Invention Grant
- Patent Title: Multi-scale inspection and intelligent diagnosis system and method for tunnel structural defects
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Application No.: US17289139Application Date: 2020-09-30
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Publication No.: US12013485B2Publication Date: 2024-06-18
- Inventor: Shucai Li , Bin Liu , Zhengfang Wang , Peng Jiang , Fengkai Zhang , Hanchi Liu
- Applicant: SHANDONG UNIVERSITY
- Applicant Address: CN Shandong
- Assignee: SHANDONG UNIVERSITY
- Current Assignee: SHANDONG UNIVERSITY
- Current Assignee Address: CN Jinan
- Agency: Oliff PLC
- Priority: CN 1910955502.2 2019.10.09 CN 2010014715.8 2020.01.07 CN 2010014732.1 2020.01.07 CN 2010071046.8 2020.01.21
- International Application: PCT/CN2020/119581 2020.09.30
- International Announcement: WO2021/068848A 2021.04.15
- Date entered country: 2021-04-27
- Main IPC: G01S7/41
- IPC: G01S7/41 ; B25J5/00 ; B25J15/00 ; F16L101/30 ; G01M3/38 ; G01N23/203 ; G01N29/06 ; G01S13/88 ; G05D1/00 ; G06N3/08

Abstract:
A multi-scale inspection and intelligent diagnosis system and method for tunnel structural defects includes: a traveling section; a supporting section, disposed on the traveling section, and including a rotatable telescopic platform, where two mechanical arms working in parallel are disposed on the rotatable telescopic platform; an inspection section, mounted on the supporting section, and configured to perform multi-scale inspection on surface defects and internal defects in different depth ranges of a same position of a tunnel structure, and transmit inspected defect information to a control section; and the control section, configured to: construct a deep neural network-based defect diagnosis model; construct a data set by using historical surface defect and internal defect information, and train the deep neural network-based defect diagnosis model; and receive multi-scale inspection information in real time, and automatically recognize types, positions, contours, and dielectric attributes of the internal and surface defects.
Public/Granted literature
- US20210396842A1 MULTI-SCALE INSPECTION AND INTELLIGENT DIAGNOSIS SYSTEM AND METHOD FOR TUNNEL STRUCTURAL DEFECTS Public/Granted day:2021-12-23
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