Design of a bridge digital twin system for Intelligent operation and maintenance based on machine vision
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Bibliographic Details
| Author(s): |
Guogang Ying
(School of Civil Engineering& Architecture, NingboTech University, Ningbo 315100, China; College of civil engineering and architecture, Zhejiang university, Hangzhou 310000, China)
Chengyang Zhang (School of Civil Engineering& Architecture, NingboTech University, Ningbo 315100, China; College of civil engineering and architecture, Zhejiang university, Hangzhou 310000, China) Jieliang Hu (Ningbo Langda Engineering Technology Co., LTD, Ningbo 315100, China) Weimin Chen (Ningbo Langda Engineering Technology Co., LTD, Ningbo 315100, China) Yapeng Xing (Ningbo Langda Engineering Technology Co., LTD, Ningbo 315100, China) Miao Xu (Department of Bridge Engineering, Tongji University, Shanghai 200092, China) Ye Xia (Department of Bridge Engineering, Tongji University, Shanghai 200092, China) |
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| Medium: | conference paper | ||||
| Language(s): | English | ||||
| Conference: | IABSE Congress: Bridges and Structures: Connection, Integration and Harmonisation, Nanjing, People's Republic of China, 21-23 September 2022 | ||||
| Published in: | IABSE Congress Nanjing 2022 | ||||
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| Page(s): | 1709-1714 | ||||
| Total no. of pages: | 6 | ||||
| DOI: | 10.2749/nanjing.2022.1709 | ||||
| Abstract: |
Under the background of the transformation and upgrading of bridge maintenance management, aiming at the problems of weak processing capacity, low management efficiency and intelligent degree of the bridge operation and maintenance process, this paper proposes a digital twin system solution of bridge intelligent operation and maintenance based on machine vision. Then framework of the bridge digital twin system for Intelligent operation and maintenance is proposed, followed by the realization methods based on machine vision. Finally, a case application of the concrete simply supported girder bridge is given. |
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| Keywords: |
bridge Operation and maintenance Digital twin system machine vision
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| Copyright: | © 2022 International Association for Bridge and Structural Engineering (IABSE) | ||||
| License: | This creative work is copyrighted material and may not be used without explicit approval by the author and/or copyright owner. |
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