PV power plant inspection by image mosaicing techniques for IR real-time images

Mohammadreza Aghaei; Sonia Leva; Francesco Grimaccia

doi:10.1109/PVSC.2016.7750236

PV power plant inspection by image mosaicing techniques for IR real-time images

Mohammadreza Aghaei
, Sonia Leva
, Francesco Grimaccia

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

51 Citaten (Scopus)

Samenvatting

Operation and maintenance play a crucial role for the performance of PV power plants. In this experimental paper a novel approach is proposed included planning and mapping of PV power plants by digital image processing techniques. For this purpose, aerial thermovisual photography is carried out in a PV plant by a light Unmanned Aerial System (UAS) with a thermograph camera onboard. The main objective of current paper is to develop a digital image processing algorithm in order to provide an Image Mosaicing (IM) for richer description of the plant by merging many infrared (IR) images. The algorithm is able to analyze the image mosaicing (IM) in order to count total number of PV modules, defect and healthy modules in PV strings. The results have demonstrated that proposed digital image processing (DIP) algorithm is very efficient and reliable for analysis of infrared (IR) images to provide a depth perspective of PV power plants during procedure inspection.

Originele taal-2	Engels
Titel	2016 IEEE 43rd Photovoltaic Specialists Conference, PVSC 2016
Uitgeverij	Institute of Electrical and Electronics Engineers
Pagina's	3100-3105
Aantal pagina's	6
ISBN van elektronische versie	9781509027248
DOI's	https://doi.org/10.1109/PVSC.2016.7750236
Status	Gepubliceerd - 18 nov. 2016
Extern gepubliceerd	Ja
Evenement	43rd IEEE Photovoltaic Specialists Conference, PVSC 2016 - Oregon Convention Center, Portland, Verenigde Staten van Amerika Duur: 5 jun. 2016 → 10 jun. 2016 Congresnummer: 43 https://www.ieee-pvsc.org/PVSC43/

Congres

Congres	43rd IEEE Photovoltaic Specialists Conference, PVSC 2016
Verkorte titel	PVSC 2016
Land/Regio	Verenigde Staten van Amerika
Stad	Portland
Periode	5/06/16 → 10/06/16
Internet adres	https://www.ieee-pvsc.org/PVSC43/

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10.1109/PVSC.2016.7750236

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@inproceedings{a52a33d2e7364eefa2e2159a7f095317,

title = "PV power plant inspection by image mosaicing techniques for IR real-time images",

abstract = "Operation and maintenance play a crucial role for the performance of PV power plants. In this experimental paper a novel approach is proposed included planning and mapping of PV power plants by digital image processing techniques. For this purpose, aerial thermovisual photography is carried out in a PV plant by a light Unmanned Aerial System (UAS) with a thermograph camera onboard. The main objective of current paper is to develop a digital image processing algorithm in order to provide an Image Mosaicing (IM) for richer description of the plant by merging many infrared (IR) images. The algorithm is able to analyze the image mosaicing (IM) in order to count total number of PV modules, defect and healthy modules in PV strings. The results have demonstrated that proposed digital image processing (DIP) algorithm is very efficient and reliable for analysis of infrared (IR) images to provide a depth perspective of PV power plants during procedure inspection.",

keywords = "Digital image processing (DIP), Image mosaicing (IM), infrared (IR) image, Operation and maintenance, PV module, PV power plant, Unmanned aerial system (UAS)",

author = "Mohammadreza Aghaei and Sonia Leva and Francesco Grimaccia",

year = "2016",

month = nov,

day = "18",

doi = "10.1109/PVSC.2016.7750236",

language = "English",

pages = "3100--3105",

booktitle = "2016 IEEE 43rd Photovoltaic Specialists Conference, PVSC 2016",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "43rd IEEE Photovoltaic Specialists Conference, PVSC 2016, PVSC 2016 ; Conference date: 05-06-2016 Through 10-06-2016",

url = "https://www.ieee-pvsc.org/PVSC43/",

}

Aghaei, M, Leva, S & Grimaccia, F 2016, PV power plant inspection by image mosaicing techniques for IR real-time images. in 2016 IEEE 43rd Photovoltaic Specialists Conference, PVSC 2016., 7750236, Institute of Electrical and Electronics Engineers, blz. 3100-3105, 43rd IEEE Photovoltaic Specialists Conference, PVSC 2016, Portland, Oregon, Verenigde Staten van Amerika, 5/06/16. https://doi.org/10.1109/PVSC.2016.7750236

PV power plant inspection by image mosaicing techniques for IR real-time images. / Aghaei, Mohammadreza; Leva, Sonia; Grimaccia, Francesco.
2016 IEEE 43rd Photovoltaic Specialists Conference, PVSC 2016. Institute of Electrical and Electronics Engineers, 2016. blz. 3100-3105 7750236.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

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AU - Aghaei, Mohammadreza

AU - Leva, Sonia

AU - Grimaccia, Francesco

N1 - Conference code: 43

PY - 2016/11/18

Y1 - 2016/11/18

N2 - Operation and maintenance play a crucial role for the performance of PV power plants. In this experimental paper a novel approach is proposed included planning and mapping of PV power plants by digital image processing techniques. For this purpose, aerial thermovisual photography is carried out in a PV plant by a light Unmanned Aerial System (UAS) with a thermograph camera onboard. The main objective of current paper is to develop a digital image processing algorithm in order to provide an Image Mosaicing (IM) for richer description of the plant by merging many infrared (IR) images. The algorithm is able to analyze the image mosaicing (IM) in order to count total number of PV modules, defect and healthy modules in PV strings. The results have demonstrated that proposed digital image processing (DIP) algorithm is very efficient and reliable for analysis of infrared (IR) images to provide a depth perspective of PV power plants during procedure inspection.

AB - Operation and maintenance play a crucial role for the performance of PV power plants. In this experimental paper a novel approach is proposed included planning and mapping of PV power plants by digital image processing techniques. For this purpose, aerial thermovisual photography is carried out in a PV plant by a light Unmanned Aerial System (UAS) with a thermograph camera onboard. The main objective of current paper is to develop a digital image processing algorithm in order to provide an Image Mosaicing (IM) for richer description of the plant by merging many infrared (IR) images. The algorithm is able to analyze the image mosaicing (IM) in order to count total number of PV modules, defect and healthy modules in PV strings. The results have demonstrated that proposed digital image processing (DIP) algorithm is very efficient and reliable for analysis of infrared (IR) images to provide a depth perspective of PV power plants during procedure inspection.

KW - Digital image processing (DIP)

KW - Image mosaicing (IM)

KW - infrared (IR) image

KW - Operation and maintenance

KW - PV module

KW - PV power plant

KW - Unmanned aerial system (UAS)

UR - https://www.scopus.com/pages/publications/85003545098

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DO - 10.1109/PVSC.2016.7750236

M3 - Conference contribution

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BT - 2016 IEEE 43rd Photovoltaic Specialists Conference, PVSC 2016

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ER -

PV power plant inspection by image mosaicing techniques for IR real-time images

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