Tim Ruhland published his latest results
Our latest paper “Data Quality in IoT Temperature Sensor Systems: Demonstrated on Time-Dependent Temperature Fluctuations” was published in the IEEE Sensors Journal.
As the integration of the Internet of Things (IoT) advances in Industry 4.0, temperature sensors are widely used in harsh industrial settings with rapid temperature fluctuations. We introduce data quality models that improve the accuracy and timeliness of temperature sensor data affected by thermal lag and delayed responses. This advancement allows industrial systems to make better-informed decisions by providing quality information with each temperature reading, enhancing system resilience and efficiency where precise temperature readings are needed.
The article is available via https://ieeexplore.ieee.org/document/10577550.
The paper was authored by Tim Ruhland, Andreas Tobola, Christoph Scholl, Maximilian Lübke and Norman Franchi.
This work was supported by the Federal Ministry for Economic Affairs and Energy, Germany, within the projects “GEMiMEG-II — Sichere und robuste kalibrierte Messsysteme für die digitale Transformation” (grant number 01MT20001A).