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COMPLEX BRIDGE INSPECTION WITH UNMANNED AERIAL VEHICLES

机译:使用无人驾驶车辆进行复杂的桥梁检查

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ARE annually inspects approximately 20,000 bridge spans nationwide for its rail clients and realizes a need to more effectively inspect large, complex bridges. In January 2018, ARE acquired a highly experienced small Unmanned Aerial Systems (sUAS) company pioneering their use across industries using specialized equipment with high-definition, top and bottom-mounted sensors. ARE's deployment of multi-disciplined teams supplemented with sUAS has fundamentally changed the way large scale, complex bridge inspections are completed, resulting in safer and more efficient inspections. ARE annually inspects the Ohio River Bridge spanning from OH to WV. This bridge consists of 20 decl plate girder approach spans, leading into 5 through truss spans over the river, and an additional 37 dec plate girder approach spans and a final, single through plate girder. Historically, this bridge has been inspected over several days with the use of a boom "snooper" truck for access under the approach spa and the truss spans. However, access is limited for a "snooper" under through trusses due to their structural nature. The use of sUAS allowed inspectors to access the underside of the through trusses using a top-mounted high definition camera and taking photos and videos of difficult to reach critical flo< system connection points. This paper discusses the planning, deployment, and on-site setup required to perform a successful inspection using sUAS, along with current limitations and potential future technology advancements.
机译:ARE每年为其铁路客户检查全国大约20,000座桥梁,并意识到需要更有效地检查大型复杂桥梁。在2018年1月,ARE收购了一家经验丰富的小型无人机系统(sUAS)公司,通过配备高清,顶部和底部安装传感器的专用设备,在各个行业中率先使用它们。 ARE部署了由sUAS补充的多学科团队,从根本上改变了完成大型复杂桥梁检查的方式,从而实现了更安全,更高效的检查。 ARE每年检查从OH到WV的俄亥俄河大桥。这座桥由20个倾斜的板梁引桥跨度组成,通向整个河段的5个桁架跨度,另外还有37个dec的板梁引桥跨度和一个最终的单通板梁。从历史上看,使用悬臂“窥探器”卡车对该桥进行了数天的检查,以便在进近水疗中心和桁架跨度下进入。但是,由于“ snooper”的结构性质,在“ snooper”下只能通过桁架进入。 sUAS的使用使检查人员可以使用顶部安装的高清摄像头并难以到达关键的系统连接点的照片和视频访问通入桁架的底部。本文讨论了使用sUAS进行成功检查所需的计划,部署和现场设置,以及当前的局限性和潜在的未来技术发展。

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