEEE
Proceedings of the 4th IEEE International Conference on Industrial Cyber-Physical Systems (ICPS '21)
978-1-7281-6207-2
10.1109/ICPS49255.2021.9468247
1
IkeKunze
RenéGlebke
JanScheiper
MatthiasBodenbenner
Robert H.Schmitt
KlausWehrle