首页|A displacement measurement methodology for deformation monitoring of long‐span arch bridges during construction based on scalable multi‐camera system

A displacement measurement methodology for deformation monitoring of long‐span arch bridges during construction based on scalable multi‐camera system

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Abstract This study presents a scalable multi‐camera system (S‐MCS) for high‐precision displacement measurement and deformation monitoring of long‐span arch bridges during construction. Traditional methods such as robotic total stations (RTS) and single‐camera systems face limitations in dynamic scalability, synchronous multi‐point monitoring, and robustness against environmental disturbances. To address these challenges, the proposed S‐MCS integrates dynamically expandable measuring cameras and dual correcting cameras to compensate for platform ego‐motion. A self‐calibration algorithm and spatiotemporal reference alignment framework are developed to ensure measurement consistency across evolving construction phases. The system was deployed on a 600‐m‐span arch bridge, achieving sub‐millimeter accuracy (root mean square error ≤ 1.09 mm) validated against RTS data. Key innovations include real‐time platform motion compensation, adaptive coverage expansion, and high‐frequency sampling for capturing transient structural responses. Comparative analyses under construction loads, thermal variations, and extreme crosswinds demonstrated the system's superiority in tracking multi‐point displacements, resolving dynamic behaviors and supporting safety assessments. The S‐MCS provides a robust solution for automated, large‐scale structural health monitoring, with potential applications in diverse infrastructure projects requiring adaptive, high‐resolution deformation tracking.

Yihe Yin、Xiaolin Liu、Biao Hu、Wenjun Chen、Xiao Guo、Danyang Ma、Xiaohua Ding、Linhai Han、Qifeng Yu

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Shenzhen University||Shenzhen University||Shenzhen University||Shenzhen University

Shenzhen University||Shenzhen University||Shenzhen University

Shenzhen University||Shenzhen University

Guangxi University

Beihang University

Shenzhen Eagle Eye Online Electronic Technology Co. Ltd.

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2025

Computer-aided civil and infrastructure engineering

Computer-aided civil and infrastructure engineering

ISSN:1093-9687
年,卷(期):2025.40(13)
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