公开(公告)号：US12049766B1

公开(公告)日：2024-07-30

申请号：US18524645

申请日：2023-11-30

Applicant: Harbin Engineering University ,  North China Electric Power University ,  Shenyang University of Technology

Inventor： Jianhua Zhang ,  Ke Sun ,  Shuaizheng Wang ,  Zhichuan Li ,  Dianwei Gao ,  Lei Qi ,  Ning Li ,  Chao Tang ,  Yongqian Liu ,  Hang Meng

IPC: E04H12/20 ,  F03D13/25

CPC classification number: E04H12/20 ,  F03D13/256 ,  F05B2240/93

Abstract: A tensegrity offshore wind power generation support structure is provided, relating to the technical field of offshore wind power. The support structure includes inclined columns, prestressed cables, a rigid support, a floating foundation and anchoring systems. A stable self-balancing space supporting structure is formed by the inclined columns and the cables; the inclined columns inclines outwards, upper parts of the inclined columns are connected with the prestressed cables; the bottom ends of the inclined columns are connected with the floating foundation; the middle parts of the inclined columns are connected with the rigid support; and the floating foundation is fixed with a seabed through the anchoring systems. According to the support structure, a tower in the traditional design is not needed, and all the cables are ensured to be in a tension state through the support of the inclined columns.

公开(公告)号：US10439594B2

公开(公告)日：2019-10-08

申请号：US15519823

申请日：2014-12-01

Applicant: Yuxin Zhao ,  HARBIN ENGINEERING UNIVERSITY

Inventor： Yuxin Zhao ,  Chang Liu ,  Xuefeng Zhang ,  Liqiang Liu ,  Gang Li ,  Feng Gao ,  Ning Li ,  Zhifeng Shen ,  Zhenxing Zhang ,  Zhao Qi

IPC: G06F17/50 ,  H03H17/02

Abstract: The present invention provides an actually-measured marine environment data assimilation method based on sequence recursive filtering three-dimensional variation. The method includes: preprocessing actually-measured marine environment data; calculating a target function value; calculating a gradient value of a target function; calculating a minimum value of the target function; extracting space multi-scale information from the actually-measured data; and updating background field data to form a final data assimilation analysis field. The present invention improves the traditional recursive filtering three-dimensional variation method, and sequentially assimilates information with different scales, thereby effectively overcoming the problem that multi-scale information cannot be effectively extracted by a traditional three-dimensional variation method. A high-order recursive Gaussian filter is used, and a cascaded form of the high-order recursive filter is converted into a parallel structure, so that the recursive filtering process of the recursive Gaussian filter can be executed in parallel, and many problems caused by a cascaded filter are overcome.

公开(公告)号：US20170338802A1

公开(公告)日：2017-11-23

申请号：US15519823

申请日：2014-12-01

Applicant: HARBIN ENGINEERING UNIVERSITY

Inventor： Yuxin Zhao ,  Chang Liu ,  Harbin, Heilongjiang Zhang ,  Liqiang Liu ,  Gang Li ,  Feng Gao ,  Ning Li ,  Zhifeng Shen ,  Zhenxing Zhang ,  Zhao Qi

IPC: H03H17/02

CPC classification number: H03H17/0282 ,  G06F17/50 ,  H03H17/0202 ,  H03H2017/021

Abstract: The present invention provides an actually-measured marine environment data assimilation method based on sequence recursive filtering three-dimensional variation. The method includes: preprocessing actually-measured marine environment data; calculating a target function value; calculating a gradient value of a target function; calculating a minimum value of the target function; extracting space multi-scale information from the actually-measured data; and updating background field data to form a final data assimilation analysis field. The present invention improves the traditional recursive filtering three-dimensional variation method, and sequentially assimilates information with different scales, thereby effectively overcoming the problem that multi-scale information cannot be effectively extracted by a traditional three-dimensional variation method. A high-order recursive Gaussian filter is used, and a cascaded form of the high-order recursive filter is converted into a parallel structure, so that the recursive filtering process of the recursive Gaussian filter can be executed in parallel, and many problems caused by a cascaded filter are overcome.