李清泉, 陈睿哲, 涂伟, 陈智鹏, 张博琛, 严爱国, 殷鹏程. 基于惯性相机的大跨度桥梁线形形变实时测量方法[J]. 武汉大学学报 ( 信息科学版), 2023, 48(11): 1834-1843. DOI: 10.13203/j.whugis20230006
引用本文: 李清泉, 陈睿哲, 涂伟, 陈智鹏, 张博琛, 严爱国, 殷鹏程. 基于惯性相机的大跨度桥梁线形形变实时测量方法[J]. 武汉大学学报 ( 信息科学版), 2023, 48(11): 1834-1843. DOI: 10.13203/j.whugis20230006
LI Qingquan, CHEN Ruizhe, TU Wei, CHEN Zhipeng, ZHANG Bochen, YAN Aiguo, YIN Pengcheng. Real-Time Vision-Based Deformation Measurement of Long-Span Bridge with Inertial Sensors[J]. Geomatics and Information Science of Wuhan University, 2023, 48(11): 1834-1843. DOI: 10.13203/j.whugis20230006
Citation: LI Qingquan, CHEN Ruizhe, TU Wei, CHEN Zhipeng, ZHANG Bochen, YAN Aiguo, YIN Pengcheng. Real-Time Vision-Based Deformation Measurement of Long-Span Bridge with Inertial Sensors[J]. Geomatics and Information Science of Wuhan University, 2023, 48(11): 1834-1843. DOI: 10.13203/j.whugis20230006

基于惯性相机的大跨度桥梁线形形变实时测量方法

Real-Time Vision-Based Deformation Measurement of Long-Span Bridge with Inertial Sensors

  • 摘要: 大跨度桥梁线形形变测量对桥梁结构健康安全监测与评估具有重要意义。水准测量、连通管等形变测量方法测量频率低、成本高,单相机形变测量方法测量距离越远测量精度越差,难以满足大跨度桥梁线形形变高精度测量需求。提出了一种集成惯性传感器和视觉测量的大跨度桥梁线形形变实时测量方法,使用相机高频拍摄桥梁测量靶标图像,同时利用惯性传感器纠正因相机振动带来的测量误差,通过多惯性相机串联延伸视觉测量的范围,采用联合解算获取大跨度桥梁线形形变,并研制了相应的测量设备,应用于某特大桥健康监测系统中。实验结果表明,所提方法的均方根误差为0.38 mm。在桥梁实验验证中,惯性相机测量大跨度桥梁线形形变与静力水准测量结果高度一致,相关系数均优于99.90%,相互较差为4.94 mm。所提方法能高精度实时测量大跨度桥梁线形形变,具有良好的工程价值。

     

    Abstract:
    Objectives The deformation measurement of long-span bridge alignment is of great significance to the assessment of bridge health and safety. The traditional deformation measurement methods of long-span bridge alignment, such as sensor and close range vision measurement, have shortcomings such as high measurement cost and limited measurement frequency, which are difficult to meet the requirements of high-precision measurement of deformation of long-span bridge alignment.
    Methods Combined with dynamic precision engineering measurement and machine vision technology, this paper proposes a method for measuring the deformation of long-span bridge alignment based on inertial cameras. The camera is used to take high-frequency images of bridge measurement targets. At the same time, the inertial sensors are used to correct the measurement errors caused by camera movement. The deformation of long-span bridge alignment is calculated through inertial cameras in series mode, and the corresponding measuring equipment is developed and applied to the health monitoring system of a super large bridge.
    Results The precision experiment results show that root mean square error of the proposed method is 0.38 mm. In engineering applications, the deformation of bridge alignment trend measured by the inertial camera is highly consistent with the static leveling results. The correlation coefficient is better than 99.90%, and the mutual difference is 4.94 mm.
    Conclusions The proposed method can measure the linear deformation of large span bridges with high accuracy and real-time, and has good engineering value.

     

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