Patents by Inventor Yunjiang Yu

Yunjiang Yu 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: 20250094901
    Abstract: The present invention provides an electric power material distribution and allocation method based on an optimized branch and bound method, including: sorting the distribution of each batch of electric power materials to obtain a material set R; screening available vehicle data to obtain a vehicle deadweight set W and a vehicle unique identification set C; determining whether available vehicles meet requirements; and using an optimized queued branch and bound method to obtain an optimal distribution and allocation scheme. According to the present invention, scientific scheme support is provided for the distribution and allocation of the electric power materials, the scientificity of the distribution of power grid materials is improved, the influence of human factors is reduced, the utilization rate of distribution vehicles is increased, the distribution cost of the materials is reduced, and the economic benefit is improved.
    Type: Application
    Filed: November 25, 2024
    Publication date: March 20, 2025
    Inventors: Xiao ZHAO, Baokang WANG, Jiayong YANG, Yun ZHANG, Yunjiang YU, Can SUN, Cong ZHU, Honghao DAI, Tianji XU, Zixiang YAN
  • Publication number: 20240201176
    Abstract: A method for synchronous extraction and analysis of multiple trace emerging organic contaminants in hairs, and application comprises the following steps: S1, pretreatment; S2, mixing and extraction; S3, nitrogen blowing concentration and purification; and S4, low-temperature separation. A device for synchronous extraction and analysis of multiple trace emerging organic contaminants in hairs, and application comprises comprises a treatment barrel, a pedestal and a drive assembly. This method is applied to a study on long-term exposure of multiple organic contaminants in a human body. According to the present disclosure, an extraction solution extracting system is established, 5 emerging organic contaminants in hairs can be purified and analyzed by establishing a dispersion solid-phase extraction filler consisting of Na2SO4 powders and C18 powders.
    Type: Application
    Filed: June 13, 2023
    Publication date: June 20, 2024
    Applicant: SOUTH CHINA INST OF ENVIRONMENTAL SCIENCES MEE ECOLOGY AND ENVIRONMENT EMERGENCY INST OF ECOLOGY
    Inventors: Jing ZHENG, Rongfa XU, Bin TANG, Xi ZHUANG, Xiao YAN, Weikeng LUO, Yunjiang YU
  • 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
  • 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
  • Publication number: 20230040809
    Abstract: The present disclosure discloses a method for removing TBBPA in water, a microbial strain and a microbial agent, wherein the microbial strain is a domesticated Burkholderia cepacia strain, which is named Y17 with a conservation number GDMCC No. 62153. The microbial agent and the method for removing TBBPA in water with the microbial agent are that Y17 strains are colonized on the surface and pore channels of biochar, TBBPA in water is used as a carbon source, air and dissolved oxygen are used as oxygen sources, biochar provides the strains a growth microenvironment for degrading TBBPA in water, the strains are subjected to aerobic growth in water, and bio-enhanced degradation of TBBPA in water is performed by continuously degradation reaction. The removal method and the microbial strain as well as the microbial agent are high in degradation efficiency, environmental-friendly and low in cost, and can meet requirements on large-range promotion and application.
    Type: Application
    Filed: October 4, 2022
    Publication date: February 9, 2023
    Applicant: South China Institute of Environmental Science, Ministry of Ecology and Environment
    Inventors: Yunjiang Yu, Haobo Guo, Zhaofeng Chang, Xiaohui Zhu, Zijuan Zhong, Zhenchi Li, Mingdeng Xiang