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Crack Detection Assisted by an Unmanned Aerial Vehicle for Wonjudaegyo Bridge in Korea

机译:韩国无人驾驶飞行器辅助的裂缝检测

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摘要

Since the 1970s, Korea has achieved exponential economic growth over a short period of time, with a huge amount of infrastructure built. However, 30 years on, this infrastructure is now deteriorating at a rapid pace due to extensive use and climatic factors, raising safety issues in recent years. The current task force faces limitations in monitoring and maintenance due to various reasons: Insufficient budget, increasing number of infrastructure facilities requiring maintenance, shortage of manpower, and a rapidly increasing number of aging infrastructure facilities. To overcome these limitations, a new approach is required that is different from the manual inspection methods under the existing rules and regulations. In this context, this study aimed to explore the efficiency of bridge inspection for cracks by an Unmanned Aerial Vehicle (UAV) that could observe inaccessible areas, could be conveniently and easily controlled, and could offer high economic benefits. A case study of UAV-based crack detection for Wonjudaegyo Bridge, Korea was performed. The results show more effective detection of cracks in the structure than traditional methods.
机译:自20世纪70年代以来,韩国在短时间内取得了指数经济增长,建成了大量基础设施。然而,30年来,由于广泛的使用和气候因素,这一基础设施现在迅速恶化,近年来提高了安全问题。目前的任务力面临由于各种原因的监测和维护的限制:预算不足,越来越多的基础设施设施,需要维护,人力短缺,以及衰老的基础设施的迅速增加。为了克服这些限制,需要一种与现行规则和法规下的手动检查方法不同的新方法。在这种情况下,本研究旨在探讨一个无人机(UAV)探讨裂缝的桥梁检查效率,可以观察到无法访问的地区,可以方便,轻松地控制,并可提供高的经济效益。对韩国韩国无人团基于UV的裂缝检测案例研究。结果表明,比传统方法更有效地检测结构中的裂缝。

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