Photovoltaic panel infrared image data

Can infrared imagery be used to identify anomalies in solar PV?

In order to combat the lack of publicly available data on infrared imagery of anomalies in solar PV, this project presents a novel, labeled dataset to facilitate research to solve problems well suited for machine learning that can have environmental impact. The dataset consists of 20,000 infrared images that are 24 by 40 pixels each.

Does a thermal image indicate a fault in a PV panel?

Considering that the change of the visual image does not necessarily mean the presence of a fault in a PV panel, the thermal image of the PV panel is more favoured in the practice of PV panel condition monitoring (Kandeal et al., 2021a).

How are infrared images collected?

Infrared images are collected by the UAV equipped with infrared thermal imager, inspecting the solar panel group overhead. The proposed network combines the strengths of residual learning and U-Net. Both the Encoder and Decoder are constructed by residual units, which make the whole deep network easy to train.

What is infrared thermal imager?

The unmanned aerial vehicle (UAV) equipped with infrared thermal imager inspects the solar panel group overhead, getting infrared images of the photovoltaic plate area. The limitation of the infrared thermal imager, the flight height of UAV and other factors will result in the low-resolution photos which are hard for the human view.

What is infraredsolarmodules?

Cannot retrieve latest commit at this time. InfraredSolarModules is a machine learning dataset that contains real-world imagery of different anomalies found in solar farms. This dataset can be used for machine learning research to gain efficiencies in the solar industry. Infrared imagery is not widely available to researchers.

What is infrared thermal imaging (IRT)?

The Infrared thermal imaging (IRT) (Oliveira et al., 2020) based method assumes that the defect will disturb the heat flow in the PV panel and consequently show an abnormal temperature change in the corresponding area on the panel surface.