Gas radon monitoring is a very important activity that is subjected to a growing interest in recent years. The reason of this interest is due to two main aspects: (i) human health and (ii) Earth's status monitoring. To this aim many research institutes in different countries are developing Radon monitoring systems. In this paper, a first implementation of an automated and web-Accessible system able to deliver Radon gas concentration data from a low-cost sensor node to the Cloud, by giving access for processing and visualization, is presented. This system can be seen as an empowering function, following principles and constraints of an IoT application, of the existing Italian Radon mOnitoring Network, namely IRON, already deployed in a large part of Italy as a research infrastructure of the Italian National Institute of Geophysics and Volcanology (INGV). Preliminary results of this activity, presented in this paper, show the feasibility of this approach.

Towards an IoT measurement system for Radon concentration monitoring: A preliminary proposal

Cerro, Gianni
Membro del Collaboration Group
2021-01-01

Abstract

Gas radon monitoring is a very important activity that is subjected to a growing interest in recent years. The reason of this interest is due to two main aspects: (i) human health and (ii) Earth's status monitoring. To this aim many research institutes in different countries are developing Radon monitoring systems. In this paper, a first implementation of an automated and web-Accessible system able to deliver Radon gas concentration data from a low-cost sensor node to the Cloud, by giving access for processing and visualization, is presented. This system can be seen as an empowering function, following principles and constraints of an IoT application, of the existing Italian Radon mOnitoring Network, namely IRON, already deployed in a large part of Italy as a research infrastructure of the Italian National Institute of Geophysics and Volcanology (INGV). Preliminary results of this activity, presented in this paper, show the feasibility of this approach.
2021
978-1-6654-4135-3
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11695/109708
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