基于无人机的公路边坡巡检技术研究  

Research on Highway Slope Inspection Yechnology Based on UAV

作　　者：柴香 张帅 周鹏 冯镇宇 刘滋源 CHAI Xiang;ZHANG Shuai;ZHOU Peng;FENG Zhenyu;LIU Ziyuan(Chongqing Jiaotong University,Chongqing 400074,China;Beijing Key Laboratory of Urban Spatial Information Engineering,Beijing 100038,China;Chongqing Institute of Geology and Mineral Resources,Chongqing 400042,China;Huichuan District Bureau of Natural Resources,Zunyi,Guizhou 563000,China;Guangxi Beidouxing Surveying and Mapping Technology Co.,Ltd.Southwest Branch,Chongqing 409000,China)

机构地区：[1]重庆交通大学,重庆400074 [2]城市空间信息工程北京市重点实验室,北京100038 [3]重庆地质矿产研究院,重庆400042 [4]遵义市汇川区自然资源局,贵州遵义563000 [5]广西北斗星测绘科技有限公司西南分公司,重庆409000

出　　处：《地理空间信息》2022年第12期113-116,共4页Geospatial Information

基　　金：城市空间信息工程北京市重点实验室经费资助项目(2020211)。

摘　　要：以重庆市广阳镇东港园区内一号边坡为实验测区,提出一套整体巡检和精细巡检协同作业的巡检模式,将精细巡检中发现的病害信息在整体巡检模型成果中加以标记,有利于后期针对特殊病害位置实施定点防护,以确保边坡安全;结合测区实际工程情况,对其边坡安全等级进行判定;实现了测区模型的Web端可视化,模型数据的实时预览将有利于巡检工作的安全开展。Taking the No.1 slope in Donggang Park of Guangyang Town in Chongqing City as the test area,we proposed a set of inspection mode of overall inspection and fine inspection.The disease information found in the fine inspection was marked in the results of overall inspection model,which was conducive to the later implementation of fixed-point protection for special disease location,so as to ensure the safety of slope.Combining with the actual engineering situation of the survey area,we determined the safety grade of slope.The real-time preview of model data can be conducive to the safe development of inspection work.

关 键 词：无人机 边坡巡检 边坡安全等级 WEB可视化 

分 类 号：P231[天文地球—摄影测量与遥感]