Computer Science and Electrical Engineering, Faculty of Telecommunications, University of Science and Technology in Bydgoszcz, Al. prof. S. Kaliskiego 7, 85-796 Bydgoszcz, Poland.
Faculty of Civil and Environmental Engineering, Gdansk University of Technology, Gabriela Narutowicza 11/12, 80-233 Gdansk, Poland.
Sensors (Basel). 2020 Jan 27;20(3):700. doi: 10.3390/s20030700.
The monitoring of a structural condition of steel bridges is an important issue. Good condition of infrastructure facilities ensures the safety and economic well-being of society. At the same time, due to the continuous development, rising wealth of the society and socio-economic integration of countries, the number of infrastructural objects is growing. Therefore, there is a need to introduce an easy-to-use and relatively low-cost method of bridge diagnostics. We can achieve these benefits by the use of Unmanned Aerial Vehicle-Based Remote Sensing and Digital Image Processing. In our study, we present a state-of-the-art framework for Structural Health Monitoring of steel bridges that involves literature review on steel bridges health monitoring, drone route planning, image acquisition, identification of visual markers that may indicate a poor condition of the structure and determining the scope of applicability. The presented framework of image processing procedure is suitable for diagnostics of steel truss riveted bridges. In our considerations, we used photographic documentation of the Fitzpatrick Bridge located in Tallassee, Alabama, USA.
钢桥结构状况监测是一个重要问题。基础设施的良好状况确保了社会的安全和经济福祉。同时，由于不断发展、社会财富不断增加以及国家的社会经济一体化，基础设施的数量不断增加。因此，需要引入一种易于使用且相对低成本的桥梁诊断方法。我们可以通过使用基于无人机的遥感和数字图像处理来实现这些好处。在我们的研究中，我们提出了一个用于钢桥结构健康监测的最新框架，该框架涉及钢桥健康监测的文献综述、无人机航线规划、图像采集、识别可能表明结构状况不佳的视觉标记以及确定适用范围。所提出的图像处理程序框架适用于钢桁架铆接桥梁的诊断。在我们的考虑中，我们使用了位于美国阿拉巴马州塔拉萨的菲茨帕特里克大桥的摄影记录。
