Bridge tower section attitude intelligent prediction method and system based on multi-point cooperative positioning

Through the intelligent prediction method of bridge tower segment posture based on multi-point collaborative positioning, combined with rigid body transformation algorithm and three-dimensional visualization platform, the problems of bridge tower segment installation accuracy and error control are solved, and high-precision construction efficiency and intuitive data presentation are achieved.

CN119720324AActive Publication Date: 2025-03-28CCCC HIGHWAY BRIDGES NATIONAL ENGINEERING RESEARCH CENTRE CO LTD +2
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Patent Information

Application Number
CN202411548959.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-01
Publication Date
2025-03-28
Estimated Expiration
2044-11-01

AI Technical Summary

Technical Problem

In large-scale bridge projects, it is difficult to ensure the precise positioning and installation of bridge tower segments, and it is difficult for the prior art to effectively control cumulative errors and convert complex monitoring data into easy-to-understand graphical presentation.

Method used

The intelligent prediction method of the bridge tower segment posture based on multi-point collaborative positioning is adopted to obtain the spatial coordinates and environmental parameters of the bridge tower segment in real time. Through an intelligent prediction algorithm based on rigid body transformation, the rotation matrix and translation vector are used to accurately predict the installation position of the next segment, and a high-fidelity three-dimensional visualization platform is integrated, combining BIM modeling technology and real-time data display.

Benefits of technology

Effectively control cumulative errors, improve the accuracy and construction efficiency of bridge tower segment erection, and provide intuitive graphical presentation to help engineers identify and adjust deviations in segment installation in a timely manner.

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Abstract

The invention discloses a bridge tower section attitude intelligent prediction method and system based on multi-point cooperative localization, and the method comprises the steps: S100, selecting a plurality of observation points on two adjacent side surfaces of an installed section, obtaining the space coordinates of the observation points through a laser reflector, and carrying out the cooperative measurement through a plurality of total stations; s200, performing attitude change prediction on the to-be-installed segment based on the rigid body transformation mathematical model, calculating the optimal attitude of the to-be-installed segment by using a rotation matrix and a translation vector, optimizing attitude estimation by excessive-point redundant information, and controlling an accumulative error; s300, performing BIM modeling on the bridge tower structure, performing high-precision three-dimensional rendering, converting complex monitoring data into a visual graphical interface, and displaying a segment state in real time; s400, according to data comparison, analysis is carried out in combination with errors, and if the errors with design data are large, corresponding adjustment is carried out; and S500, the steps are repeated till all the bridge tower sections are accurately positioned and installed. And the erection precision and the construction efficiency of the bridge tower sections are improved.
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