Patents by Inventor Shigen Fu

Shigen Fu 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: 12291831
    Abstract: Disclosed are a grouting pipe and a construction method of a desert water storage area. An isolation layer can be constructed in any desert area to form the water storage area. A plurality of anchoring claws are arranged between an inner pipe and an outer pipe of a pipe body. The anchoring claw has a grouting flow channel for grouting into surrounding sand grains. When the grouting pipe is being laid, the anchoring claw is folded. During grouting, an elastic bag structure supports the anchoring claw. The pipe body can be firmly anchored in the sand grains. Slurry sprayed out of the anchoring claw moves from the pipe body by a certain distance, with a wider flowing range in the sand grains, and can meet and condense with slurries of other drilled holes, which facilitates better formation of the isolation layer, so that the desert water storage area is formed.
    Type: Grant
    Filed: July 9, 2024
    Date of Patent: May 6, 2025
    Assignee: CHINA ACADEMY OF SAFETY SCIENCE AND TECHNOLOGY
    Inventors: Mingbo Chi, Fubao Zhou, Hongfei Duan, Shigen Fu, Guoxin Han, Quanwu Gao, Hairui Li, Shuai Zhang, Ziyi Zhong, Ersheng Zha, Chuangchuang Dai, Lei Guan
  • Patent number: 11954415
    Abstract: An early warning method for safety production risk of tailings pond based on risk ranking is provided. The early warning method includes: monitoring and collecting internal basic data of a tailings pond in real-time, and performing a basic monitoring and a basic early warning; collecting geographical location data, meteorological data, and historical geological disaster data of an area where the tailings pond is located; performing risk ranking on a safety production risk of the tailings pond, thereby obtaining a risk level of the tailings pond; and collecting case data of global tailings pond accidents and hazard degree data thereof, acquiring accident solution strategies for the global tailings pond accidents, performing management and monitoring on the tailings pond, setting parameters in a process of the basic monitoring, and performing a ranked early warning on the safety production risk of the tailings pond based on the risk level.
    Type: Grant
    Filed: November 9, 2023
    Date of Patent: April 9, 2024
    Assignees: China Academy of Safety Science and Technology, Jiangxi Emergency Management Science Research Institute
    Inventors: Youliang Chen, Haigang Li, Shigen Fu, Yanyu Chu, Qing Wang, Shouyin Wang, Zhentao Li, Yi Liu, Xiangliang Tian, Tao Chen, Jia Li, Xiaolong Zheng, Pangfeng Guo, Shuang Chen
  • Publication number: 20240086589
    Abstract: An early warning method for safety production risk of tailings pond based on risk ranking is provided. The early warning method includes: monitoring and collecting internal basic data of a tailings pond in real-time, and performing a basic monitoring and a basic early warning; collecting geographical location data, meteorological data, and historical geological disaster data of an area where the tailings pond is located; performing risk ranking on a safety production risk of the tailings pond, thereby obtaining a risk level of the tailings pond; and collecting case data of global tailings pond accidents and hazard degree data thereof, acquiring accident solution strategies for the global tailings pond accidents, performing management and monitoring on the tailings pond, setting parameters in a process of the basic monitoring, and performing a ranked early warning on the safety production risk of the tailings pond based on the risk level.
    Type: Application
    Filed: November 9, 2023
    Publication date: March 14, 2024
    Inventors: Youliang Chen, Haigang Li, Shigen Fu, Yanyu Chu, Qing Wang, Shouyin Wang, Zhentao Li, Yi Liu, Xiangliang Tian, Tao Chen, Jia Li, Xiaolong Zheng, Pangfeng Guo, Shuang Chen