Recognition Algorithm for Dust on Solar Photovoltaic Panels Based on R-CNN

The operating environment of photovoltaic (PV) power plants is complex and continuously affected by dust soiling, particularly in arid and semi-arid regions of northwest China. Dust accumulation can reduce PV system efficiency, resulting in unstable energy output. To effectively detect and monitor dust impact on PV systems, this paper proposes a dust recognition method based on image processing and machine learning. The method employs the Region Proposal Convolutional Neural Network (R-CNN) approach to extract features from onsite images and classify them using a classification layer. The results demonstrate the high accuracy of the R-CNN algorithm in dust recognition under various environmental conditions, aiding in optimizing the operation and maintenance of PV systems.