Patents by Inventor Guoliang Feng

Guoliang Feng has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20230407437
    Abstract: A method and an equipment for comprehensive utilization of niobite is disclosed. The method includes the following steps: S1. adding and uniformly mixing a coal-based reducing agent to the niobite, and subsequently reducing the mixture in a reduction furnace to obtain the selective reduction product; S2. adding the selective reduction product to a super-gravity reactor where the ambient temperature is controlled to be lower than the temperature at which the niobium oxide is reduced; driven by super-gravity, reverse migrating and collecting the metal iron and the niobium-rich slag at different locations in the reactor; discharging the metallic iron tightly attached to the wall of the reactor through an iron discharging port, and discharging the niobium-rich slag enriched to the inner layer of the reactor through a slag discharging port, so that the separation of the metallic iron and the niobium-rich slag is realized in the super-gravity field.
    Type: Application
    Filed: December 5, 2022
    Publication date: December 21, 2023
    Inventors: Xi LAN, Zhancheng GUO, Jintao GAO, Zengwu WANG, Guoliang FENG, Xiang LI, Rong YUAN
  • Patent number: 11631237
    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.
    Type: Grant
    Filed: October 13, 2022
    Date of Patent: April 18, 2023
    Assignee: NORTHEAST ELECTRIC POWER UNIVERSITY
    Inventors: Lingfang Sun, Guoqiang Zhu, Xinlin Li, Jianxin Yan, Le Ma, Xia Li, Guoliang Feng, Chunyang Fu, Huichao Ji, Heng Piao