Bridge beam falling early warning method and device based on OTDR

By using distributed fiber optic sensing technology and adaptive OTDR signal processing, the problems of inaccurate positioning and alarm delay in bridge beam drop monitoring have been solved, enabling efficient, accurate monitoring and rapid response of bridge groups.

CN121661797BActive Publication Date: 2026-05-26CCCC FIRST HIGHWAY CONSULTANTS CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CCCC FIRST HIGHWAY CONSULTANTS CO LTD
Filing Date
2026-02-06
Publication Date
2026-05-26

AI Technical Summary

Technical Problem

Existing bridge beam drop monitoring and alarm systems struggle to achieve accurate positioning in long-distance or multi-bridge continuous monitoring scenarios, and traditional OTDR signal processing suffers from limited positioning accuracy and alarm delay.

Method used

By employing distributed fiber optic sensing technology, combined with one-dimensional Gaussian convolution kernel smoothing and noise reduction, end-point clutter noise region identification, and significant peak detection, an adaptive OTDR signal processing method is established to achieve real-time monitoring and precise positioning of bridge beam drops.

Benefits of technology

It enables continuous monitoring of long-distance bridge groups, improves the accuracy of fault location and alarm efficiency, meets the safety monitoring needs of large-scale, long-distance bridge groups, and reduces system costs and maintenance workload.

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Abstract

This invention relates to the field of bridge structural safety monitoring, specifically a bridge beam collapse early warning method and device based on OTDR. This invention employs distributed fiber optic sensing technology to achieve continuous monitoring of long-distance bridge groups. By monitoring link breakpoints in real time, it automatically retrieves the specific location coordinates of the damage, providing quantitative and precise spatial information support for rapid emergency rescue. Simultaneously, this invention establishes a hierarchical early warning mechanism, including terminal peak mutations and statistical analysis of significant peaks in the middle section, by introducing smoothing and noise reduction, end-point clutter noise region identification, peak detection based on significant difference, and an OTDR ranging uncertainty model in OTDR curve processing. This significantly improves the location accuracy and alarm efficiency of faults, meeting the need for large-scale, long-distance lightweight safety monitoring at the road segment and bridge group level.
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