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    Subway tunnel intelligent monitoring method and system
    1.
    发明授权
    Subway tunnel intelligent monitoring method and system 有权

    公开(公告)号：US12179814B2

    公开(公告)日：2024-12-31

    申请号：US18763145

    申请日：2024-07-03

    Applicant: Shenzhen University

    Inventor： Xiangsheng Chen ,  Xiaohua Bao ,  Hongzhi Cui ,  Jun Shen

    IPC: G08B25/00 ,  B61L23/04 ,  E21F17/18

    Abstract: Subway tunnel intelligent monitoring method and system relate to the field of track detection. The method includes: activating the inspection device to inspect the track section and detect foreign objects; when the inspection device detects the foreign object during foreign object detection, identifying and acquiring a volume of the foreign object, and according to a correspondence between a range interval to which the volume of the foreign object belongs and a processing scheme, determining the processing scheme for the foreign object with the corresponding volume; implementing the processing scheme for the foreign object with the corresponding volume.

    Shallow geothermal energy efficient utilization and storage system and method based on deep learning optimization
    2.
    发明授权
    Shallow geothermal energy efficient utilization and storage system and method based on deep learning optimization 有权

    公开(公告)号：US11988416B1

    公开(公告)日：2024-05-21

    申请号：US18411562

    申请日：2024-01-12

    Applicant: Shenzhen University

    Inventor： Hongzhi Cui ,  Xiaohua Bao ,  Xiangsheng Chen

    IPC: F24T10/00 ,  G06Q10/20

    CPC classification number: F24T10/00 ,  G06Q10/20 ,  F24T2010/56

    Abstract: The present application relates to an efficient shallow geothermal energy utilization and storage system and method based on deep learning optimization. It includes the steps of obtaining current time information; determining theoretical energy consumption demand curve information; acquiring the heat exchange component number information and a corresponding single-member potential energy information; calculating single-member energy storage information according to the single-member potential energy information and preset efficiency threshold information; adding single-member energy storage information corresponding to the heat exchange component number information to obtain total stored energy information; calculating replacement time information according to the theoretical energy consumption demand curve information and the total stored energy information; and replacing the heat exchange component corresponding to the heat exchange component number information at the replacement time.

    Fly ash-based foam geopolymer, preparation method therefor, and use thereof
    5.
    发明授权
    Fly ash-based foam geopolymer, preparation method therefor, and use thereof 有权

    公开(公告)号：US12151973B2

    公开(公告)日：2024-11-26

    申请号：US18570315

    申请日：2022-03-03

    Applicant: SHENZHEN UNIVERSITY

    Inventor： Hongzhi Cui ,  Weipeng Feng ,  Dapeng Zheng ,  Yu Jin ,  Zhijun Dong

    IPC: C04B28/00 ,  C04B22/06 ,  C04B22/16 ,  C04B24/04 ,  C04B24/12 ,  C04B24/20 ,  C04B24/26 ,  C04B24/38 ,  C04B38/02 ,  C04B103/10 ,  C04B103/30 ,  C04B103/44 ,  C04B103/48 ,  C04B111/40

    Abstract: Disclosed herein are a fly ash-based foam geopolymer, a preparation method therefor, and the use thereof. The fly ash-based foam geopolymer is prepared from raw materials comprising the following components in parts by weight: 900-1000 parts of a fly ash-based material; 600-700 parts of a composite alkali solution; 0-10 parts of a thickening agent; 2-6 parts of a foam stabilizer A; 5-10 parts of a water reducer; and 20-40 parts of a foaming agent. The preparation method of the present application is simple, and processes such as ball milling, water washing and calcining do not need to be carried out on the raw materials, such that the investment in a grinding equipment, a water washing equipment, a sewage treatment equipment, and a calcining equipment is reduced, and the energy consumption and carbon emissions are reduced. The fly ash-based foam geopolymer prepared by using the fly ash-based material as the main raw material in the present application has a low apparent density and a high early strength, and can be used in the field of fabricated buildings.

    Method and system for non-destructive testing of tunnel lining
    6.
    发明授权
    Method and system for non-destructive testing of tunnel lining 有权

    公开(公告)号：US12007524B1

    公开(公告)日：2024-06-11

    申请号：US18426886

    申请日：2024-01-30

    Applicant: Shenzhen University

    Inventor： Hongzhi Cui ,  Shuoli Wu ,  Xiangpeng Cao ,  Xiaohua Bao ,  Lele Cao ,  Xiangsheng Chen

    IPC: E21D11/00 ,  G01V3/12

    CPC classification number: G01V3/12 ,  E21D11/00

    Abstract: A method and system are provided for non-destructive testing of a tunnel lining, and relate to the field of tunnel quality testing technologies. The method includes: obtaining tunnel design information; extracting rebar arrangement information and lining information; determining theoretical arrangement interval information; determining location information of a signal conducting bar group; pre-embedding signal conducting bars in sequence based on the location information of the signal conducting bar group; and manufacturing the lining, mounting an interface slot based on a location of the signal conducting bar, and marking a location of each interface slot as input point location information or receiving point location information, wherein the input point location information indicates a location corresponding to the signal input connection point, and the receiving point location information indicates a location corresponding to the signal receiving point.

    Durability test method, device and system of phase change material
    8.
    发明授权
    Durability test method, device and system of phase change material 有权

    公开(公告)号：US12117409B1

    公开(公告)日：2024-10-15

    申请号：US18606092

    申请日：2024-03-15

    Applicant: Shenzhen University

    Inventor： Hongzhi Cui ,  Xiangpeng Cao ,  Lele Cao ,  Haibin Yang ,  Feng Yu

    IPC: G01N25/02

    CPC classification number: G01N25/02

    Abstract: A durability test method a phase change material includes: placing a material to be tested in a solid-liquid combination test component for detecting the material to be tested, and executing a preset centrifugal rotation detection control scheme; performing cycling control on a temperature regulation semiconductor provided on the solid-liquid combination test component according to a preset temperature single-cycle regulation scheme; obtaining a temperature detection information of the material to be tested; and analyzing and processing the temperature detection information of the material to be tested to generate a durability information of the material to be tested according to a preset durability analysis method of the material to be tested.

    METHOD AND SYSTEM FOR MODAL PREDICTION AND ANALYSIS OF GEOTECHNICAL ENGINEERING STRUCTURE
    9.
    发明公开
    METHOD AND SYSTEM FOR MODAL PREDICTION AND ANALYSIS OF GEOTECHNICAL ENGINEERING STRUCTURE 审中-公开

    公开(公告)号：US20240005067A1

    公开(公告)日：2024-01-04

    申请号：US18090267

    申请日：2022-12-28

    Applicant: SHENZHEN UNIVERSITY

    Inventor： Xiaohua Bao ,  Jun Shen ,  Xiangsheng Chen ,  Hongzhi Cui

    IPC: G06F30/27 ,  G06F30/13 ,  G06Q10/0639 ,  G06Q50/08

    CPC classification number: G06F30/27 ,  G06F30/13 ,  G06Q10/06393 ,  G06Q50/08

    Abstract: Disclosed are a method and system for modal prediction and analysis of a geotechnical engineering structure, which relate to the technical field of structural health monitoring of civil engineering. It solves various influencing elements that affect implementation of construction scheme during construction. The influencing elements comprise construction environment, load conditions, drainage and future precipitation. Taking the future precipitation as an example, the construction of geotechnical engineering structure will be affected in rainy days, even force data will change. The method comprises: obtaining force information of geotechnical engineering structure actually obtained and structural deformation data under different force information as training data; revising the analysis algorithm of geotechnical engineering structure based on the training data and actual data by applying a built neural network algorithm.

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