Northeast Electric Power University

Guoqiang Zhu

Lingfang Sun

Xia Li

Huichao Ji

Xinlin Li

Le Ma

Guoliang Feng

Heng Piao

Chunyang Fu

Jianxin Yan

Disclosed is an infrared thermal image classification and hot spot positioning method of a photovoltaic panel, comprising following steps: constructing a photovoltaic panel infrared thermal image data set, preprocessing the image data set, and dividing into a training set and a testing set according to a preset proportion; training an auxiliary generating countermeasure network based on the training set to obtain a trained generator and a trained discriminator, training an encoder by combining the image data in the training set with the generator, and fixing the parameters of a trained encoder; inputting the image data in the test set into a trained discriminator to obtain a photovoltaic image classification result; inputting images in the test set into the trained encoder, and then inputting the images into the generator for a reconstruction; comparing pixels of the input images with the reconstructed infrared thermal images, and positioning hot spots.

Infrared thermal image classification and hot spot positioning method of photovoltaic panel

Growing community of inventors

Jilin, China

Guoqiang Zhu