Science and Research |
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SAR Journal |
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| ISSN 2619-9955 | eISSN 2619-9963 | Frequency:4/year | Peer Reviewed: Yes | UIKTEN Publisher |  |
Monitoring Approaches for Smart Robotic Dental Workstations Using IoT Architectures
Filip Krajňák, Ján Duplák, Maryna Yeromina, Marián Adamčík
© 2026 Maryna Yeromina, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial 4.0 International. (CC BY-NC 4.0).
Citation Information: SAR Journal. Volume 9, Issue 1, Pages 75-83, ISSN 2619-9955, https://doi.org/10.18421/SAR91-09, March 2026.
Received: 08 February 2026.
Revised: 20 March 2026.
Accepted: 25 March 2026.
Published: 27 March 2026.
Abstract:
Digital development of dental manufacturing is supported by the expansion of robotic workstations with advanced sensor monitoring. This article compares traditional local sensors with IoT multi-sensor architectures in a dental manufacturing environment with high precision requirements. Vibration, temperature, optical, force and environmental sensors are evaluated in terms of integration, diagnostic capability and support for predictive maintenance. The results demonstrated that an IoT architecture with edge processing and integration into platforms such as ThingWorx enables centralised data management, multi-parameter analysis and greater process traceability, thereby laying the foundation for smart dental workstations.
Keywords – рobotisation of dental manufacturing, IoT monitoring, smart manufacturing, multi-sensor fusion, edge computing, predictive maintenance, ThingWorx.
