测试技术学报2024，Vol.38Issue(3)：221-229,9.DOI:10.3969/j.issn.1671-7449.2024029
基于自适应Kalman滤波GNSS-RTK与加速度数据融合的桥梁结构位移重构方法
Bridge Structural Displacement Reconstruction Method Based on Fusion of Adaptive Kalman-Filtered GNSS-RTK Data and Acceleration Data
单京辉 1齐麟1
作者信息
- 1. 山东高速工程检测有限公司,山东 济南 250000
- 折叠
摘要
Abstract
The displacement of the main beam is an important indicator for safety assessment and damage diagnosis of long-span bridges,as well as a key monitoring target in bridge health monitoring systems.To improve the accuracy and reliability of GNSS-RTK displacement data,this paper proposes a bridge structural displacement reconstruction method based on the fusion of adaptive Kalman-filtered GNSS-RTK data and acceleration data.This method achieves the fusion of low-frequency displacement data with high-frequency acceleration data,the measurement precision and frequency of real-time displacement data are further enhanced,addressing the lack of high-frequency displacement components in GNSS-RTK data.Finally,taking the Taidong Yellow River Bridge as an example,the reliability and effectiveness of this displacement reconstruction method in the displacement reconstruction process of long-span bridges are verified using the finite element method.The research results provide theoretical support and reference for improving the accuracy of real-time displacement monitoring of bridge structures.关键词
桥梁工程/结构健康监测/数据融合/卡尔曼滤波/位移重构Key words
bridge engineering/structural health monitoring/data fusion/Kalman filtering/displacement-reconstruction分类
信息技术与安全科学引用本文复制引用
单京辉,齐麟..基于自适应Kalman滤波GNSS-RTK与加速度数据融合的桥梁结构位移重构方法[J].测试技术学报,2024,38(3):221-229,9.
