Patents by Inventor Dianhui WANG

Dianhui 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).

  • Publication number: 20240126229
    Abstract: A cooling system performance early warning method based on dictionary learning is disclosed. A sensor and an oil pump frequency converter are arranged on a cooler of the cooling system to measure operation data of the cooling system. A PLC controller is installed on the cooler to collect the measured operation data and connected with a cloud server, and the cloud server first performs offline dictionary learning on the data, so as to establish a performance cads warning model for each group of coolers respectively. After the offline dictionary learning stage is completed, an online early warning stage is entered, and the established performance early warning model is used to carry out a real-time performance early warning of the cooling system. The early warning method can use the established performance early warning model to carry out real-time performance early warning, which has the advantages of real-time, realizability and strong pertinence.
    Type: Application
    Filed: January 22, 2022
    Publication date: April 18, 2024
    Inventors: Dianhui WANG, Shirong ZHANG, Peng ZHANG, Wangyang WANG, Jie WANG, Yue FANG, Linfeng GU
  • Patent number: 11928723
    Abstract: This application relates to systems and methods for facilitating online search based on offline transaction data.
    Type: Grant
    Filed: July 29, 2021
    Date of Patent: March 12, 2024
    Assignee: Walmart Apollo, LLC
    Inventors: Yu Wang, Dianhui Zhu, Ayush Parshotam Ruchandani, Cun Mu, Ying Michelle Sun, Saumya Agarwal
  • Publication number: 20240027976
    Abstract: Provided is an industrial process soft sensor method based on a federated stochastic configuration network, including: acquiring historical industrial process auxiliary data and corresponding product quality data; finding out optimal hidden layer parameters; processing, by a central server, to obtain global parameters, and downloading same to each factory as hidden layer parameters for a local model; obtaining output weights of a current network through an optimization algorithm, and uploading same to the server for weighted aggregation; and when the number of hidden layer nodes in a current network exceeds a maximum given value or a residual in current iteration meets an expected tolerance, completing modeling to obtain the global federated stochastic configuration network without adding new nodes. The present disclosure effectively improves prediction performance of models and protects data privacy, thus meeting industrial process soft sensor requirements.
    Type: Application
    Filed: June 23, 2022
    Publication date: January 25, 2024
    Applicant: CHINA UNIVERSITY OF MINING AND TECHNOLOGY
    Inventors: Wei DAI, Lanhao WANG, Liang DONG, Mengjie HU, Guanghui WANG, Jing NAN, Langlong JI, Yanshuang AO, Dianhui WANG