Developing an IoT-Integrated Photodiode Sensor for Efficient Radon Detection
In this paper, a low-power IoT-based radon gas detection system using a photodiode sensor is presented. The system is designed for real-time monitoring, which is optimized using Radon Eye RD200 as a calibration reference. The proposed circuit consists of a preamplifier stage, a main amplifier, a Schmitt trigger, and a pulse generator, along with a microcontroller for data processing and wireless transmission. The experimental results obtained confirm the performance of the system compared to conventional radon detection methods.
Authors
- Rui P. Pinto (ORCID: https://orcid.org/0000-0003-1069-7262)
- Seyed Nooreddin Jafari (ORCID: https://orcid.org/0000-0002-2011-9565)
- Bruno M. C. Silva (ORCID: https://orcid.org/0000-0002-5939-8370)
- L. Lopes (ORCID: https://orcid.org/0000-0002-4420-6890)
- Sandra Soares (ORCID: https://orcid.org/0000-0002-6401-5290)
- Edgar F. Ladeira (ORCID: https://orcid.org/0009-0000-9743-0127)
Institutions
- University of Beira Interior (PT)
- Instituto de Telecomunicações (PT)
Publication Details
- Published
- 2025-09-08
- DOI
- https://doi.org/10.1145/3744969.3748433
- Primary Topic
- Radiation Detection and Scintillator Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Instituto de Telecomunicações
- Fundación Bancaria Caixa d'Estalvis i Pensions de Barcelona
- Fundação para a Ciência e a Tecnologia