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Multi-agent system for monitoring temperature in sensing surfaces including hard and soft sensors

2021Comunicação em conferência Acesso aberto
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dc.contributor.authorAmaral, Fábio Francisco Soeiro
dc.contributor.authorSakurada, Lucas
dc.contributor.authorLeitão, Paulo
dc.contributor.authorLarangeira, Jorge
dc.date.accessioned2022-01-13T14:19:20Z
dc.date.available2022-01-13T14:19:20Z
dc.date.issued2021
dc.description.abstractIn the digital transformation era, the collection of data assumes a crucial relevance. In some applications, the use of real sensors to measure the target parameters is constrained by technical or economical limitations. In such situations, it is required to use alternative techniques based on soft sensors that acquire data by estimating the measurement of a variable through the correlation of the data acquired by the neighbouring sensors. However, the co-existence of real and soft sensors requires a computational infra-structure that integrates these heterogeneous data sources and supports the synchronisation of the monitoring system based on the inputs of different measurement nodes. Multi-agent systems provide this distributed infra-structure for the data collection, ensuring modularity, scalability and reconfigurability capabilities. This paper introduces a multi-agent system approach to create a modular and scalable sensing system, based on a diversity of real and soft sensors, to support the monitoring of temperature in thin-film sensing surfaces. The proposed approach was experimentally tested in a plastic injection process, presenting promising results in terms of accuracy and response time, and allowing to obtain more sampling points through the use of computational techniques to complement the real data.pt_PT
dc.description.sponsorshipThe work reported in this paper was supported by ONSURF - Mobilizar Competências Tecnológicas em Engenharia de Superfícies, Projeto nº POCI-01-0247-FEDER-024521.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationAmaral, Fabio; Sakurada, Lucas; Leitão, Paulo; Larangeira, Jorge (2021). Multi-agent system for monitoring temperature in sensing surfaces including hard and soft sensors. In 47th Annual Conference of the IEEE Industrial Electronics Society, IECON 2021. p. 1-6. ISBN 978-1-6654-3554-3pt_PT
dc.identifier.doi10.1109/IECON48115.2021.9589045pt_PT
dc.identifier.isbn978-1-6654-3554-3
dc.identifier.urihttp://hdl.handle.net/10198/24625
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectMulti-agent systempt_PT
dc.subjectSoft sensorspt_PT
dc.subjectDistributed sensingpt_PT
dc.titleMulti-agent system for monitoring temperature in sensing surfaces including hard and soft sensorspt_PT
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.endPage6pt_PT
oaire.citation.startPage1pt_PT
person.familyNameLeitão
person.givenNamePaulo
person.identifierA-8390-2011
person.identifier.ciencia-id8316-8F13-DA71
person.identifier.orcid0000-0002-2151-7944
person.identifier.scopus-author-id35584388900
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication68d9eb25-ad4f-439b-aeb2-35e8708644cc
relation.isAuthorOfPublication.latestForDiscovery68d9eb25-ad4f-439b-aeb2-35e8708644cc

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