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dc.contributor.authorBlanco, Óscar
dc.contributor.authorFernández-Caramés, Tiago M.
dc.contributor.authorFraga-Lamas, Paula
dc.contributor.authorCastedo, Luis
dc.date.accessioned2018-10-02T17:51:21Z
dc.date.available2018-10-02T17:51:21Z
dc.date.issued2018-07-08
dc.identifier.citationBlanco-Novoa, O.; Fernández-Caramés, T.M.; Fraga-Lamas, P.; Castedo, L. A Cost-Effective IoT System for Monitoring Indoor Radon Gas Concentration. Sensors 2018, 18, 2198.es_ES
dc.identifier.issn1424-8220
dc.identifier.issn1424-8239
dc.identifier.urihttp://hdl.handle.net/2183/21100
dc.description.abstract[Abstract] Radon is a noble gas originating from the radioactive decay chain of uranium or thorium. Most radon emanates naturally from the soil and from some building materials, so it can be found in many places around the world, in particular in regions with soils containing granite or slate. It is almost impossible for a person to detect radon gas without proper tools, since it is invisible, odorless, tasteless and colorless. The problem is that a correlation has been established between the presence of high radon gas concentrations and the incidence of lung cancer. In fact, the World Health Organization (WHO) has stated that the exposure to radon is the second most common cause of lung cancer after smoking, and it is the primary cause of lung cancer among people who have never smoked. Although there are commercial radon detectors, most of them are either expensive or provide very limited monitoring capabilities. To tackle such an issue, this article presents a cost-effective IoT radon gas remote monitoring system able to obtain accurate concentration measurements. It can also trigger events to prevent dangerous situations and to warn users about them. Moreover, the proposed solution can activate mitigation devices (e.g., forced ventilation) to decrease radon gas concentration. In order to show its performance, the system was evaluated in three different scenarios corresponding to representative buildings in Galicia (Spain), a region where high radon gas concentrations are common due to the composition of the soil. In addition, the influence of using external hardware (i.e., WiFi transceivers and an embedded System-on-Chip (SoC)) next to the radon gas sensor is studied, concluding that, in the tested scenarios, they do not interfere with the measurements.es_ES
dc.description.sponsorshipXunta de Galicia; ED431C 2016-045es_ES
dc.description.sponsorshipXunta de Galicia; ED341D R2016/012es_ES
dc.description.sponsorshipXunta de Galicia; ED431G/01es_ES
dc.description.sponsorshipAgencia Estatal de Investigación de España; TEC2015-69648-REDCes_ES
dc.description.sponsorshipAgencia Estatal de Investigación de España; TEC2016-75067-C4-1-Res_ES
dc.language.isoenges_ES
dc.publisherM D P I AGes_ES
dc.relation.urihttps://doi.org/10.3390/s18072198es_ES
dc.rightsAtribución 3.0 Españaes_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectIoTes_ES
dc.subjectRadones_ES
dc.subjectWSNes_ES
dc.subjectWireless sensor networkses_ES
dc.subjectHome automationes_ES
dc.subjectDomoticses_ES
dc.subjectSensorses_ES
dc.subjectSmart homees_ES
dc.titleA cost-effective IoT system for monitoring Indoor radon gas concentrationes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessinfo:eu-repo/semantics/openAccesses_ES
UDC.journalTitleSensorses_ES
UDC.volume18es_ES
UDC.issue7es_ES
UDC.startPage2198es_ES
dc.identifier.doi10.3390/s18072198


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