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针对传统铁路桥梁检测手段的局限性,结合国内外无人机在桥梁检测方面的应用现状,设计了由数据采集、处理两个子系统构成的无人机巡检系统。本文介绍了两个子系统的组成,相机云台角度、镜头焦距、巡检距离等参数的选择依据,无人机图像拼接、病害自动识别和病害特征信息的计算处理方法。经现场试验,完成铁路桥梁两跨的检测仅需2 h,无人机巡检系统采集的图像数据清晰,数据处理算法满足需求;现场测量的裂缝均能被准确识别,检测值与现场实测值的长度误差不超过50 mm,宽度误差不超过0.1 mm。
Abstract：In view of the limitations of traditional railway bridge inspection methods,combined with the application status of UAV(Unmanned Aerial Vehicle) in bridge inspection at home and abroad,a UAV inspection system composed of two subsystems of data acquisition and processing was designed. The composition of the two subsystems was introduced,the selection basis of camera pan tilt angle,lens focal length,patrol distance and other parameters were explained. UAV image mosaic,automatic defect identification and the calculation and processing method of defect characteristic information were introduced. After field test,it only takes 2 hours to complete the inspection of two spans of railway bridge,the image data collected by UAV inspection system is clear,and the data processing algorithm meets the requirements. The cracks measured on site can be accurately identified,and the length error between the detection value and the measured value on site shall not exceed 50 mm,and the width error shall not exceed 0.1 mm.
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基本信息:
中图分类号:U446
引用信息:
[1]马学志,范剑雄,柴雪松,等.无人机巡检系统在铁路混凝土桥梁检测中的应用[J].铁道建筑,2021,61(12):76-80.
基金信息:
中国铁道科学研究院集团有限公司基金（2019YJ035）
2021-12-20
2021-12-20