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dc.contributor.authorFernández-Caramés, Tiago M.
dc.contributor.authorFraga-Lamas, Paula
dc.contributor.authorSuárez-Albela, Manuel
dc.contributor.authorDíaz Bouza, Manuel A.
dc.date.accessioned2018-10-02T15:13:17Z
dc.date.available2018-10-02T15:13:17Z
dc.date.issued2018-06-17
dc.identifier.citationFernández-Caramés, T.M.; Fraga-Lamas, P.; Suárez-Albela, M.; Díaz-Bouza, M.A. A Fog Computing Based Cyber-Physical System for the Automation of Pipe-Related Tasks in the Industry 4.0 Shipyard. Sensors 2018, 18, 1961.es_ES
dc.identifier.issn1424-8220
dc.identifier.issn1424-8239
dc.identifier.urihttp://hdl.handle.net/2183/21098
dc.description.abstract[Abstract] Pipes are one of the key elements in the construction of ships, which usually contain between 15,000 and 40,000 of them. This huge number, as well as the variety of processes that may be performed on a pipe, require rigorous identification, quality assessment and traceability. Traditionally, such tasks have been carried out by using manual procedures and following documentation on paper, which slows down the production processes and reduces the output of a pipe workshop. This article presents a system that allows for identifying and tracking the pipes of a ship through their construction cycle. For such a purpose, a fog computing architecture is proposed to extend cloud computing to the edge of the shipyard network. The system has been developed jointly by Navantia, one of the largest shipbuilders in the world, and the University of A Coruña (Spain), through a project that makes use of some of the latest Industry 4.0 technologies. Specifically, a Cyber-Physical System (CPS) is described, which uses active Radio Frequency Identification (RFID) tags to track pipes and detect relevant events. Furthermore, the CPS has been integrated and tested in conjunction with Siemens’ Manufacturing Execution System (MES) (Simatic IT). The experiments performed on the CPS show that, in the selected real-world scenarios, fog gateways respond faster than the tested cloud server, being such gateways are also able to process successfully more samples under high-load situations. In addition, under regular loads, fog gateways react between five and 481 times faster than the alternative cloud approach.es_ES
dc.language.isoenges_ES
dc.publisherM D P I AGes_ES
dc.relation.urihttps://doi.org/10.3390/s18061961es_ES
dc.rightsAtribución 3.0 Españaes_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectRFIDes_ES
dc.subjectIndustry 4.0es_ES
dc.subjectShipyardes_ES
dc.subjectFog computinges_ES
dc.subjectIdentificationes_ES
dc.subjectSupply chain managementes_ES
dc.subjectLocalizationes_ES
dc.subjectTrackinges_ES
dc.subjectCyber-physical systemes_ES
dc.subjectIoTes_ES
dc.subjectIIoTes_ES
dc.titleA fog computing based cyber-physical system for the automation of pipe-related tasks in the Industry 4.0 shipyardes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessinfo:eu-repo/semantics/openAccesses_ES
UDC.journalTitleSensorses_ES
UDC.volume18es_ES
UDC.issue6es_ES
UDC.startPage1961es_ES
dc.identifier.doi10.3390/s18061961


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