Patents by Inventor Maofei Wang

Maofei 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: 20260188013
    Abstract: A computer-vision-based safety monitoring and early warning method and system for a transmission line. The method includes: acquiring a scene image of the transmission line; identifying a transmission channel area and dynamic targets on the scene image; determining an interference result between the dynamic targets and the transmission channel area based on an identification result of the transmission channel area and the dynamic targets, specifically including: overlapping and comparing trajectory information of the dynamic targets with the transmission channel area to give an overlapping result; based on the overlapping result, screening out a dynamic target of which the trajectory information overlaps with the transmission channel area; and determining alarm information based on the interference result.
    Type: Application
    Filed: August 9, 2024
    Publication date: July 2, 2026
    Applicants: State Grid Taizhou Power Supply Company Of State Grid Jiangsu Electric Power Co., Ltd., State Grid Jiangsu Electric Power Co., Ltd., Jiangsu Frontier Electric Technology CO., LTD.
    Inventors: Xiao LU, Qiang WU, Chengling JIANG, Zhoujun MA, Maofei WANG, Qiwei WU, Yongdong DAI, Hua SHAN, Yiming TANG, Yuquan CHEN, Xin ZHANG, Chunlei XU, Chao GAO, Feng MAO, Rui FU, Ling JU, Wei FENG
  • Patent number: 12105199
    Abstract: A system and method for measuring an image distance of power transmission lines with an unmanned aerial vehicle (UAV). The system includes: a UAV, a master console, and a plurality of cameras. The cameras are configured to collect 2D image data of a power transmission line corridor. The UAV includes a vehicle body, a lidar device, a rotor assembly, a power unit, a flight control processor, a state detection device, and a wireless communication module. The lidar device is configured to collect 3D point cloud data of the power transmission lines. The master console is configured to receive the 2D image data and the 3D point cloud data, and establish a mapping relationship between the 2D image data and the 3D point cloud data; recognize a target object, determine 3D point coordinates of the target object, and calculate a distance from the target object to the power transmission lines.
    Type: Grant
    Filed: December 30, 2021
    Date of Patent: October 1, 2024
    Assignees: State Grid Jiangsu Taizhou Power Supply Company, Allcorehatress (Beijing) Technology Co., Ltd.
    Inventors: Yongdong Dai, Jianguang Yao, Feng Mao, Maofei Wang, Wanjin Yu, Beibei Weng, Ling Ju, Zhongjun Jiang, Xinlian Bu, Weihao Fan, Ze Zhang, Xingchun Xu
  • Publication number: 20240053477
    Abstract: A system and method for measuring an image distance of power transmission lines with an unmanned aerial vehicle (UAV). The system includes: a UAV, a master console, and a plurality of cameras. The cameras are configured to collect 2D image data of a power transmission line corridor. The UAV includes a vehicle body, a lidar device, a rotor assembly, a power unit, a flight control processor, a state detection device, and a wireless communication module. The lidar device is configured to collect 3D point cloud data of the power transmission lines. The master console is configured to receive the 2D image data and the 3D point cloud data, and establish a mapping relationship between the 2D image data and the 3D point cloud data; recognize a target object, determine 3D point coordinates of the target object, and calculate a distance from the target object to the power transmission lines.
    Type: Application
    Filed: December 30, 2021
    Publication date: February 15, 2024
    Inventors: Yongdong Dai, Jianguang Yao, Feng Mao, Maofei Wang, Wanjin Yu, Beibei Weng, Ling Ju, Zhongjun Jiang, Xinlian Bu, Weihao Fan, Ze Zhang, Xingchun Xu