Remote monitoring of Radon gas through different IoT communication technologies
Consultable a partir de
2025-02-01
Fecha
2020Director
Versión
Acceso embargado 5 años / 5 urteko bahitura
Tipo
Trabajo Fin de Grado/Gradu Amaierako Lana
Impacto
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nodoi-noplumx
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Resumen
Radon is the second cause of lung cancer in the general population after tobacco [1]. Epidemiological
studies have convincingly demonstrated an association between indoor radon exposure and lung cancer, even
for the relatively low levels of radon that usually exist in residential buildings. Specifically, according to WHO
(World Health Organization), the proportion of lung cancer cases at natio ...
[++]
Radon is the second cause of lung cancer in the general population after tobacco [1]. Epidemiological
studies have convincingly demonstrated an association between indoor radon exposure and lung cancer, even
for the relatively low levels of radon that usually exist in residential buildings. Specifically, according to WHO
(World Health Organization), the proportion of lung cancer cases at national level attributable to radon [2]
"varies from 3% to 14%, depending on the national average radon concentration and the prevalence of tobacco
use."
Radon is a radioactive gas that emanates from rocks and soils and tends to concentrate in enclosed
spaces such as underground mines or houses [3]. The infiltration of soil gases is recognized as the most
important source of residential radon. Therefore, radon contributes significantly to the dose of ionizing radiation
received by the general population. In this sense, radon measurements are relatively simple to perform and are
essential to assess radon concentration in homes. However, the concentration of radon indoors varies depending
on the construction of buildings and ventilation habits. In addition, the concentration varies substantially not
only according to the seasons, but also from one day to another and even from one hour to another. Due to these
fluctuations, estimate the annual average radon concentration in the air of indoor requires reliable measurements
of the average radon concentration for at least three months, and preferably for longer. Short-term measurements
only provide an indicative and unreliable indication of the actual radon concentration.
It should be noted that today thanks to the opportunities offered by IoT, there are applications that allow
data to be captured unattended, sent to the internet and subsequently processed to obtain indicators and
dashboards to make decisions based on information in real time. In this project, an IoT vertical will be developed
that allows to know the levels of Radon at the residential level, allowing each user to know the status of their
home and thus facilitating the adoption of the pertinent corrective measures. This was achieved by integrating
a radon sensor on a system with an Arduino board and a SIM which sends the data through Narrowband IoT so
that it is stored on a network server and can be consulted from anywhere with a URL. [--]
Titulación
Graduado o Graduada en Ingeniería en Tecnologías Industriales por la Universidad Pública de Navarra /
Industria Teknologietako Ingeniaritzan Graduatua Nafarroako Unibertsitate Publikoan