Smart sensing of systems thermal behavior using low cost infrared cameras

Autores
Monte, Gustavo Eduardo; Marasco, Damian; Bufanio, Rubèn; Solorzano, Lucas
Año de publicación
2019
Idioma
inglés
Tipo de recurso
artículo
Estado
versión aceptada
Descripción
Diagnosis through the analysis of thermal images is widely used and is one of the favorite tools of predictive maintenance. Due to the high cost of infrared cameras, this analysis is carried out through periodic manual inspections reusing the sensor element for several applications. The recent appearance of low-cost infrared cameras has enabled the development of static applications that observe and analyze the thermal behavior of critical systems over time. This work presents a proposal of an intelligent thermal sensor that acquires and processes low resolution images in real time with energy restrictions. The proposed thermal image processing is based on the analysis of local maxima and spatial and temporal gradients centered on these maxima. The standard IEEE 21451-001-2017 was applied used for signal processing. The image acquisition and processing are executed into a 16-bit microcontroller resulting in a compact thermal sensor with low cost and low power consumption and with the ability to understand and classify the thermal evolution of the observed system.
Fil: Monte, Gustavo Eduardo. Universidad Tecnológica Nacional. Facultad Regional del Neuquèn; Argentina.
Fil: Marasco, Damiàn. Universidad Tecnológica Nacional. Facultad Regional del Neuquèn; Argentina.
Fil: Bufanio, Rubèn. Universidad Tecnológica Nacional. Facultad Regional del Neuquèn; Argentina.
Fil: Solórzano, Lucas. Universidad Tecnológica Nacional. Facultad Regional del Neuquén; Argentina
Peer Reviewed
Materia
infrared cameras; microcontrollers; real time; thermography; thermal image processing; low cost, low power.
Nivel de accesibilidad
acceso abierto
Condiciones de uso
2023-12-04T22:59:30Z
Repositorio
Repositorio Institucional Abierto (UTN)
Institución
Universidad Tecnológica Nacional
OAI Identificador
oai:ria.utn.edu.ar:20.500.12272/9047
Acceder
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spelling Smart sensing of systems thermal behavior using low cost infrared camerasMonte, Gustavo EduardoMarasco, DamianBufanio, RubènSolorzano, Lucasinfrared cameras; microcontrollers; real time; thermography; thermal image processing; low cost, low power.Diagnosis through the analysis of thermal images is widely used and is one of the favorite tools of predictive maintenance. Due to the high cost of infrared cameras, this analysis is carried out through periodic manual inspections reusing the sensor element for several applications. The recent appearance of low-cost infrared cameras has enabled the development of static applications that observe and analyze the thermal behavior of critical systems over time. This work presents a proposal of an intelligent thermal sensor that acquires and processes low resolution images in real time with energy restrictions. The proposed thermal image processing is based on the analysis of local maxima and spatial and temporal gradients centered on these maxima. The standard IEEE 21451-001-2017 was applied used for signal processing. The image acquisition and processing are executed into a 16-bit microcontroller resulting in a compact thermal sensor with low cost and low power consumption and with the ability to understand and classify the thermal evolution of the observed system.Fil: Monte, Gustavo Eduardo. Universidad Tecnológica Nacional. Facultad Regional del Neuquèn; Argentina.Fil: Marasco, Damiàn. Universidad Tecnológica Nacional. Facultad Regional del Neuquèn; Argentina.Fil: Bufanio, Rubèn. Universidad Tecnológica Nacional. Facultad Regional del Neuquèn; Argentina.Fil: Solórzano, Lucas. Universidad Tecnológica Nacional. Facultad Regional del Neuquén; ArgentinaPeer Reviewed2023-12-04T22:59:30Z2023-12-04T22:59:30Z2019-12-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articulopdfapplication/pdf978-1-7281-4878-62577-1647http://hdl.handle.net/20.500.12272/9047enginfo:eu-repo/semantics/openAccess2023-12-04T22:59:30ZCreative Commosreponame:Repositorio Institucional Abierto (UTN)instname:Universidad Tecnológica Nacional2026-10-01T11:57:13Zoai:ria.utn.edu.ar:20.500.12272/9047instacron:UTNInstitucionalhttp://ria.utn.edu.ar/Universidad públicaNo correspondehttp://ria.utn.edu.ar/oaigestionria@rec.utn.edu.ar; fsuarez@rec.utn.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:a2026-10-01 11:57:14.929Repositorio Institucional Abierto (UTN) - Universidad Tecnológica Nacionalfalse
dc.title.none.fl_str_mv Smart sensing of systems thermal behavior using low cost infrared cameras
title Smart sensing of systems thermal behavior using low cost infrared cameras
spellingShingle Smart sensing of systems thermal behavior using low cost infrared cameras
Monte, Gustavo Eduardo
infrared cameras; microcontrollers; real time; thermography; thermal image processing; low cost, low power.
title_short Smart sensing of systems thermal behavior using low cost infrared cameras
title_full Smart sensing of systems thermal behavior using low cost infrared cameras
title_fullStr Smart sensing of systems thermal behavior using low cost infrared cameras
title_full_unstemmed Smart sensing of systems thermal behavior using low cost infrared cameras
title_sort Smart sensing of systems thermal behavior using low cost infrared cameras
dc.creator.none.fl_str_mv Monte, Gustavo Eduardo
Marasco, Damian
Bufanio, Rubèn
Solorzano, Lucas
author Monte, Gustavo Eduardo
author_facet Monte, Gustavo Eduardo
Marasco, Damian
Bufanio, Rubèn
Solorzano, Lucas
author_role author
author2 Marasco, Damian
Bufanio, Rubèn
Solorzano, Lucas
author2_role author
author
author
dc.subject.none.fl_str_mv infrared cameras; microcontrollers; real time; thermography; thermal image processing; low cost, low power.
topic infrared cameras; microcontrollers; real time; thermography; thermal image processing; low cost, low power.
dc.description.none.fl_txt_mv Diagnosis through the analysis of thermal images is widely used and is one of the favorite tools of predictive maintenance. Due to the high cost of infrared cameras, this analysis is carried out through periodic manual inspections reusing the sensor element for several applications. The recent appearance of low-cost infrared cameras has enabled the development of static applications that observe and analyze the thermal behavior of critical systems over time. This work presents a proposal of an intelligent thermal sensor that acquires and processes low resolution images in real time with energy restrictions. The proposed thermal image processing is based on the analysis of local maxima and spatial and temporal gradients centered on these maxima. The standard IEEE 21451-001-2017 was applied used for signal processing. The image acquisition and processing are executed into a 16-bit microcontroller resulting in a compact thermal sensor with low cost and low power consumption and with the ability to understand and classify the thermal evolution of the observed system.
Fil: Monte, Gustavo Eduardo. Universidad Tecnológica Nacional. Facultad Regional del Neuquèn; Argentina.
Fil: Marasco, Damiàn. Universidad Tecnológica Nacional. Facultad Regional del Neuquèn; Argentina.
Fil: Bufanio, Rubèn. Universidad Tecnológica Nacional. Facultad Regional del Neuquèn; Argentina.
Fil: Solórzano, Lucas. Universidad Tecnológica Nacional. Facultad Regional del Neuquén; Argentina
Peer Reviewed
description Diagnosis through the analysis of thermal images is widely used and is one of the favorite tools of predictive maintenance. Due to the high cost of infrared cameras, this analysis is carried out through periodic manual inspections reusing the sensor element for several applications. The recent appearance of low-cost infrared cameras has enabled the development of static applications that observe and analyze the thermal behavior of critical systems over time. This work presents a proposal of an intelligent thermal sensor that acquires and processes low resolution images in real time with energy restrictions. The proposed thermal image processing is based on the analysis of local maxima and spatial and temporal gradients centered on these maxima. The standard IEEE 21451-001-2017 was applied used for signal processing. The image acquisition and processing are executed into a 16-bit microcontroller resulting in a compact thermal sensor with low cost and low power consumption and with the ability to understand and classify the thermal evolution of the observed system.
publishDate 2019
dc.date.none.fl_str_mv 2019-12-09
2023-12-04T22:59:30Z
2023-12-04T22:59:30Z
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv 978-1-7281-4878-6
2577-1647
http://hdl.handle.net/20.500.12272/9047
identifier_str_mv 978-1-7281-4878-6
2577-1647
url http://hdl.handle.net/20.500.12272/9047
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
2023-12-04T22:59:30Z
Creative Commos
eu_rights_str_mv openAccess
rights_invalid_str_mv 2023-12-04T22:59:30Z
Creative Commos
dc.format.none.fl_str_mv pdf
application/pdf
dc.source.none.fl_str_mv reponame:Repositorio Institucional Abierto (UTN)
instname:Universidad Tecnológica Nacional
reponame_str Repositorio Institucional Abierto (UTN)
collection Repositorio Institucional Abierto (UTN)
instname_str Universidad Tecnológica Nacional
repository.name.fl_str_mv Repositorio Institucional Abierto (UTN) - Universidad Tecnológica Nacional
repository.mail.fl_str_mv gestionria@rec.utn.edu.ar; fsuarez@rec.utn.edu.ar
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score 13.365483

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