Abstract: A preparation method of kaolin includes the following steps: S1, dispersing specified masses of a crude kaolin ore and a dispersing agent evenly in deionized water, mashing into a slurry, and allowing the slurry to stand for a specified time; and collecting a slurry supernatant, and subjecting the slurry supernatant to centrifugal classification and drying to produce a first dried product for later use; S2, subjecting the first dried product to a reaction with an acid solution, and conducting centrifugal washing and drying to produce a second dried product; and S3, mixing the second dried product with a flocculating agent having a specified concentration, and conducting low-speed stirring at a specified temperature to allow a reaction for a specified time; removing an upper supernatant liquid; and subjecting a lower flocculent precipitate to centrifugal classification and drying to produce high-purity kaolin. A high-purity kaolin with a purity of 98.9% is prepared.

Abstract: 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.