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An Intelligent and Scalable IoT Monitoring Framework for Safety in Civil Construction Workspaces

2022Conference object Restricted access
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dc.contributor.authorFerreira, Carolina
dc.contributor.authorCorreia, Luciano
dc.contributor.authorLopes, Manuel
dc.contributor.authorHenriques, João
dc.contributor.authorMartins, Pedro
dc.contributor.authorWanzeller, Cristina
dc.contributor.authorCaldeira, Filipe
dc.date.accessioned2023-07-04T09:54:35Z
dc.date.available2023-07-04T09:54:35Z
dc.date.issued2022
dc.date.updated2023-06-13T08:16:13Z
dc.description.abstractKeeping civil construction workers safe is an important challenge due to working conditions and low technological support due to the inherent costs. This work surveys the literature and proposes a scalable framework for monitoring workers to minimize the response time with real-time warnings in hazardous situations or safety incidents. From the literature, it was possible to devise a gap in business addressing this problem. To address this problem, this work proposes an IoT scalable framework able to scale to a large number of civil construction companies with a large number of workers in order. The results from this work demonstrate the feasibility of the proposed framework and the low cost of the IoT solution and the scalability of the framework offers the opportunity to leverage new innovative business models capable to leverage their revenues.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1007/978-3-031-14859-0_6pt_PT
dc.identifier.isbn9783031148583
dc.identifier.isbn9783031148590
dc.identifier.issn2194-5357
dc.identifier.issn2194-5365
dc.identifier.slugcv-prod-3037668
dc.identifier.urihttp://hdl.handle.net/10400.19/7845
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringer International Publishingpt_PT
dc.subjectInternet of Things (IoT) ·pt_PT
dc.subjectCivil engineering safetypt_PT
dc.subjectMachine learningpt_PT
dc.subjectStreaming and queuespt_PT
dc.subject· Containerspt_PT
dc.subjectMicroservicespt_PT
dc.titleAn Intelligent and Scalable IoT Monitoring Framework for Safety in Civil Construction Workspacespt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.endPage78pt_PT
oaire.citation.startPage69pt_PT
oaire.citation.titleDiTTEt 2022: New Trends in Disruptive Technologies, Tech Ethics and Artificial Intelligencept_PT
person.familyNameMenoita Henriques
person.familyNameWanzeller Guedes de Lacerda
person.familyNameCaldeira
person.givenNameJoão Pedro
person.givenNameAna Cristina
person.givenNameFilipe
person.identifierhttps://scholar.google.pt/citations?user=AExQrJwAAAAJ
person.identifierlXPmBvYAAAAJ
person.identifier.ciencia-idBB15-BFE2-17AA
person.identifier.ciencia-idE81F-11C0-E77C
person.identifier.ciencia-idCB11-8109-AB1D
person.identifier.orcid0000-0001-7380-9511
person.identifier.orcid0000-0001-7558-2330
person.identifier.scopus-author-id36023210300
rcaap.cv.cienciaidCB11-8109-AB1D | Filipe Caldeira
rcaap.rightsrestrictedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication9b3258cd-a3d1-46f9-bc04-2bdd99d87014
relation.isAuthorOfPublicationb353121e-fa46-43fe-b4c0-5e9848084d17
relation.isAuthorOfPublicatione845705e-5b0b-4f70-9c53-c472ffd768d1
relation.isAuthorOfPublication.latestForDiscovery9b3258cd-a3d1-46f9-bc04-2bdd99d87014

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