Patents by Inventor Anbo Jiang

Anbo Jiang 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: 12129150
    Abstract: A collaborative scheduling method for high-rise elevators based on Internet of Things is provided. The method includes: obtaining the number of people carried at the current moment of each elevator in the elevator group, the target distance corresponding to the current moment of each elevator, and the number of people waiting at the current moment of each floor; predicting the number of people waiting for the going up and the number of people waiting for the going down at the current moment of each floor based on the monitoring video data of the elevator door every day in the preset historical days, and constructing the corresponding feature vectors of each elevator at the current moment and the corresponding feature vectors of the skyscraper at the current moment, and then obtaining the corresponding state vectors at the current moment, controlling each elevator based on state vector and a reinforcement learning network.
    Type: Grant
    Filed: September 25, 2023
    Date of Patent: October 29, 2024
    Assignees: Changshu Institute of Technology, Dongnan Elevator Co., Ltd.
    Inventors: Fusheng Zhang, Yang Ge, Anbo Jiang, Lingyun Ma, Zhen Zhao, Jianxin Ding, Jiancong Qin, Yong Ren, Guodong Sun, Yong Feng, Linzhong Tang
  • Publication number: 20240217772
    Abstract: A collaborative scheduling method for high-rise elevators based on Internet of Things is provided. The method includes: obtaining the number of people carried at the current moment of each elevator in the elevator group, the target distance corresponding to the current moment of each elevator, and the number of people waiting at the current moment of each floor; predicting the number of people waiting for the going up and the number of people waiting for the going down at the current moment of each floor based on the monitoring video data of the elevator door every day in the preset historical days, and constructing the corresponding feature vectors of each elevator at the current moment and the corresponding feature vectors of the skyscraper at the current moment, and then obtaining the corresponding state vectors at the current moment, controlling each elevator based on state vector and ES-Reinforcement learning network.
    Type: Application
    Filed: September 25, 2023
    Publication date: July 4, 2024
    Applicants: Changshu Institute of Technology, Dongnan Elevator Co., Ltd.
    Inventors: Fusheng ZHANG, Yang GE, Anbo JIANG, Lingyun MA, Zhen ZHAO, Jianxin DING, Jiancong QIN, Yong REN, Guodong SUN, Yong FENG, Linzhong TANG
  • Patent number: 11958719
    Abstract: The present invention relates to the field of elevator braking, in particular to an action state detection method and system for an elevator brake, comprising: acquiring matching pairs of brake linings in the same braking state; constructing normal record data sets based on the matching pairs; grouping the normal record data sets based on braking power corresponding to samples in the normal record data sets to determine a median of elevator running speed corresponding to the samples in each group; dividing the operating state levels of the elevator brake according to the size of the median; constructing a data training set; training a constructed network model to obtain a trained network model; acquiring the operating state levels of an elevator to be detected by the trained network model, evaluating the elevator brake according to the operating state levels, and controlling the elevator.
    Type: Grant
    Filed: June 22, 2023
    Date of Patent: April 16, 2024
    Assignees: Changshu Institute of Technology, Dongnan Elevator Co., Ltd.
    Inventors: Yang Ge, Fusheng Zhang, Anbo Jiang, Lingyun Ma, Zhen Zhao, Jianxin Ding, Jiancong Qin, Yong Ren, Guodong Sun
  • Publication number: 20230331515
    Abstract: The present invention relates to the field of elevator braking, in particular to an action state detection method and system for an elevator brake, comprising: acquiring matching pairs of brake linings in the same braking state; constructing normal record data sets based on the matching pairs; grouping the normal record data sets based on braking power corresponding to samples in the normal record data sets to determine a median of elevator running speed corresponding to the samples in each group; dividing the operating state levels of the elevator brake according to the size of the median; constructing a data training set; training a constructed network model to obtain a trained network model; acquiring the operating state levels of an elevator to be detected by the trained network model, evaluating the elevator brake according to the operating state levels, and controlling the elevator.
    Type: Application
    Filed: June 22, 2023
    Publication date: October 19, 2023
    Inventors: Yang Ge, Fusheng Zhang, Anbo Jiang, Lingyun Ma, Zhen Zhao, Jianxin Ding, Jiancong Qin, Yong Ren, Guodong Sun
  • Publication number: 20230321699
    Abstract: A low power consumption elevator brake includes the device body and the collection box located on the inner side of the device body. The bottom of the device body is installed with a base, and the side of the base is provided with a collection tank. The top of the device body is connected with a vacuum pipe connected to the collection tank. The top of the vacuum pipe is provided with an interception module. The side of the base is connected with an air outlet pipe connected to the collection tank. The air outlet pipe is provided with an exhaust fan, and the base is provided with a filter module through the collection tank.
    Type: Application
    Filed: March 31, 2023
    Publication date: October 12, 2023
    Applicant: Changshu Institute of Technology
    Inventors: Fusheng ZHANG, Lanyu YANG, Yang GE, Anbo JIANG, Bo HUANG, Yan DOU, Jianxin DING, Fengwang CHEN, Yun FENG, Deren GU, Yuejiang GU