| 摘要: | 研究期間：10305~10312;There are 29,000 bridges in Taiwan. These bridges are managed by Taiwan Area National Freeway Bureau, Taiwan Railways Adminstration, and county governments. Based on several mantenance manuals regarding freeways, bridge inspection could be divided into general inspection, regular inspection and special inspection. For the general inspection, bridge managers should ensure the smooth of freeways. For regular inspection, bridge managers should observe the conditions of bridge components so that the safety of bridges could be confirmed. For the special inspection, bridge managers should check the conditions of bridges after some important hazards or events. In sum, bridge inspection depends on visual observation. When bridge managers investigate some bridges that cross rivers and mountains, they could apply specific vehicles during bridge inspection. However, these vehicles are big. Thus, the operation time and cost are high. In other words, the efficiency of bridge inspection should be improved. Associated with the rapid growth of information technology, various new equipments and techniques are also used in bridge inspection, such as small-size vehicles, aerial vehicles, 3D laser, and image recognition. For the aforementioned purpose, this study will evaluate the related techniques. In the meantime, based on the safety of bridge sites, the efficiency of bridge inspection, and the completion of data collection, this study attempts to apply Unmanned Aerial Vehicles (UAV) in bridge inspection. This study would offer an automatic imagery collection system regarding bridge components. This system is easy to use and requires low cost. In the future, this system could be integrated with the second-generation Taiwan Bridge Management System (TBMS2). Therefore, the efficiency of bridge inspection would be clearly increased. |
