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.
| Original language | English |
|---|---|
| Title of host publication | 2016 IEEE 43rd Photovoltaic Specialists Conference, PVSC 2016 |
| Publisher | Institute of Electrical and Electronics Engineers |
| Pages | 3100-3105 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781509027248 |
| DOIs | |
| Publication status | Published - 18 Nov 2016 |
| Externally published | Yes |
| Event | 43rd IEEE Photovoltaic Specialists Conference, PVSC 2016 - Oregon Convention Center, Portland, United States Duration: 5 Jun 2016 → 10 Jun 2016 Conference number: 43 https://www.ieee-pvsc.org/PVSC43/ |
Conference
| Conference | 43rd IEEE Photovoltaic Specialists Conference, PVSC 2016 |
|---|---|
| Abbreviated title | PVSC 2016 |
| Country/Territory | United States |
| City | Portland |
| Period | 5/06/16 → 10/06/16 |
| Internet address |
Keywords
- Digital image processing (DIP)
- Image mosaicing (IM)
- infrared (IR) image
- Operation and maintenance
- PV module
- PV power plant
- Unmanned aerial system (UAS)