-
公开(公告)号：US11958719B2
公开(公告)日：2024-04-16
申请号：US18340021
申请日：2023-06-22
发明人： Yang Ge , Fusheng Zhang , Anbo Jiang , Lingyun Ma , Zhen Zhao , Jianxin Ding , Jiancong Qin , Yong Ren , Guodong Sun
摘要： 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.
-
公开(公告)号：US12129150B2
公开(公告)日：2024-10-29
申请号：US18372168
申请日：2023-09-25
发明人： Fusheng Zhang , Yang Ge , Anbo Jiang , Lingyun Ma , Zhen Zhao , Jianxin Ding , Jiancong Qin , Yong Ren , Guodong Sun , Yong Feng , Linzhong Tang
CPC分类号： B66B1/28 , B66B1/2408 , B66B1/3476 , B66B2201/222 , B66B2201/403
摘要： 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.
-
公开(公告)号：US20230331515A1
公开(公告)日：2023-10-19
申请号：US18340021
申请日：2023-06-22
发明人： Yang Ge , Fusheng Zhang , Anbo Jiang , Lingyun Ma , Zhen Zhao , Jianxin Ding , Jiancong Qin , Yong Ren , Guodong Sun
摘要： 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.
-
-
搜索结果
3 条记录 (耗时 0.026 秒)
