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dc.contributor.authorKrejčí, Jakub
dc.contributor.authorBabiuch, Marek
dc.contributor.authorBabjak, Ján
dc.contributor.authorSuder, Jiří
dc.contributor.authorWierbica, Rostislav
dc.date.accessioned2023-11-09T14:41:48Z
dc.date.available2023-11-09T14:41:48Z
dc.date.issued2023
dc.identifier.citationMicromachines. 2023, vol. 14, issue 1, art. no. 113.cs
dc.identifier.issn2072-666X
dc.identifier.urihttp://hdl.handle.net/10084/151485
dc.description.abstractThe article describes the use of embedded systems in the Industrial Internet of Things and its benefits for industrial robots. For this purpose, the article presents a case study, which deals with an embedded system using an advanced microcontroller designed to be placed directly on the robot. The proposed system is being used to collect information about industrial robot parameters that impact its behavior and its long-term condition. The device measures the robot’s surroundings parameters and its vibrations while working. Besides that, it also has an enormous potential to collect other parameters such as air pollution or humidity. The collected data are stored on the cloud platform and processed and analysed. The embedded system proposed in this article is conceived to be small and mobile, as it is a wireless system that can be easily applied to any industrial robot.cs
dc.language.isoencs
dc.publisherMDPIcs
dc.relation.ispartofseriesMicromachinescs
dc.relation.urihttps://doi.org/10.3390/mi14010113cs
dc.rights© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectInternet of Thingscs
dc.subjectInternet of Robotic Thingscs
dc.subjectsmart sensorscs
dc.subjectembedded systemscs
dc.subjectMQTTcs
dc.subjectESP32cs
dc.subjectmicrocontrollercs
dc.subjectNiclacs
dc.subjectThingworxcs
dc.titleImplementation of an embedded system into the Internet of Robotic Thingscs
dc.typearticlecs
dc.identifier.doi10.3390/mi14010113
dc.rights.accessopenAccesscs
dc.type.versionpublishedVersioncs
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume14cs
dc.description.issue1cs
dc.description.firstpageart. no. 113cs
dc.identifier.wos000918648100001


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© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
Except where otherwise noted, this item's license is described as © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.