Department of Civil and Environmental Engineering, North Dakota State University, Fargo, ND 58108, USA.
Sensors (Basel). 2020 Sep 1;20(17):4941. doi: 10.3390/s20174941.
A non-contact vision sensor system for monitoring structural displacements with advanced Zernike subpixel edge detection technique is suggested in this paper. Edge detection can detect features of objects effectively without using templates. Subpixel techniques provide more accurate and cost-effective results when compared to integer pixel methods. Built on these two techniques, a new version sensor method was developed to detect the vibrations of structures in this study. Satisfactory agreements were found between the displacements measured by the vision sensor system and those recorded by the Multipurpose Testing System (MTS). A field test was then carried out on a street sign using the proposed vision system. Satisfactory results were obtained using the new version of the sensor system at many points simultaneously without any manually marked targets. Moreover, the system was able to provide natural frequencies and mode shapes of the target instantaneously, which could be used to accurately locate damage.
本文提出了一种基于先进的泽尼克亚像素边缘检测技术的非接触视觉传感器系统,用于监测结构位移。边缘检测无需使用模板即可有效地检测物体的特征。与整像素方法相比,亚像素技术提供了更准确和更具成本效益的结果。基于这两种技术,本研究开发了一种新的传感器方法来检测结构的振动。通过视觉传感器系统测量的位移与多用途测试系统(MTS)记录的位移之间发现了令人满意的一致性。然后,使用提出的视觉系统对一个路牌进行了现场测试。在没有任何手动标记目标的情况下,新版本的传感器系统在许多点同时获得了令人满意的结果。此外,该系统能够即时提供目标的固有频率和模态形状,可用于精确定位损伤。