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Towards distance teaching: a remote laboratory approach for modbus and IoT experiencing

2021Conference paper Restricted access
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dc.contributor.authorCarvalho, José Augusto
dc.contributor.authorMendes, Andre C.
dc.contributor.authorBrito, Thadeu
dc.contributor.authorLima, José
dc.date.accessioned2022-04-05T08:32:06Z
dc.date.available2022-04-05T08:32:06Z
dc.date.issued2021
dc.description.abstractRemote laboratories are of extraordinary importance for students that cannot attend classroom lessons. Once Automation and industrial networks are topics of electrical engineering that should be studied and experimented with by students in a practical way, this paper presents a developed tool that students can use to access the laboratory equipment from outside. It has as an advantage the capacity of handling several students simultaneously, and it is accessible 24 h per day and 7 days per week. The proposed tool also allows students in the classroom to interact with the system. With this proposed tool, connections between Programmable Logic Controllers (PLC) with supervision and control of high-level systems such as LabVIEW IDE are possible to program and test. The hardware implementation in the laboratory can be accessed by students to control illumination, heating and window shutter, and sensors to acquire wind speed, temperature, humidity, and CO2, as examples.pt_PT
dc.description.sponsorshipThis work has been supported by FCT - Fundação para a Ciência e Tecnologia within the Project Scope: UIDB/05757/2020pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationCarvalho, José; Mendes, André; Brito, Thadeu; Lima, José (2021). Towards distance teaching: a remote laboratory approach for modbus and IoT experiencing. In Pereira, Ana I.; Fernandes, Florbela P.; Coelho, João Paulo; Teixeira, João Paulo; Pacheco, Maria F.; Alves, Paulo; Lopes, Rui Pedro (Eds.) Optimization, learning algorithms and applications: first International Conference, OL2A 2021. Cham: Springer Nature. p. 294-308. ISBN 978-3-030-91884-2pt_PT
dc.identifier.doi10.1007/978-3-030-91885-9_50pt_PT
dc.identifier.isbn978-3-030-91884-2
dc.identifier.urihttp://hdl.handle.net/10198/25332
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.subjectRemote laboratorypt_PT
dc.subjectIoTpt_PT
dc.subjectModbuspt_PT
dc.subjectLabVIEWpt_PT
dc.titleTowards distance teaching: a remote laboratory approach for modbus and IoT experiencingpt_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.endPage677pt_PT
oaire.citation.startPage670pt_PT
oaire.citation.titleOptimization, learning algorithms and applications: first International Conference, OL2A 2021pt_PT
oaire.citation.volume1488pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameCarvalho
person.familyNameMendes
person.familyNameBrito
person.familyNameLima
person.givenNameJosé Augusto
person.givenNameAndre C.
person.givenNameThadeu
person.givenNameJosé
person.identifierBjSISEAAAAAJ
person.identifierR-000-8GD
person.identifier.ciencia-id1319-7B8B-4901
person.identifier.ciencia-id6718-7AE9-0953
person.identifier.ciencia-idC911-A95D-712F
person.identifier.ciencia-id6016-C902-86A9
person.identifier.orcid0000-0002-6074-8112
person.identifier.orcid0000-0001-6390-1250
person.identifier.orcid0000-0002-5962-0517
person.identifier.orcid0000-0001-7902-1207
person.identifier.ridL-3370-2014
person.identifier.scopus-author-id27168377100
person.identifier.scopus-author-id54920397900
person.identifier.scopus-author-id57200694948
person.identifier.scopus-author-id55851941311
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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