Patents by Inventor Qingcun ZHU

Qingcun ZHU 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).

  • Industrial equipment operation, maintenance and optimization method and system based on complex network model
    Patent number: 11860608
    Abstract: The present invention discloses an industrial equipment operation, maintenance and optimization method and system based on a complex network model. The method includes the following steps: obtaining data of all sensors of industrial equipment, and calculating a Spearman correlation coefficient between data of every two of the sensors within the same time period; using each sensor as a node, and using the Spearman correlation coefficient as a weight of a network edge, to construct a fully connected weighted network; and obtaining, when an adjustment instruction for a target feature is received, a currently optimal parameter adjustment path of the target feature based on the fully connected weighted network. In the present invention, production equipment in reality is digitized to construct a complex network oriented to industrial big data. An optimal path for equipment parameter tuning may be found by using the network, thereby reducing dependence of an enterprise on a domain expert.
    Type: Grant
    Filed: January 3, 2020
    Date of Patent: January 2, 2024
    Assignee: QILU UNIVERSITY OF TECHNOLOGY
    Inventors: Xuesong Jiang, Chao Meng, Xiumei Wei, Qingcun Zhu, Dapeng Hu
  • INDUSTRIAL EQUIPMENT OPERATION, MAINTENANCE AND OPTIMIZATION METHOD AND SYSTEM BASED ON COMPLEX NETWORK MODEL
    Publication number: 20230152786
    Abstract: The present invention discloses an industrial equipment operation, maintenance and optimization method and system based on a complex network model. The method includes the following steps: obtaining data of all sensors of industrial equipment, and calculating a Spearman correlation coefficient between data of every two of the sensors within the same time period; using each sensor as a node, and using the Spearman correlation coefficient as a weight of a network edge, to construct a fully connected weighted network; and obtaining, when an adjustment instruction for a target feature is received, a currently optimal parameter adjustment path of the target feature based on the fully connected weighted network. In the present invention, production equipment in reality is digitized to construct a complex network oriented to industrial big data. An optimal path for equipment parameter tuning may be found by using the network, thereby reducing dependence of an enterprise on a domain expert.
    Type: Application
    Filed: January 3, 2020
    Publication date: May 18, 2023
    Applicant: QILU UNIVERSITY OF TECHNOLOGY
    Inventors: Xuesong JIANG, Chao MENG, Xiumei WEI, Qingcun ZHU, Dapeng HU