Abstract

Unmanned Aerial Vehicles (UAV) technology has found its way into several civilian applications in the last 20 years, predominantly due to lower cost and tangible scientific improvements. In its application to structural bridge inspection, UAVs provide two main functions. The first, being the most common, detect damage through visual sensors. The 2 D image data can be used to quickly establish a basic knowledge of the structure's condition and is usually the first port of call. The second reconstructs 3D models to provide a permanent record of geometry for each bridge asset, which could be used for navigation and control purposes. However, there are various types of hazards and risks associated with the use of UAVs for bridge inspection, in particular, in a cold operating environment. In this study, a systematic methodology, which is an integration of hazard identification, expert judgment, and risk assessment for preliminary hazard analysis (PHA) in the UAV-assisted bridge inspection system is proposed. The proposed methodology is developed and exemplified via UAV-assisted inspection of Grimsøy bridge, a 71.3 m concrete bridge, located in the Viken county in eastern Norway.

摘要

在过去的20年中，无人飞行器（UAV）技术已进入多种民用应用，这主要是由于成本降低和科学上的切实改进。无人机在结构桥梁检查中的应用提供了两个主要功能。最常见的第一种是通过视觉传感器检测损坏。二维图像数据可用于快速建立结构状况的基本知识，通常是呼叫的第一站。第二个重建3D模型以提供每个桥梁资产的永久几何记录，可用于导航和控制目的。但是，使用无人机进行桥梁检查存在多种危险和风险，特别是在寒冷的操作环境中。在这项研究中，系统的方法 提出了将危险性识别，专家判断和风险评估相结合的无人机辅助桥梁检查系统中的初步危险性分析（PHA）的方法。通过无人机辅助检查位于挪威东部维肯县的71.3 m混凝土桥Grimsøy桥，开发并举例说明了所建议的方法。