| 基于无人机的路桥病害检测系统 |
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| 引用本文： | 缑永涛,李文博,段学锋.基于无人机的路桥病害检测系统[J].测绘通报,2022,0(12):141. |
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| 作者姓名： | 缑永涛 李文博 段学锋 |
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| 作者单位： | 1. 宁夏交投高速公路管理有限公司, 宁夏 银川 750000;2. 宁夏回族自治区公路桥梁隧道养护技术创新中心, 宁夏 银川 750000;3. 恒华数元科技(天津)有限公司, 天津 300010 |
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| 基金项目： | 宁夏回族自治区重点研发计划（2021BEG02017-01） |
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| 摘 要： | 针对桥梁病害检测效率低下、成本高、人为检测范围存在疏漏、人工作业安全隐患等问题，本文基于无人机巡航，设计并实现了一种路桥病害检测系统，拥有自主避障、路桥病害探测及自主巡航定位等功能；同时开发了具有可视化集成功能的桌面端控制系统，与云服务平台有机结合使操作更加直观便捷，从而将监测信息地图化显示并实时更新，为路桥资产管养与病害检测提供了技术基础。
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| 关 键 词： | 无人机 路桥病害 三维地理信息系统 图像处理 |
| 收稿时间： | 2022-09-27 |
Road and bridge disease detection system based on UAV |
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| GOU Yongtao,LI Wenbo,DUAN Xuefeng.Road and bridge disease detection system based on UAV[J].Bulletin of Surveying and Mapping,2022,0(12):141. |
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| Authors: | GOU Yongtao LI Wenbo DUAN Xuefeng |
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| Institution: | 1. Ningxia Communications Investment Expressway Management Co., Ltd., Yinchuan 750000, China;2. Ningxia Hui Autonomous Region Road Bridge Tunnel Maintenance Technology Innovation Center, Yinchuan 750000, China;3. Forever Technology (Tianjin) Co., Ltd., Tianjin 300010, China |
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| Abstract: | In view of the problems of low efficiency, high cost, omission in the scope of human detection, and safety of manual operation in bridge disease detection, this paper designs and implements a road and bridge disease detection system based on UAV cruise, which has the functions of autonomous obstacle avoidance, road and bridge disease detection, and autonomous cruise positioning. At the same time, a desktop control system with visual integration function has been developed, which is organically combined with the cloud service platform to make the operation more intuitive and convenient. Monitoring information can be mapped and updated in real time, providing a technical data basis for road and bridge asset management and disease detection. |
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| Keywords: | UAV road and bridge disease 3D GIS image process |
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