精细化建模在特大桥维护检测中的应用

Application of refined modelling in maintenance and detection for extra large bridge

本文采用多型号旋翼无人机及挂载,运用倾斜摄影、贴近摄影等方法获取铁路特大桥梁主体及桥梁周边地势险峻区域环境的高分辨率、多角度影像;基于影像利用实景建模系统和云服务器实时地进行高精度实景三维模型生产;利用此类模型成果对特大桥的日常维护检查提供有效的数据支撑,弥补了现有检测手段的不足,提高了检查效率,降低人员风险。本文以云贵铁路南盘江特大桥为例,对上述技术方法进行探讨,对现有技术的不足和未来的发展进行相关的讨论。

In this paper, we use a variety of types of rotor UAVs and mounts by taking oblique photography, close photography, and other methods to obtain high-precision multi-angle images of the main bodies and the surrounding environments of the super railway bridges in steep terrain. Based on the images, we built the bridges’ high-precision realtime three-dimensional model using a realscene modeling system and cloud servers. Such model results can provide effective data support for the daily maintenance and inspection of super railway bridges. The proposed method can make up for the deficiencies of existing methods, improve inspection efficiency, and reduce personnel risks. In this paper, we applied the proposed method to inspect the Nanpanjiang Bridge on the Yunnan-Guizhou railway, and also discussed the disadvantages and developments of the method.