Patents by Inventor Wanyi Wang

Wanyi Wang 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).

  • Patent number: 11820947
    Abstract: The present invention discloses a method of reducing octane loss in catalytic cracking of gasoline in S-Zorb plant. The method comprises following steps: a. Collecting equipment data and adjusting differences thereamong to construct initial data sample set; b. Collating data sample set; c. Employing local linear embedding to reduce dimension of independent variables, and trimming the independent variables to obtain reserved independent variables; d. Calculating correlation coefficients of the reserved independent variables and removing variables with too high correlation coefficients to obtain main variables; e. Constructing a BP neural network model of the main variables to obtain optimal octane loss prediction model; f. Employing the optimal octane loss prediction model to obtain a predicted optimal operating condition for each main variable. The present invention has advantage of reducing octane loss and improving quality of refined oil.
    Type: Grant
    Filed: September 29, 2021
    Date of Patent: November 21, 2023
    Inventors: Ji Guo, Yujia Lou, Wanyi Wang, Xianhua Wu, Bangping Gu
  • Publication number: 20220281997
    Abstract: The invention provides a group of anti-VHH domain antibodies and use thereof. The present invention further provides use of the described antibodies in the development, screening and purification of nano-antibodies, and use of the described antibodies in the field of immunotherapy.
    Type: Application
    Filed: September 27, 2020
    Publication date: September 8, 2022
    Inventors: Xijian Qin, Liwei Sun, Wanyi Wang, Guangwei Song
  • Publication number: 20220235279
    Abstract: The present invention discloses a method of reducing octane loss in catalytic cracking of gasoline in S-Zorb plant. The method comprises following steps: a. Collecting equipment data and adjusting differences thereamong to construct initial data sample set; b. Collating data sample set; c. Employing local linear s embedding to reduce dimension of independent variables, and trimming the independent variables to obtain reserved independent variables; d. Calculating correlation coefficients of the reserved independent variables and removing variables with too high correlation coefficients to obtain main variables; e. Constructing a BP neural network model of the main variables to obtain optimal octane loss prediction model; f. Employing the optimal octane loss prediction model to obtain a predicted optimal operating condition for each main variable. The present invention is different from traditional chemical mechanism method at aspect of building FCC technology process.
    Type: Application
    Filed: September 29, 2021
    Publication date: July 28, 2022
    Inventors: Ji Guo, Yujia Lou, Wanyi Wang, Xianhua Wu, Bangping Gu