计算机视觉和图像处理在结构健康监测中的最新应用综述

Signals Pub Date : 2023-07-24 DOI:10.3390/signals4030029
Claudia Ferraris, G. Amprimo, G. Pettiti
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引用次数: 0

摘要

结构恶化是一个主要的长期问题,由材料磨损、事件、募捐和灾害引起,它们会逐渐损害水泥结构的完整性,直到它突然倒塌,成为对公众的潜在危险。多年来,人工目视检查一直是唯一可行的结构健康监测(SHM)解决方案。技术的进步导致了传感器和设备的发展,这些传感器和设备适用于使用自动化或半自动方法早期检测结构和材料的变化。最近,基于计算机视觉、成像和视频信号分析的解决方案在SHM中获得了发展势头,这是由于处理和存储性能的提高,易于监控不可接近区域的能力(例如,通过无人机和机器人),以及人工智能的最新进展,推动了自动识别和分类过程。本文总结了最近的研究(2018-2022),这些研究提出了基于光学设备、计算机视觉和图像处理方法的基础设施SHM解决方案。初步的分析揭示了最初的细分为两个宏观类别:实现视觉系统的研究和访问图像数据集的研究。然后对每项研究进行更详细的分析,以提供与目标结构、监测类型、仪器和数据源、方法方法和主要结果相关的定性描述,从而对SHM的最新应用提供更全面的概述,并促进研究之间的比较。
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Computer Vision and Image Processing in Structural Health Monitoring: Overview of Recent Applications
Structural deterioration is a primary long-term concern resulting from material wear and tear, events, solicitations, and disasters that can progressively compromise the integrity of a cement-based structure until it suddenly collapses, becoming a potential and latent danger to the public. For many years, manual visual inspection has been the only viable structural health monitoring (SHM) solution. Technological advances have led to the development of sensors and devices suitable for the early detection of changes in structures and materials using automated or semi-automated approaches. Recently, solutions based on computer vision, imaging, and video signal analysis have gained momentum in SHM due to increased processing and storage performance, the ability to easily monitor inaccessible areas (e.g., through drones and robots), and recent progress in artificial intelligence fueling automated recognition and classification processes. This paper summarizes the most recent studies (2018–2022) that have proposed solutions for the SHM of infrastructures based on optical devices, computer vision, and image processing approaches. The preliminary analysis revealed an initial subdivision into two macro-categories: studies that implemented vision systems and studies that accessed image datasets. Each study was then analyzed in more detail to present a qualitative description related to the target structures, type of monitoring, instrumentation and data source, methodological approach, and main results, thus providing a more comprehensive overview of the recent applications in SHM and facilitating comparisons between the studies.
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CiteScore
3.20
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0.00%
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审稿时长
11 weeks
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