公开(公告)号：US11631237B1

公开(公告)日：2023-04-18

申请号：US17965355

申请日：2022-10-13

申请人： Northeast Electric Power University

发明人： Lingfang Sun ,  Guoqiang Zhu ,  Xinlin Li ,  Jianxin Yan ,  Le Ma ,  Xia Li ,  Guoliang Feng ,  Chunyang Fu ,  Huichao Ji ,  Heng Piao

IPC分类号： G06V10/764 ,  G06V20/60

摘要： 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.