Architectures for Industrial AIoT Applications
dc.contributor.author | Villar, Eneko | |
dc.contributor.author | Martín Toral, Imanol | |
dc.contributor.author | Calvo Gordillo, Isidro | |
dc.contributor.author | Barambones, Oscar | |
dc.contributor.author | Fernández Bustamante, Pablo | |
dc.date.accessioned | 2024-08-28T07:16:46Z | |
dc.date.available | 2024-08-28T07:16:46Z | |
dc.date.issued | 2024-07-30 | |
dc.identifier.citation | Sensors 24(15) : (2024) // Article ID 4929 | es_ES |
dc.identifier.issn | 1424-8220 | |
dc.identifier.uri | http://hdl.handle.net/10810/69332 | |
dc.description.abstract | Industry 4.0 introduced new concepts, technologies, and paradigms, such as Cyber Physical Systems (CPSs), Industrial Internet of Things (IIoT) and, more recently, Artificial Intelligence of Things (AIoT). These paradigms ease the creation of complex systems by integrating heterogeneous devices. As a result, the structure of the production systems is changing completely. In this scenario, the adoption of reference architectures based on standards may guide designers and developers to create complex AIoT applications. This article surveys the main reference architectures available for industrial AIoT applications, analyzing their key characteristics, objectives, and benefits; it also presents some use cases that may help designers create new applications. The main goal of this review is to help engineers identify the alternative that best suits every application. The authors conclude that existing reference architectures are a necessary tool for standardizing AIoT applications, since they may guide developers in the process of developing new applications. However, the use of reference architectures in real AIoT industrial applications is still incipient, so more development effort is needed in order for it to be widely adopted. | es_ES |
dc.description.sponsorship | The authors wish to express their gratitude to the Basque Government through the project EKOHEGAZ II (ELKARTEK KK-2023/00051), to the Diputacion Foral de Alava (DFA) through the project CONAVANTER, to the UPV/EHU through the project GIU23/002, and to the MobilityLab Foundation (CONV23/14, CONV23/12) for supporting this work. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | MDPI | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/es/ | |
dc.subject | artificial intelligence of things (AIoT) | es_ES |
dc.subject | reference architectures | es_ES |
dc.subject | industrial applications | es_ES |
dc.subject | Edge/Fog/Cloud Computing | es_ES |
dc.subject | IoT | es_ES |
dc.subject | artificial intelligence | es_ES |
dc.title | Architectures for Industrial AIoT Applications | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.date.updated | 2024-08-09T13:04:57Z | |
dc.rights.holder | © 2024 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 (https://creativecommons.org/licenses/by/ 4.0/). | es_ES |
dc.relation.publisherversion | https://www.mdpi.com/1424-8220/24/15/4929 | es_ES |
dc.identifier.doi | 10.3390/s24154929 | |
dc.departamentoes | Ingeniería de sistemas y automática | |
dc.departamentoes | Ingeniería eléctrica | |
dc.departamentoeu | Sistemen ingeniaritza eta automatika | |
dc.departamentoeu | Ingeniaritza elektrikoa |
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Except where otherwise noted, this item's license is described as © 2024 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 (https://creativecommons.org/licenses/by/ 4.0/).