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Environment monitoring modules with fire detection capability based on IoT methodology

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dc.contributor.authorBrito, Thadeu
dc.contributor.authorAzevedo, Beatriz Flamia
dc.contributor.authorValente, António
dc.contributor.authorPereira, Ana I.
dc.contributor.authorLima, José
dc.contributor.authorCosta, Paulo Gomes da
dc.date.accessioned2023-03-21T11:54:01Z
dc.date.available2023-03-21T11:54:01Z
dc.date.issued2021
dc.description.abstractWorldwide, forests have been devastated by fires in recent years. Whe- ther by human intervention or for other reasons, the history of burned areas is increasing year after year, degrading fauna and flora. For this reason, it is vital to detect an early ignition so that firefighters can act quickly, reducing the impacts caused by forest fires. The proposed system aims to improve the nature monitoring and to assist the existing surveillance systems through Wireless Sensor Network. The network formed by the set of sensors has the potential to identify forest ignitions and, consequently, alerts the authorities through LoRaWAN communication. This work presents a prototype based on low-cost technology, which can be used in areas that require a high density of modules. Tests with a Wireless Sensor Network made up of nine prototypes demonstrate its effectiveness and robustness in terms of data transmission and collection. In this way, it is possible to apply this approach in Portuguese forests with a high level of forest fire risk, transforming them into Forests 4.0 concept. © 2021, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.pt_PT
dc.description.sponsorshipThis work has been supported by Fundac¸ao La Caixa and FCT — Fundação para a Ciência e Tecnologia within the Project Scope: UIDB/5757/2020.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationBrito, Thadeu; Azevedo, Beatriz Flamia; Valente, Antonio; Pereira, Ana I.; Lima, José; Costa, Paulo (2021). Environment monitoring modules with fire detection capability based on IoT methodology. In 6th EAI International Conference on Science and Technologies for Smart Cities, SmartCity 2020. 372, p. 211 - 227pt_PT
dc.identifier.doi10.1007/978-3-030-76063-2_16pt_PT
dc.identifier.issn18678211
dc.identifier.urihttp://hdl.handle.net/10198/27900
dc.language.isoengpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectFire detectionpt_PT
dc.subjectIoTpt_PT
dc.subjectSensor modulespt_PT
dc.subjectWildfirespt_PT
dc.subjectWSNpt_PT
dc.titleEnvironment monitoring modules with fire detection capability based on IoT methodologypt_PT
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.endPage227pt_PT
oaire.citation.startPage211pt_PT
oaire.citation.title6th EAI International Conference on Science and Technologies for Smart Cities, SmartCity 2020pt_PT
oaire.citation.volume372pt_PT
person.familyNameBrito
person.familyNameAzevedo
person.familyNamePereira
person.familyNameLima
person.givenNameThadeu
person.givenNameBeatriz Flamia
person.givenNameAna I.
person.givenNameJosé
person.identifierBjSISEAAAAAJ
person.identifierR-000-8GD
person.identifier.ciencia-idC911-A95D-712F
person.identifier.ciencia-id181E-855C-E62C
person.identifier.ciencia-id0716-B7C2-93E4
person.identifier.ciencia-id6016-C902-86A9
person.identifier.orcid0000-0002-5962-0517
person.identifier.orcid0000-0002-8527-7409
person.identifier.orcid0000-0003-3803-2043
person.identifier.orcid0000-0001-7902-1207
person.identifier.ridF-3168-2010
person.identifier.ridL-3370-2014
person.identifier.scopus-author-id57200694948
person.identifier.scopus-author-id15071961600
person.identifier.scopus-author-id55851941311
rcaap.rightsrestrictedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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relation.isAuthorOfPublication.latestForDiscoverye9981d62-2a2b-4fef-b75e-c2a14b0e7846

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