Abstract:
The enrichment of raw sensor data with contextual information is essential to enabling interoperability and the automation of data analysis in Industry 4.0 applications. ...Show MoreMetadata
Abstract:
The enrichment of raw sensor data with contextual information is essential to enabling interoperability and the automation of data analysis in Industry 4.0 applications. In this paper an ontology to describe the dynamic transfer behavior of calibrated sensors in a metrologically consistent manner is presented. By merging and extending commonly used ontologies, a new ontology is constructed that describes the mathematical details of transfer models in a consistent and machine-interpretable manner. Incorporating measurement uncertainty as an integral part of the ontology, the applicability of the model is demonstrated for a calibrated sensor with a defined transfer model as well as through a series of Competency Questions.
Published in: 2021 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0&IoT)
Date of Conference: 07-09 June 2021
Date Added to IEEE Xplore: 27 July 2021
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