Please use this identifier to cite or link to this item: https://hdl.handle.net/10316/114893
DC FieldValueLanguage
dc.contributor.authorSanchez, Oscar Torres-
dc.contributor.authorRaposo, Duarte-
dc.contributor.authorRodrigues, Andre-
dc.contributor.authorBoavida, Fernando-
dc.contributor.authorMarculescu, Radu-
dc.contributor.authorChen, Kongyang-
dc.contributor.authorSilva, Jorge Sá-
dc.date.accessioned2024-04-16T13:46:15Z-
dc.date.available2024-04-16T13:46:15Z-
dc.date.issued2023-
dc.identifier.issn2169-3536pt
dc.identifier.urihttps://hdl.handle.net/10316/114893-
dc.description.abstractIn recent years, considerable advances in connecting industrial equipment to the Internet allowed a higher level of operational efficiency, productivity, and automation. Nevertheless, the construction industry still presents challenging requirements, like long-distance wireless communication, interconnection of out-of- coverage areas, constant mobility of machinery, and support for legacy and proprietary systems. All these requirements pose different challenges when compared with traditional smart factory Industry 4.0 solutions. This paper discusses some of the current key questions regarding fleet management in the construction industry, identifies requirements for heavy-duty machinery, and proposes an Industrial Internet of Things (IIoT)-based solution for the integrated monitoring of such machinery. Also, it proposes and presents an open, innovative solution for the integrated management of non-standardized civil construction vehicle technologies. The developed prototype uses the J1939 protous and protocol to collect machinery status and Long-Range Wide Area Network (LoRaWAN) to communicate the monitored data. The solution was assessed at the construction site of the new port of Sines in Portugal. A detailed description of the proposed system is provided, along with information on trials and evaluation results regarding its performance. Additionally, the paper provides insights into open issues and challenges in this field and how our solution can contribute to overcoming them.pt
dc.language.isoengpt
dc.publisherIEEEpt
dc.relationConduril, the UT Austin – Portugal Program / INESC TECpt
dc.relationGuangzhou University in the context of Alliance Joint Research and Publication Projectspt
dc.relationUIDB/00326/2020pt
dc.relationUIDP/00326/2020pt
dc.rightsopenAccesspt
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt
dc.subjectIndustrial Internet of Thingspt
dc.subjectmanagement modelspt
dc.subjectintegrated industrial environmentspt
dc.subjectindustrial monitoringpt
dc.subjectindustrial fleet managementpt
dc.titleAn IIoT-Based Approach to the Integrated Management of Machinery in the Construction Industrypt
dc.typearticle-
degois.publication.firstPage6331pt
degois.publication.lastPage6350pt
degois.publication.titleIEEE Accesspt
dc.peerreviewedyespt
dc.identifier.doi10.1109/ACCESS.2023.3236254pt
degois.publication.volume11pt
dc.date.embargo2023-01-01*
uc.date.periodoEmbargo0pt
item.fulltextCom Texto completo-
item.grantfulltextopen-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.openairetypearticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.project.grantnoCISUC- CENTRE FOR INFORMATICS AND SYSTEMS OF THE UNIVERSITY OF COIMBRA-
crisitem.project.grantnoCENTRE FOR INFORMATICS AND SYSTEMS OF THE UNIVERSITY OF COIMBRA-
crisitem.author.researchunitCISUC - Centre for Informatics and Systems of the University of Coimbra-
crisitem.author.researchunitCISUC - Centre for Informatics and Systems of the University of Coimbra-
crisitem.author.parentresearchunitFaculty of Sciences and Technology-
crisitem.author.parentresearchunitFaculty of Sciences and Technology-
crisitem.author.orcid0000-0001-5621-7194-
crisitem.author.orcid0000-0002-1347-0242-
crisitem.author.orcid0000-0002-6273-1285-
Appears in Collections:I&D INESCC - Artigos em Revistas Internacionais
FCTUC Eng.Informática - Artigos em Revistas Internacionais
I&D CISUC - Artigos em Revistas Internacionais
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This item is licensed under a Creative Commons License Creative Commons