Aerial PV Inspections
Intestazione e Foto
We develop systems of PV inspections with drones and computer vision
Descrizione e Offerta
Aerial PV Inspections
Our solution
A common problem for those who manage a photovoltaic system (from 3kw up to tens or hundreds of megawats) is the loss of production deriving from anomalies on the single cells that compose the photovoltaic panels, such as grime, shadow, cell defects, defective strings, PID and more
These anomalies are characterized by a cells malfunction and their overheating (hot spots) that are detectable with a few minutes fly of our drones equipped with special thermal sensors
Software systems for thermal image processing allow to estimate a range of potential cause of energy loss due to hot spots and to organize the historical data, relating to all previous inspections, in a structured and easily accessible way
Read White Paper
Aerial PV inspection
- Photovoltaic system images
- Photovoltaic system thermography (GSD up to 2.5 (+ -15%) cm / pixel)
- Hotspot Localization
- Estimation of the impact on production
- Pdf and Word format reports
- Additional detailed images in higher resolution (0.5 (+ -15%) cm / pixel) of the single modules with thermal anomalies that have been detected from the first mission (GSD 2.5 (+ -15%) cm / pixel)
- Cloud: the clients have the possibility to send online comments to the reports and availability of data and statistics / trends
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Caratteristiche
Main advantages of using our inspection method
Thermal and visual
images
Thermal and visual Images of the whole plant with Thermal resolution GSD 2,5 (+ -15%) cm / pixel
Anomalies
found
Thermal and visual detailed images with resolution GSD 0.5 (+ -15%) cm / pixel, for modules with thermal anomalies
Data and reports
in Cloud
Online data and reports accessible in cloud format. PDF and WORD format reports
Real-time
statistics
Online statistics updated in real time. You can evaluate the performance of your inspection team by the progress status of each inspection
Management of
anomalies
Mapping with anomalies localization and possibility of comments on the anomalies found
Data Export
and API
Data available in CSV format or via API. Transcoding of component names to adapt to customer db
Informazioni
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