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Optimal sensors positioning to detect forest fire ignitions

2020Conference paper Open access
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dc.contributor.authorBrito, Thadeu
dc.contributor.authorPereira, Ana I.
dc.contributor.authorLima, José
dc.contributor.authorCastro, João Paulo
dc.contributor.authorValente, António
dc.date.accessioned2020-05-25T11:02:51Z
dc.date.available2020-05-25T11:02:51Z
dc.date.issued2020
dc.description.abstractForests have been harassed by fire in recent years. Whether by human action or for other reasons, the burned area has increased harming fauna and flora. It is fundamental to detect an ignition early in order to firefighters fight the fire minimizing the fire impacts. The proposed Forest Monitoring System aims at improving the nature monitoring and to enhance the existing surveillance systems. A set of innovative operations is proposed that will allow to identify a forest ignition and also will monitor the fauna. For that, a set of sensors are being developed and placed in the forest to transmit data and identify forest fire ignition. This paper addresses a methodology that identifies the ideal positions to place the developed sensors in order to minimize the fire hazard. Some preliminary results are shown by a random algorithm that spread points to position sensor modules in areas with high risk of fire hazard.pt_PT
dc.description.sponsorshipThis work has been supported by 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.citationValente, António; Castro, João Paulo; Lima, José; Pereira, Ana I.:; Brito, Tadeu (2020). Optimal sensors positioning to detect forest fire ignitions. In Proceedings of the 9th International Conference on Operations Research and Enterprise Systems. Volume 1: p. 411-418. ISBN 978-989-758-396-4pt_PT
dc.identifier.doi10.5220/0009386404110418pt_PT
dc.identifier.isbn978-989-758-396-4
dc.identifier.urihttp://hdl.handle.net/10198/21965
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/pt_PT
dc.subjectWildfirespt_PT
dc.subjectForest firespt_PT
dc.subjectRegional climatept_PT
dc.subjectForest fire ignitionpt_PT
dc.subjectIgnition detectionpt_PT
dc.titleOptimal sensors positioning to detect forest fire ignitionspt_PT
dc.typeconference paper
dspace.entity.typePublication
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT
oaire.citation.conferencePlaceValletta, Maltapt_PT
oaire.citation.endPage418pt_PT
oaire.citation.startPage411pt_PT
oaire.citation.titleProceedings of the 9th International Conference on Operations Research and Enterprise Systemspt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameBrito
person.familyNamePereira
person.familyNameLima
person.familyNameCastro
person.givenNameThadeu
person.givenNameAna I.
person.givenNameJosé
person.givenNameJoão Paulo
person.identifierBjSISEAAAAAJ
person.identifierR-000-8GD
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person.identifier.orcid0000-0002-5962-0517
person.identifier.orcid0000-0003-3803-2043
person.identifier.orcid0000-0001-7902-1207
person.identifier.orcid0000-0003-0647-8892
person.identifier.ridF-3168-2010
person.identifier.ridL-3370-2014
person.identifier.ridA-8581-2014
person.identifier.scopus-author-id57200694948
person.identifier.scopus-author-id15071961600
person.identifier.scopus-author-id55851941311
person.identifier.scopus-author-id21233448700
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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