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    PRIMARY-SECONDARY TYPE INFRASTRUCTURE DISEASE DETECTION AND REPAIR SYSTEM AND METHOD
    2.
    发明申请
    PRIMARY-SECONDARY TYPE INFRASTRUCTURE DISEASE DETECTION AND REPAIR SYSTEM AND METHOD 有权

    公开(公告)号：US20230011911A1

    公开(公告)日：2023-01-12

    申请号：US17779550

    申请日：2020-11-06

    Applicant: SHANDONG UNIVERSITY

    Inventor： Jing WANG ,  Zhengfang WANG ,  Peng JIANG ,  Kefu CHEN ,  Yanfei YU ,  Wei GUO ,  Qingmei SUI

    IPC: B29C64/393 ,  G01S17/89 ,  B25J11/00 ,  B25J9/16 ,  B33Y30/00 ,  B33Y50/02 ,  B29C64/236 ,  B29C73/02 ,  B29C73/24

    Abstract: A surface disease repair system and method for an infrastructure based on climbing robots are provided. The system includes a detection and marking climbing robot and a repair climbing robot. In the process of moving on a surface of an infrastructure to be detected, the detection and marking climbing robot collects a front surface image in real time through a binocular camera arranged at a front end, detects a disease on the basis of the front surface image, and performs localization and map reconstruction at the same time; when a disease is detected, the position of the disease is recorded, and a marking device is controlled to mark the disease; after detection and marking are completed, the position of the disease and the map are sent to the repair climbing robot; and the repair climbing robot receives the map and the position of the disease, reaches the position of the disease, and repairs the disease according to the mark by using a repair device.

    SELF-CORRECTING ASSEMBLABLE OPTICAL FIBER SENSING SYSTEM FOR DISPLACEMENT FIELD AND CORRECTION METHOD THEREOF
    3.
    发明公开
    SELF-CORRECTING ASSEMBLABLE OPTICAL FIBER SENSING SYSTEM FOR DISPLACEMENT FIELD AND CORRECTION METHOD THEREOF 审中-公开

    公开(公告)号：US20240240974A1

    公开(公告)日：2024-07-18

    申请号：US18487278

    申请日：2023-10-16

    Applicant: SHANDONG UNIVERSITY

    Inventor： Zhengfang WANG ,  Jing WANG ,  Qingmei SUI ,  Lei JIA

    IPC: G01D5/38

    CPC classification number: G01D5/38

    Abstract: A self-correcting assemblable optical fiber sensing system for a displacement field and a correction method thereof are provided. The system includes multiple assemblable flexible optical fiber sensing devices for measuring displacement field; multiple inclination angle self-sensing connection devices for connecting between assemblable flexible optical fiber sensing devices, and an optical fiber demodulation device for obtaining strain data of the assemblable flexible optical fiber sensing devices and two-axis inclination angle data of the inclination angle self-sensing connection devices, and correcting the displacement field measured by the assemblable flexible optical fiber sensing devices. The assemblable flexible optical fiber sensing devices are connected between the inclination angle self-sensing connection devices, and the optical fiber demodulation device is connected to a free end of the inclination angle self-sensing connection device. In this situation, two-dimensional displacement field monitoring of the large-scale structure can be realized.

    MULTI-ARM ROBOT USED FOR TUNNEL LINING INSPECTION AND DEFECT DIAGNOSIS IN OPERATION PERIOD
    4.
    发明申请
    MULTI-ARM ROBOT USED FOR TUNNEL LINING INSPECTION AND DEFECT DIAGNOSIS IN OPERATION PERIOD 有权

    公开(公告)号：US20210389257A1

    公开(公告)日：2021-12-16

    申请号：US17289280

    申请日：2020-09-30

    Applicant: SHANDONG UNIVERSITY

    Inventor： Bin LIU ,  Zhengfang WANG ,  Peng JIANG ,  Wenqiang KANG ,  Hanchi LIU ,  Jiaqi ZHANG ,  Qingmei SUI

    IPC: G01N21/954 ,  G01N22/02 ,  G01N23/203 ,  G01N23/20008 ,  F16L55/40 ,  G01N21/88 ,  G06N20/00

    Abstract: A multi-arm robot used for tunnel lining inspection and defect diagnosis in an operation period, including a moving platform, where an environment detection device and a defect infection device are disposed on the moving platform, the defect infection device is disposed on the moving platform by using a multi-degree-of-freedom mechanical arm, and an attitude detection module is disposed on each multi-degree-of-freedom mechanical arm; a controller receives environmental data and mechanical arm attitude data sensed by the environment detection device and the attitude detection module, and sends a control instruction to the moving platform and the multi-degree-of-freedom mechanical arm according to the environmental data, to implement movement of the robot; and the controller receives tunnel lining structural data sensed by the defect infection device, and performs defect diagnosis. Overall automatic inspection can be implemented both on the surface and inside of the tunnel lining.

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