TY  - CONF
AU  - Vedurmudi
AU  - Miličević
AU  - Kok
AU  - Yong
AU  - Xu
AU  - Zheng
AU  - Brintrup
AU  - Gruber
AU  - Tabandeh
AU  - Zaidan
AU  - Xhonneux, André
AU  - Pearce
TI  - Automation in Sensor Network Metrology: an Overview of Methods and their Implementations
M1  - FZJ-2024-04085
SP  - 1-8
PY  - 2024
AB  - Sensor networks are an integral component of the ongoing automation of industrial processes in a diverse range of sectors. As sensors and, by extension, sensor networks provide information about physical quantities in the form of measurements, the development and adaptation of metrological practices that ensure the reliability, accuracy, and traceability of the data thus generated is essential. A complementary development of tools for the implementation of metrological methods is necessary. In this contribution we present a review of the tools and methods relevant to the automated application of metrological practices to large-scale transient sensor networks with an emphasis on uncertainty aware soft- and middleware, data fusion and machine learning. In this review, we will discuss the state-of-the-art with respect to general metrological methods and specific soft- and middleware tools and motivate future developments in sensor network metrology.
T2  - XXIV IMEKO World Congress "Think Metrology"
CY  - 26 Jul 2024 - 29 Aug 2024, Hamburg (Germany)
Y2  - 26 Jul 2024 - 29 Aug 2024
M2  - Hamburg, Germany
LB  - PUB:(DE-HGF)8 ; PUB:(DE-HGF)7
DO  - DOI:10.34734/FZJ-2024-04085
UR  - https://juser.fz-juelich.de/record/1027779
ER  -