Cable-stayed bridge cable force intelligent monitoring method and system based on multi-modal data fusion

By using a multimodal data fusion method, combining grayscale images and strain data, the linear deviation, stress nonuniformity, nonlinear strength, and energy mobility of the cable-stayed bridge are calculated. This solves the problem of inaccurate assessment in traditional cable-stayed bridge cable force monitoring and enables accurate assessment and safety assurance of the cable force state of cable-stayed bridges.

CN122153745AActive Publication Date: 2026-06-05ROAD & BRIDGE INT CO LTD +2
9 Cites 0 Cited by

Patent Information

Application Number
CN202610620891.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-05-08
Publication Date
2026-06-05
Estimated Expiration
2046-05-08

AI Technical Summary

Technical Problem

Traditional methods are insufficient to fully reflect the spatial mechanical state of the entire cable in cable-stayed bridge cable force monitoring. Single-dimensional strain data lacks the ability to capture cable deformation, resulting in a single dimension for judging cable force anomalies. This can easily lead to monitoring misjudgments and response delays, affecting the accuracy and reliability of the assessment.

Method used

A multimodal data fusion method is adopted to acquire grayscale images and strain data of each cable of a cable-stayed bridge, calculate the alignment deviation, stress non-uniformity, nonlinear strength and energy mobility, and evaluate the cable stress state of the cable by combining the anomaly coefficient, so as to achieve multi-dimensional monitoring.

Benefits of technology

Accurately capturing abnormal changes in cable force improves the precision of cable force monitoring for cable-stayed bridges, ensuring their safe operation. It can also identify structural damage, material aging, and local defects, reducing monitoring errors.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

The invention relates to the technical field of bridge structure health, in particular to a multi-modal data fusion-based cable-stayed bridge cable force intelligent monitoring method and system, and the method comprises the steps: obtaining a gray image and strain data of each stay cable on a cable-stayed bridge at each moment in each monitoring period; extracting a stay cable skeleton in the gray level image; the linear deviation degree and the stress unevenness of each stay cable in each monitoring period are calculated, and a first evaluation value of each stay cable in each monitoring period is obtained; calculating the nonlinear strength and the energy mobility of each stay cable in each monitoring period, and determining a second evaluation value of each stay cable in each monitoring period; and determining an abnormal coefficient of each stay cable in each monitoring period, and performing abnormal evaluation on the cable force state of the stay cables on the cable-stayed bridge. According to the invention, complementation and verification of multi-source information at a higher level are realized, the accuracy of cable-stayed bridge cable force abnormity monitoring is improved, and safe operation of a cable-stayed bridge is effectively guaranteed.
Need to check novelty before this filing date? Find Prior Art