Bridge structure state intelligent monitoring method and system based on multi-modal optical feature cross-validation

A bridge structure condition monitoring method based on cross-validation of multimodal optical features is used to construct an intelligent monitoring system by utilizing vehicle reflected light and taillight trajectories. This solves the problems of real-time and all-weather bridge monitoring and enables efficient and reliable early warning of sudden hazards to bridge structures.

CN122116124APending Publication Date: 2026-05-29CHANGAN UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CHANGAN UNIV
Filing Date
2026-01-23
Publication Date
2026-05-29

AI Technical Summary

Technical Problem

Existing bridge structure monitoring methods have significant limitations in terms of real-time performance, full coverage, and all-weather capability, making it difficult to achieve continuous and efficient perception of the bridge structure status and immediate early warning of sudden emergencies.

Method used

A multimodal optical feature cross-validation method is adopted. By collecting images of reflected light from vehicles at night and taillight trajectories, and combining dynamic traffic flow with optical feature anomalies of static facilities, an intelligent monitoring system is constructed. By using the mutual verification between the taillight spot trajectories of vehicles and bridge facade markings, real-time monitoring and early warning of the bridge structural status can be achieved.

Benefits of technology

It achieves low-cost, wide-coverage, and all-weather bridge structure monitoring, and can respond to sudden structural collapses in seconds, reducing false alarm rates and improving the reliability and real-time performance of early warnings.

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Abstract

The present application belongs to the technical field of intelligent transportation, and relates to a bridge structure state intelligent monitoring method and system based on multi-modal optical feature cross-validation. The present application ingeniously utilizes the existing and ubiquitous mobile light source (i.e. the vehicle lights of the driving vehicles) on the night road and the optical reflection target (i.e. the facade contour marker) on the bridge, takes the interaction of the two as a kind of new passive monitoring signal, combines the tail light point trajectory of the dynamically captured vehicles passing through the bridge, and constructs an intelligent monitoring system of cross-validation and mutual complementation by fusing the double optical feature abnormalities of the dynamic traffic flow (vehicle tail light) and the static facility (bridge marker anomaly), so as to realize the instantaneous early warning of the bridge collapse and other major risks with higher reliability and lower false alarm rate.
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