Patents by Inventor Weixiao He

Weixiao He 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: 11775704
    Abstract: The present invention discloses an optimization design method for structural parameters of biomass boiler economizers and belongs to the field of big data learning models. In the present invention, a sample database is established by utilizing historical operating big data of biomass boiler economizers, a heat exchanger residual self-attention convolution model is established based on a CNN and a self-attention mechanism, a plurality of target parameters to be optimized are quickly predicted through machine learning, and multi-target optimization of structural parameters to be optimized in the economizers can be performed in combination with an iterative optimization algorithm.
    Type: Grant
    Filed: December 2, 2022
    Date of Patent: October 3, 2023
    Assignees: ZHEJIANG UNIVERSITY, XIZI CLEAN ENERGY EQUIPMENT MANUFACTURING CO., LTD.
    Inventors: Shuiguang Tong, Zheming Tong, Jianyun Zhao, Weixiao He, Haidan Wang, Wei Chen
  • Publication number: 20230237211
    Abstract: The present invention discloses an optimization design method for structural parameters of biomass boiler economizers and belongs to the field of big data learning models. In the present invention, a sample database is established by utilizing historical operating big data of biomass boiler economizers, a heat exchanger residual self-attention convolution model is established based on a CNN and a self-attention mechanism, a plurality of target parameters to be optimized are quickly predicted through machine learning, and multi-target optimization of structural parameters to be optimized in the economizers can be performed in combination with an iterative optimization algorithm.
    Type: Application
    Filed: December 2, 2022
    Publication date: July 27, 2023
    Inventors: Shuiguang TONG, Zheming TONG, Jianyun ZHAO, Weixiao HE, Haidan WANG, Wei CHEN