Towards fully automated metrological traceability in process monitoring: a demonstrator approach highlighting the benefits of Digital Calibration Certificates (DCCs)

Abstract. The implementation of automation in the metrological traceability of measurements has been demonstrated to possess considerable potential for enhancing the effectiveness of quality management. This enhancement is achieved by decreasing the necessity for human interaction and reducing the risks associated with manual data processing. For this purpose, it is imperative that all metrological and administrative information in quality certificates be provided in a fully machine-readable and machine-interpretable form. The transition from paper-based calibration certificates to Digital Calibration Certificates (DCCs), which meet these requirements, enables a fully automatic process conformity monitoring system. A demonstrator that monitors the temperature of a process has been developed as an example to illustrate the potential for automation that accompanies the use of DCCs, including in security. The programming code is also published to give a starting point for the reader's own implementation.

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Publication Details

Journal
Journal of sensors and sensor systems
Published
2026-04-28
DOI
https://doi.org/10.5194/jsss-15-77-2026
Primary Topic
Advanced Statistical Process Monitoring
Type
article
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article

Towards fully automated metrological traceability in process monitoring: a demonstrator approach highlighting the benefits of Digital Calibration Certificates (DCCs)

Dominic Deuber, Carlo Tiebe, Nanine Brunner, Michael Melzer et al.
Journal of sensors and sensor systems
Advanced Statistical Process Monitoring
article

Towards fully automated metrological traceability in process monitoring: a demonstrator approach highlighting the benefits of Digital Calibration Certificates (DCCs)

Dominic Deuber, Carlo Tiebe, Nanine Brunner, Michael Melzer, Marcus Thomas
article en

Abstract

Abstract. The implementation of automation in the metrological traceability of measurements has been demonstrated to possess considerable potential for enhancing the effectiveness of quality management. This enhancement is achieved by decreasing the necessity for human interaction and reducing the risks associated with manual data processing. For this purpose, it is imperative that all metrological and administrative information in quality certificates be provided in a fully machine-readable and machine-interpretable form. The transition from paper-based calibration certificates to Digital Calibration Certificates (DCCs), which meet these requirements, enables a fully automatic process conformity monitoring system. A demonstrator that monitors the temperature of a process has been developed as an example to illustrate the potential for automation that accompanies the use of DCCs, including in security. The programming code is also published to give a starting point for the reader's own implementation.

Journal of sensors and sensor systemsVol. 15(1)
Federal Institute For Materials Research and Testing (DE), German Central Institute for Social Issues (DE)
Quality Education
Openalex Percentile: Top 10%
Advanced Statistical Process Monitoring
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