Patents by Inventor Wanxin YIN

Wanxin YIN 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).

  • Control method based on adaptive neural network model for dissolved oxygen of aeration system
    Patent number: 11709463
    Abstract: A control method based on an adaptive neural network model for dissolved oxygen of an aeration system includes: obtaining related water quality monitoring data of a sewage treatment plant, and performing data preprocessing on the related water quality monitoring data; performing principal component analysis on the preprocessed related water quality monitoring data and a dissolved oxygen concentration of the aeration system through a principal component analysis method, and determining a water quality parameter with a highest rate of contribution to a principal component; taking the water quality parameter with the highest rate of contribution to the principal component, and predicting a dissolved oxygen concentration of the aeration system; and optimizing a dissolved oxygen predictive value obtained by means of the adaptive neural network model to obtain an optimal regulation value, and performing online regulation on a fuzzy control system of the adaptive neural network model.
    Type: Grant
    Filed: October 27, 2022
    Date of Patent: July 25, 2023
    Assignees: Yancheng Institute Of Technology, YCIT Technology Transfer Center Co., Ltd.
    Inventors: Ye Yuan, Linfeng Chen, Cheng Ding, Aijie Wang, Tianming Chen, Yunjiang Yu, Wanxin Yin
  • CONTROL METHOD BASED ON ADAPTIVE NEURAL NETWORK MODEL FOR DISSOLVED OXYGEN OF AERATION SYSTEM
    Publication number: 20230047297
    Abstract: A control method based on an adaptive neural network model for dissolved oxygen of an aeration system includes: obtaining related water quality monitoring data of a sewage treatment plant, and performing data preprocessing on the related water quality monitoring data; performing principal component analysis on the preprocessed related water quality monitoring data and a dissolved oxygen concentration of the aeration system through a principal component analysis method, and determining a water quality parameter with a highest rate of contribution to a principal component; taking the water quality parameter with the highest rate of contribution to the principal component, and predicting a dissolved oxygen concentration of the aeration system; and optimizing a dissolved oxygen predictive value obtained by means of the adaptive neural network model to obtain an optimal regulation value, and performing online regulation on a fuzzy control system of the adaptive neural network model.
    Type: Application
    Filed: October 27, 2022
    Publication date: February 16, 2023
    Inventors: Ye YUAN, Linfeng CHEN, Cheng DING, Aijie WANG, Tianming CHEN, Yunjiang YU, Wanxin YIN