Patents by Inventor Donglian QI

Donglian QI 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).

  • Patent number: 11790516
    Abstract: A method and a system for monitoring GIS instrument sulfur hexafluoride data based on edge computing are provided. The method includes the following specific steps: acquiring an instrument image; preprocessing the instrument image based on a generative adversarial network to obtain a first image; establishing a keypoint detection model to perform instrument reading on the first image to obtain reading data; and sending the reading data to a power supply system scheduling background, storing the data and performing early warning operation according to the reading data.
    Type: Grant
    Filed: May 15, 2023
    Date of Patent: October 17, 2023
    Assignee: HANGZHOU YUANJIAN INFORMATION TECHNOLOGY CO., LTD
    Inventors: Donglian Qi, Yunfeng Yan
  • Publication number: 20230214634
    Abstract: A spiking neural network acceleration method includes constructing an approximate computation model according to a spiking neuron model and a spiking coding mode. The approximate computation model utilizes the characteristic that spiking frequency domain coding ignores the time semantics of a spiking sequence, compresses the distribution of spiking signals on a time step, and greatly reduces a spiking routing process and a subsequent neural computation process. The time-driven accelerator replans the computation process of the spiking neural network, sets a deduplication queue and a bitmap to solve the problem of spiking jitter, and realizes efficient support on the inhibitory spiking neural network.
    Type: Application
    Filed: August 1, 2022
    Publication date: July 6, 2023
    Applicant: Electric Power Research Institute of State Grid Zhejiang Electric Power Co., LTD
    Inventors: Rui HAN, Donglian QI, Yunfeng YAN, Chi ZHANG, Yiming ZHENG, Wang LUO, Ping QIAN, Yong ZHANG, Zheren DAI, Jun CHEN, Chao WANG, Lei GONG, Huarong XU
  • Publication number: 20220375100
    Abstract: A method for segmenting a power line image in real time based on self-supervised learning includes: inputting an input power line sample image and power line sample image mask set for the same batch of images into a region growing algorithm to obtain a single power line sub-image and single power line mask set; randomly extracting at least one single power line image pair for combination, and combining the single power line image pair with a random background picture to generate a power line random background fusion image and power line random background mask set; and carrying out random non-repetitive region growing to obtain image inpainting regions, forming a segmentation mask with the image inpainting regions, obtaining power line segmentation images through an image inpainting algorithm, inputting the power line segmentation images into a power line real-time segmentation network for training, and carrying out predicted segmentation.
    Type: Application
    Filed: May 20, 2022
    Publication date: November 24, 2022
    Applicant: Zhejiang University
    Inventors: Donglian QI, Yunfeng YAN, Meilin CHEN
  • Patent number: 11502631
    Abstract: The present disclosure disclose a vector flux weakening control system for a permanent magnet synchronous motor of an electric drive system, which includes a current closed-loop regulation module, a modulation index deviation calculation module, a current characteristic point setting module, a current compensation vector angle calculation module, a current compensation vector amplitude calculation module, a current compensation vector calculation module and a current instruction correction module.
    Type: Grant
    Filed: June 16, 2021
    Date of Patent: November 15, 2022
    Assignee: ZHEJIANG UNIVERSITY
    Inventors: Miao Yu, Lingxia Lu, Donglian Qi
  • Publication number: 20220342435
    Abstract: A simulation method of distributed collaborative control for a microgrid under the attack of false data injection based on cyber-physical fusion is provided, which includes: establishing a distributed collaborative control simulation model for the microgrid frequency based on an RT_LAB real-time simulation tool OPAL-RT; designing a distributed collaborative control algorithm of a microgrid under the attack of false data injection based on DSP; simulating real-time communication among distributed generations based on an OPNET; simulating constant injection of false data, to realize that the frequency of each distributed generation in the microgrid is finally strictly tracked to the reference frequency. According to the method provided by the present application, no extra state observer is needed to observe the angular frequency states of local and neighboring nodes, so that the adverse effects caused by the attack of false data with a constant injection can be completely eliminated.
    Type: Application
    Filed: May 25, 2021
    Publication date: October 27, 2022
    Inventors: Donglian QI, Jingcheng MEI, Jianliang ZHANG, Yulin CHEN, Zhenyu WANG
  • Publication number: 20220014132
    Abstract: The present disclosure disclose a vector flux weakening control system for a permanent magnet synchronous motor of an electric drive system, which includes a current closed-loop regulation module, a modulation index deviation calculation module, a current characteristic point setting module, a current compensation vector angle calculation module, a current compensation vector amplitude calculation module, a current compensation vector calculation module and a current instruction correction module.
    Type: Application
    Filed: June 16, 2021
    Publication date: January 13, 2022
    Inventors: Miao YU, Lingxia LU, Donglian QI