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Smart river platform - river quality monitoring and environmental awareness

dc.contributor.authorCabanga, Kenedy
dc.contributor.authorSoares, Edmilson V.
dc.contributor.authorViveiros, Lucas Cavalcanti
dc.contributor.authorGonçalves, Estefânia
dc.contributor.authorFachada, Ivone
dc.contributor.authorLima, José
dc.contributor.authorPereira, Ana I.
dc.date.accessioned2022-04-05T14:14:12Z
dc.date.available2022-04-05T14:14:12Z
dc.date.issued2021
dc.description.abstractIn the technology communication era, the use of the Internet of Things (IoT) has become popular among other digital solutions, since it offers the integration of information from several organisms and at several sources. By means of this, we can access data from distant locations and at any time. In the specific case of water monitoring, the conventional outdated measurement methods can lead to low efficiency and complexity issues. Hence, Smart systems rise as a solution for a broad of cases. Smart River is a smart system platform developed to optimize the resources and monitoring the quality of water parameters of the Ferven¸ca river. The central solution is based at Centro Ciˆencia Viva de Bragan¸ca (CCVB), one of the 21 science centers in Portugal that aims to promote the preservation and environmental awareness for the population. By using the IoT technologies, the system allows realtime data collection with low cost and low energy consumption, being a complement of existing projects that are being developed to promote the ecological importance of natural resources. This paper covers sensor module selection for data collection inside the river and data storage. The parameters of the river are visualized using a program developed in Unity engine to present data averages and comparison between weeks, months, and years.pt_PT
dc.description.sponsorshipThis work has also been supported by Fundação La Caixa within the Project Scope: Natureza Virtual, and FCT - Fundação para a Ciência e Tecnologia within the Project Scope: UIDB/05757/2020.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1007/978-3-030-91885-9_34pt_PT
dc.identifier.urihttp://hdl.handle.net/10198/25348
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringer Naturept_PT
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectSmart systemspt_PT
dc.subjectInternet of Things (IoT)pt_PT
dc.subjectWater parameterspt_PT
dc.titleSmart river platform - river quality monitoring and environmental awarenesspt_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.conferencePlaceBragançapt_PT
oaire.citation.endPage474pt_PT
oaire.citation.startPage463pt_PT
oaire.citation.titleOptimization, learning algorithms and applications: first International Conference, OL2A 2021pt_PT
oaire.citation.volume1488pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameSoares
person.familyNameViveiros
person.familyNameLima
person.familyNamePereira
person.givenNameEdmilson V.
person.givenNameLucas Cavalcanti
person.givenNameJosé
person.givenNameAna I.
person.identifierR-000-8GD
person.identifier.ciencia-idAD1D-646F-F8AD
person.identifier.ciencia-id6016-C902-86A9
person.identifier.ciencia-id0716-B7C2-93E4
person.identifier.orcid0000-0003-4735-1986
person.identifier.orcid0000-0002-5016-8229
person.identifier.orcid0000-0001-7902-1207
person.identifier.orcid0000-0003-3803-2043
person.identifier.ridL-3370-2014
person.identifier.ridF-3168-2010
person.identifier.scopus-author-id57387321300
person.identifier.scopus-author-id55851941311
person.identifier.scopus-author-id15071961600
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsrestrictedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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