Department of Architectural Design, College of Engineering Science, Chonnam National University, Gwangju 59626, Korea.
Joong Ang ENR Co., Ltd., Seoul 05645, Korea.
Sensors (Basel). 2022 Apr 3;22(7):2762. doi: 10.3390/s22072762.
The development of unmanned aerial vehicles (UAVs) is expected to become one of the most commercialized research areas in the world over the next decade. Globally, unmanned aircraft have been increasingly used for safety surveillance in the construction industry and civil engineering fields. This paper presents an aerial image-based approach using UAVs to inspect cracks and deformations in buildings. A state-of-the-art safety evaluation method termed SMART SKY EYE (Smart building safety assessment system using UAV) is introduced; this system utilizes an unmanned airplane equipped with a thermal camera and programmed with various surveying efficiency improvement methods, such as thermography, machine-learning algorithms, and 3D point cloud modeling. Using this method, crack maps, crack depths, and the deformations of structures can be obtained. Error rates are compared between the proposed and conventional methods.
未来十年，无人飞行器 (UAV) 的发展有望成为世界上最商业化的研究领域之一。在全球范围内，无人飞行器已越来越多地用于建筑和土木工程领域的安全监测。本文提出了一种基于航拍图像的方法，使用 UAV 来检测建筑物的裂缝和变形。本文介绍了一种最先进的安全评估方法，称为 SMART SKY EYE（使用 UAV 的智能建筑安全评估系统），该系统利用配备热像仪的无人机，并结合各种提高测量效率的方法，如热成像、机器学习算法和 3D 点云建模。使用这种方法，可以获得裂缝图、裂缝深度和结构变形。比较了所提出的方法和传统方法的错误率。
