To pave the way towards (semi-) automated data-analysis, self-describing sensors and measurements become a key component in the context of Industry 4.0. We map concepts from existing knowledge bases into a coherent new ontology to fulfill metrological requirements of sensor and measurement descriptions. Use cases considered for this ontology cover sensor networks, network topology, network robustness, information fusion, calibration models for dynamic uncertainty, correct metrological representation and implementation performance.
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Themenbereich der Metrologie
Mathematik und metrologische Informationstechnik
Zitierung
Gruber, M. & Eichstädt, S. (2021). Representing semantic information in sensor networks. SMSI 2021 - Sensor and Measurement Science International Conference, Virtual Conference, 03-06, May, 2021. https://doi.org/10.5162/smsi2021/d1.2
