Zugriffsnummer 44346
Dokumenttyp Zeitschriftenartikel
Peer Review mit Peer Review
Sprache Englisch
Titel Metrology for heterogeneous sensor networks and Industry 4.0
Übersetzungstitel Metrologie für heterogene Sensornetzwerke und Industrie 4.0
Autor(in); Institution
Eichstädt, Sascha; PSt, Präsidialer Stab, PTB-Braunschweig
Ludwig, Björn; PSt, Präsidialer Stab, PTB-Braunschweig
Quelle/Jahr Automatisierungstechnik: 68 (2020), 6, 459 - 464
ISSN 0178-2312 (PRINT) ; 2196-677X
DOI
Verlag Berlin: De Gruyter
Freie Schlagworte sensor network ; Dynamische Messung ; measurement uncertainty ; machine learning ; calibration ; MEMS ; dynamic measurement ; Sensornetzwerk ; Messunsicherheit ; Maschinelles Lernen ; Kalibrierung
Zusammenfassung Networks of sensors for different measured variables increasingly form the backbone for a variety of applications in, for example, industry, mechanical engineering and environmental monitoring. The merging of data (sensor fusion) plays a central role in the application and is generally a well investigated research area. However, the consideration of metrological basic principles such as calibration, measurement uncertainties and thus traceability to the SI system of units for comparable and reproducible measurement results has been investigated comparatively little. This article discusses fundamental questions, presents approaches to solutions from the currently running EMPIR project "Metrology for the Factory of the Future" (Met4FoF) and gives an outlook on future fields of research. The article focuses on the field of application of the so-called "Industry 4.0" as the "factory of the future". Parts of this work have been developed within the research project 17IND12 Met4FoF of the European Metrology Programme for Innovation and Research (EMPIR). EMPIR is jointly funded by the countries participating in EMPIR in EURAMET and the European Union. Article note: A German version of this article was published in tm - Technisches Messen, vol. 86, 2019, pages 623–629
Themenbereich der Metrologie Mathematik und metrologische Informationstechnik
Forschungsprojekt 17IND12: Met4FoF: Metrology for the Factory of the Future
Förderinformationen (1) Förderername: European Commission (EC)
Förderer ID: 0000 0001 2242 8989
Förderer ID Typ: ISNI
Förderprogramm: EMPIR 2017 Industry
Titel der Förderung: 17IND12: Met4FoF: Metrology for the Factory of the Future
Förderungsnummer: 17IND12
URI der Förderung: https://www.ptb.de/empir2018/met4fof/home/

Zitierung

Eichstädt, S. & Ludwig, B. (2020). Metrology for heterogeneous sensor networks and Industry 4.0. Automatisierungstechnik, 68(6), 459–464. https://doi.org/10.1515/auto-2020-0059

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