Carter Elliott, Sakr Micheal, Sadhu Ayan
Department of Software Engineering, Western University, London, ON N6A 5B9, Canada.
Department of Civil and Environmental Engineering, Western University, London, ON N6A 5B9, Canada.
Sensors (Basel). 2024 Mar 1;24(5):1609. doi: 10.3390/s24051609.
In the era of aging civil infrastructure and growing concerns about rapid structural deterioration due to climate change, the demand for real-time structural health monitoring (SHM) techniques has been predominant worldwide. Traditional SHM methods face challenges, including delays in processing acquired data from large structures, time-intensive dense instrumentation, and visualization of real-time structural information. To address these issues, this paper develops a novel real-time visualization method using Augmented Reality (AR) to enhance vibration-based onsite structural inspections. The proposed approach presents a visualization system designed for real-time fieldwork, enabling detailed multi-sensor analyses within the immersive environment of AR. Leveraging the remote connectivity of the AR device, real-time communication is established with an external database and Python library through a web server, expanding the analytical capabilities of data acquisition, and data processing, such as modal identification, and the resulting visualization of SHM information. The proposed system allows live visualization of time-domain, frequency-domain, and system identification information through AR. This paper provides an overview of the proposed technology and presents the results of a lab-scale experimental model. It is concluded that the proposed approach yields accurate processing of real-time data and visualization of system identification information by highlighting its potential to enhance efficiency and safety in SHM by integrating AR technology with real-world fieldwork.
在民用基础设施老化以及人们对气候变化导致结构快速恶化的担忧日益增加的时代，对实时结构健康监测（SHM）技术的需求在全球范围内占据主导地位。传统的结构健康监测方法面临诸多挑战，包括处理来自大型结构的采集数据时的延迟、耗时的密集仪器安装以及实时结构信息的可视化。为了解决这些问题，本文开发了一种使用增强现实（AR）的新型实时可视化方法，以加强基于振动的现场结构检查。所提出的方法展示了一种为实时实地工作设计的可视化系统，能够在增强现实的沉浸式环境中进行详细的多传感器分析。利用增强现实设备的远程连接功能，通过网络服务器与外部数据库和Python库建立实时通信，扩展了数据采集和数据处理（如模态识别）的分析能力，以及结构健康监测信息的可视化效果。所提出的系统允许通过增强现实对时域、频域和系统识别信息进行实时可视化。本文概述了所提出的技术，并展示了实验室规模实验模型的结果。得出的结论是，通过将增强现实技术与实际现场工作相结合，所提出的方法能够准确处理实时数据并可视化系统识别信息，突出了其在结构健康监测中提高效率和安全性的潜力。
