Patents by Inventor Qiliang GUO

Qiliang GUO 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).

  • Autonomous mining method of industrial big data based on model sets
    Patent number: 12045263
    Abstract: Disclosed is an autonomous mining method of industrial big data based on model sets, which comprises the following steps: S1, building model sets and a mining engine based on domain knowledge and structural characteristics of multi-source heterogeneous data; S2, carrying out data sampling on the multi-source heterogeneous data, and counting the fault-tolerant estimation of random error variance; S3, mining data sets by using the mining engine, and determining the optimal fault-tolerant model of each sampled data sequence and the optimal fault-tolerant estimation of model parameters; S4, performing goodness-of-fit statistics calculation and VV&A test by using the optimal fault-tolerant model; S5, acquiring data model representation and connotation knowledge based on model clustering. The method can realize the automation of the mining process of big data, the integration of associated knowledge, the expansion of model sets, the integration of mining and modeling and the optimization of mining results.
    Type: Grant
    Filed: October 13, 2022
    Date of Patent: July 23, 2024
    Assignee: Guangdong University of Petrochemical Technology
    Inventors: Shaolin Hu, Qiliang Guo, Qinghua Zhang, Guo Xie, Chenglin Wen, Wenzhuo Chen, Gaowei Lei, Ye Ke
  • AUTONOMOUS MINING METHOD OF INDUSTRIAL BIG DATA BASED ON MODEL SETS
    Publication number: 20230297597
    Abstract: Disclosed is an autonomous mining method of industrial big data based on model sets, which comprises the following steps: S1, building model sets and a mining engine based on domain knowledge and structural characteristics of multi-source heterogeneous data; S2, carrying out data sampling on the multi-source heterogeneous data, and counting the fault-tolerant estimation of random error variance; S3, mining data sets by using the mining engine, and determining the optimal fault-tolerant model of each sampled data sequence and the optimal fault-tolerant estimation of model parameters; S4, performing goodness-of-fit statistics calculation and VV&A test by using the optimal fault-tolerant model; S5, acquiring data model representation and connotation knowledge based on model clustering. The method can realize the automation of the mining process of big data, the integration of associated knowledge, the expansion of model sets, the integration of mining and modeling and the optimization of mining results.
    Type: Application
    Filed: October 13, 2022
    Publication date: September 21, 2023
    Inventors: Shaolin HU, Qiliang GUO, Qinghua ZHANG, Guo XIE, Chenglin WEN, Wenzhuo CHEN, Gaowei LEI, Ye KE