Image recognition method for frost sensing applications

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...

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Main Authors: Martim Aguiar, Pedro Dinis Gaspar, Pedro Dinho da Silva
Format: Article
Language:English
Published: Elsevier 2022-06-01
Series:Energy Reports
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S235248472200049X
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author Martim Aguiar
Pedro Dinis Gaspar
Pedro Dinho da Silva
author_facet Martim Aguiar
Pedro Dinis Gaspar
Pedro Dinho da Silva
author_sort Martim Aguiar
collection DOAJ
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.
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spelling doaj.art-eb522b84e98e45ef99b13623d5a4e5872022-12-22T03:01:44ZengElsevierEnergy Reports2352-48472022-06-018234240Image recognition method for frost sensing applicationsMartim Aguiar0Pedro Dinis Gaspar1Pedro Dinho da Silva2C-MAST, Center for Mechanical and Aerospace Science and Technologies, Faculty of Engineering, University of Beira Interior, Calçada Fonte do Lameiro, 6201-001 Covilhã, PortugalCorresponding author.; C-MAST, Center for Mechanical and Aerospace Science and Technologies, Faculty of Engineering, University of Beira Interior, Calçada Fonte do Lameiro, 6201-001 Covilhã, PortugalC-MAST, Center for Mechanical and Aerospace Science and Technologies, Faculty of Engineering, University of Beira Interior, Calçada Fonte do Lameiro, 6201-001 Covilhã, PortugalFrost 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.http://www.sciencedirect.com/science/article/pii/S235248472200049XComputer visionDefrostingFrost formationFrost sensingRefrigeration
spellingShingle Martim Aguiar
Pedro Dinis Gaspar
Pedro Dinho da Silva
Image recognition method for frost sensing applications
Energy Reports
Computer vision
Defrosting
Frost formation
Frost sensing
Refrigeration
title 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_short Image recognition method for frost sensing applications
title_sort image recognition method for frost sensing applications
topic Computer vision
Defrosting
Frost formation
Frost sensing
Refrigeration
url http://www.sciencedirect.com/science/article/pii/S235248472200049X
work_keys_str_mv AT martimaguiar imagerecognitionmethodforfrostsensingapplications
AT pedrodinisgaspar imagerecognitionmethodforfrostsensingapplications
AT pedrodinhodasilva imagerecognitionmethodforfrostsensingapplications