Image recognition method for frost sensing applications

Detalhes bibliográficos
Autor(a) principal: Aguiar, Martim
Data de Publicação: 2022
Outros Autores: Gaspar, Pedro Dinis, Silva, Pedro Dinho da
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.6/12115
Resumo: Frost formation in the heat exchangers of refrigeration systems is a well-documented phenomenon. This frost accumulation creates a thermally insulating barrier that can restrict, or even block, the airflow between fins, resulting in decreased efficiency and degradation of the food products. Several methods of frost detection and defrosting have been developed, although there is not an efficient mainstream method to measure and control frost formation. In previous works, the results of a small low-cost resistive sensor for frost detection were shown to be promising. This paper extends that research using computer vision to compare the results of this sensor with the frost formed on the heat exchanger, allowing for a better study of the sensor. This method allowed to trace and plot a frost formation curve of the sensor detected values.
id RCAP_fb46d4160bd4911b39588d6bb962e823
oai_identifier_str oai:ubibliorum.ubi.pt:10400.6/12115
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Image recognition method for frost sensing applicationsComputer VisionDefrostingFrost FormationFrost sensingRefrigerationFrost formation in the heat exchangers of refrigeration systems is a well-documented phenomenon. This frost accumulation creates a thermally insulating barrier that can restrict, or even block, the airflow between fins, resulting in decreased efficiency and degradation of the food products. Several methods of frost detection and defrosting have been developed, although there is not an efficient mainstream method to measure and control frost formation. In previous works, the results of a small low-cost resistive sensor for frost detection were shown to be promising. This paper extends that research using computer vision to compare the results of this sensor with the frost formed on the heat exchanger, allowing for a better study of the sensor. This method allowed to trace and plot a frost formation curve of the sensor detected values.This work has been supported by the project Centro-01-0145-FEDER000017 -EMaDeS -Energy, Materials and Sustainable Development, co-funded by the Portugal 2020 Program (PT 2020), within the Regional Operational Program of the Center (CENTRO 2020) and the EU through the European Regional Development Fund (ERDF). The authors thank the opportunity and financial support to carry on this project to Fundac¸ao para a Ci ˜ encia e ˆ Tecnologia (FCT) and R&D Unit “Centre for Mechanical and Aerospace Science and Technologies” (C-MAST), under project UIDB/00151/2020. This study is within the activities of project “PrunusPos - Optimization of processes for the storage, cold ´ conservation, active and/or intelligent packaging and food quality traceability in post-harvested fruit products”, project n. ◦ PDR2020-101-031695, Partnership n◦ 87, initiative n.◦ 175, promoted by PDR 2020 and co-funded by EAFRD within Portugal 2020.uBibliorumAguiar, MartimGaspar, Pedro DinisSilva, Pedro Dinho da2022-03-25T16:36:36Z20222022-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.6/12115eng10.1016/j.egyr.2022.01.049info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-12-15T09:54:58Zoai:ubibliorum.ubi.pt:10400.6/12115Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:51:47.414270Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Image recognition method for frost sensing applications
title Image recognition method for frost sensing applications
spellingShingle Image recognition method for frost sensing applications
Aguiar, Martim
Computer Vision
Defrosting
Frost Formation
Frost sensing
Refrigeration
title_short Image recognition method for frost sensing applications
title_full Image recognition method for frost sensing applications
title_fullStr Image recognition method for frost sensing applications
title_full_unstemmed Image recognition method for frost sensing applications
title_sort Image recognition method for frost sensing applications
author Aguiar, Martim
author_facet Aguiar, Martim
Gaspar, Pedro Dinis
Silva, Pedro Dinho da
author_role author
author2 Gaspar, Pedro Dinis
Silva, Pedro Dinho da
author2_role author
author
dc.contributor.none.fl_str_mv uBibliorum
dc.contributor.author.fl_str_mv Aguiar, Martim
Gaspar, Pedro Dinis
Silva, Pedro Dinho da
dc.subject.por.fl_str_mv Computer Vision
Defrosting
Frost Formation
Frost sensing
Refrigeration
topic Computer Vision
Defrosting
Frost Formation
Frost sensing
Refrigeration
description Frost formation in the heat exchangers of refrigeration systems is a well-documented phenomenon. This frost accumulation creates a thermally insulating barrier that can restrict, or even block, the airflow between fins, resulting in decreased efficiency and degradation of the food products. Several methods of frost detection and defrosting have been developed, although there is not an efficient mainstream method to measure and control frost formation. In previous works, the results of a small low-cost resistive sensor for frost detection were shown to be promising. This paper extends that research using computer vision to compare the results of this sensor with the frost formed on the heat exchanger, allowing for a better study of the sensor. This method allowed to trace and plot a frost formation curve of the sensor detected values.
publishDate 2022
dc.date.none.fl_str_mv 2022-03-25T16:36:36Z
2022
2022-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.6/12115
url http://hdl.handle.net/10400.6/12115
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1016/j.egyr.2022.01.049
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
_version_ 1799136406578135040

Registros relacionados