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 | 2017 IEEE 44th Photovoltaic Specialist Conference, PVSC 2017 |
| Publisher | Institute of Electrical and Electronics Engineers |
| Pages | 1-6 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781509056057 |
| DOIs | |
| Publication status | Published - 1 Jan 2017 |
| Externally published | Yes |
| Event | 44th IEEE Photovoltaic Specialist Conference, PVSC 2017 - Washington, United States Duration: 25 Jun 2017 → 30 Jun 2017 Conference number: 44 |
Conference
| Conference | 44th IEEE Photovoltaic Specialist Conference, PVSC 2017 |
|---|---|
| Abbreviated title | PVSC 2017 |
| Country/Territory | United States |
| City | Washington |
| Period | 25/06/17 → 30/06/17 |
Keywords
- Digital image processing (DIP)
- Image mosaicing (IM)
- Infrared (IR) image
- Operation and maintenance
- PV module
- PV power plant
- Unmanned aerial system (UAS)
