基于增强现实的实时可视化用于结构模态识别
Elliott Carter1, Micheal Sakr2, Ayan Sadhu3
1Department of Software Engineering, Western University, London, ON N6A 5B9, Canada.
Sensors (Basel, Switzerland)
|March 13, 2024
概括
本研究引入了一个增强现实 (AR) 系统,用于实时结构性健康监测 (SHM). 它通过可视化复杂的结构数据来增强现场检查,提高效率和安全.
科学领域:
- 土木工程 土木工程是指土木工程.
- 计算机科学 计算机科学
- 结构健康监测 结构健康监测
背景情况:
- 老化的基础设施需要先进的结构健康监测 (SHM).
- 传统的SHM方法与数据处理延迟,密集的仪器和实时可视化作斗争.
- 气候变化加剧了结构性恶化,增加了对有效监测的需求.
研究的目的:
- 开发一种新的实时可视化方法,使用增强现实 (AR) 进行现场结构检查.
- 克服传统的SHM技术在数据处理和可视化方面的局限性.
- 提高结构性健康监测现场工作的效率和安全性.
主要方法:
- 开发了一个实时可视化系统,利用增强现实 (AR).
- 集成的AR设备与外部数据库和Python库通过Web服务器进行增强的数据分析.
- 在AR环境中启用了时间域,频域和系统识别数据的实时可视化.
主要成果:
- 拟议的AR系统可在沉浸式现场工作环境中进行详细的多传感器分析.
- 实现了准确的实时数据处理和系统识别信息的可视化.
- 实验室规模的实验模型验证了基于AR的SHM方法的有效性.
结论:
- 整合AR技术与现场工作显著提高了结构性健康监测的效率和安全性.
- 开发的系统提供了准确的实时数据处理和可视化功能.
- 这种新的方法为监测老化的民用基础设施所面临的挑战提供了一个有希望的解决方案.
相关概念视频
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01:28Internal Loadings in Structural Members: Problem Solving
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01:20Mesh Analysis
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01:29Three-Dimensional Analysis of Strain
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01:15Deformation of a Beam under Transverse Loading
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01:30Bending Moment Diagram
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