Articles | Volume 10, issue 2
J. Sens. Sens. Syst., 10, 289–295, 2021
https://doi.org/10.5194/jsss-10-289-2021
J. Sens. Sens. Syst., 10, 289–295, 2021
https://doi.org/10.5194/jsss-10-289-2021

Regular research article 13 Dec 2021

Regular research article | 13 Dec 2021

Validation of SI-based digital data of measurement using the TraCIM system

Daniel Hutzschenreuter et al.

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Cited articles

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Bojan, A., Weber, H., Hutzschenreuter, D., and Smith, I.: Communication and validation of metrological smart data in IoT-networks, Adv. Prod. Eng. Manag., 15, 107–117, https://doi.org/10.14743/apem2020.1.353, 2020. a
Brown, C., Elo, T., Hovhannisyan, K., Hutzschenreuter, D., Kuosmanen, P., Olaf, M., Mustapää, T., Nikander, P., and Wiedenhöfer, T.: Infrastructure for Digital Calibration Certificates, 2020 IEEE International Workshop on Metrology for Industry 4.0 & IoT, 3–5 June 2020, Roma, Italy, https://doi.org/10.1109/MetroInd4.0IoT48571.2020.9138220, 2020. a
Eichstädt, S., Bär, M., Elster, C., Hackel, S. G., and Härtig, F.: Metrology for the Digitalization of the Economy and Society, Physikalisch-Technische Bundesanstalt, PTB Mitteilungen, Fachverlag NW, Carl Schünemann, Bremen, Germany, https://doi.org/10.7795/310.20170499, 2017. a
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The paper presents a concept for an automated classification of machine-readable data from measurement according to its agreement with metrological guidelines. An implementation of the classification was realized within the TraCIM online validation system for trustworthy certification of software that is under quality management. The research was collaboratively made by the partners of the European Metrology Research Project SmartCom.