Development of a portable device for structural visual inspection

IF 8.5 1区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Jongbin Won, Minhyuk Song, Jongwoong Park
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引用次数: 0

Abstract

Visual inspection is crucial for the maintenance of built infrastructures, facilitating early detection and quantification of damage. Traditional manual methods, however, often require inspectors to access dangerous or inaccessible areas, posing significant safety risks and inefficiencies. In response to these challenges, this paper introduces a portable visual inspection device (VID) integrated with three laser distance meters and a high-resolution camera. The VID enhances the efficiency of visual inspection by incorporating methods that accurately estimate the camera's pose relative to the target surface and determine a scale factor for precise damage quantification. The proposed methods were validated through experimental validations, demonstrating their precision and effectiveness. In lab-scale validation, the angle estimation showed accuracy with less than 3 degrees of error, and the scale factor estimation method showed discrepancies of less than 1 mm, even when the observation angle exceeded 20 degrees. Subsequent field experiments confirmed the VID's capability to detect and measure microcracks as narrow as 0.1 mm. Furthermore, the device successfully quantified non-crack damage with an error margin of 1.84%, even at challenging angles exceeding 45 degrees.

Abstract Image

目视检查对于维护已建基础设施至关重要,有助于及早发现和量化损坏情况。然而,传统的人工方法往往要求检测人员进入危险或无法进入的区域,从而带来了巨大的安全风险和低效率。为了应对这些挑战,本文介绍了一种集成了三个激光测距仪和一个高分辨率摄像头的便携式视觉检测设备(VID)。VID 采用了多种方法,可准确估算摄像头相对于目标表面的姿态,并确定比例因子,从而精确量化损坏程度,从而提高了视觉检测的效率。所提出的方法通过实验验证,证明了其精确性和有效性。在实验室规模的验证中,角度估算的精度误差小于 3 度,而比例因子估算方法的误差小于 1 毫米,即使观测角度超过 20 度。随后的现场实验证实,VID 能够检测和测量窄至 0.1 毫米的微裂缝。此外,即使在观察角度超过 45 度的情况下,该设备也能成功量化非裂纹损伤,误差率仅为 1.84%。
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来源期刊
CiteScore
17.60
自引率
19.80%
发文量
146
审稿时长
1 months
期刊介绍: Computer-Aided Civil and Infrastructure Engineering stands as a scholarly, peer-reviewed archival journal, serving as a vital link between advancements in computer technology and civil and infrastructure engineering. The journal serves as a distinctive platform for the publication of original articles, spotlighting novel computational techniques and inventive applications of computers. Specifically, it concentrates on recent progress in computer and information technologies, fostering the development and application of emerging computing paradigms. Encompassing a broad scope, the journal addresses bridge, construction, environmental, highway, geotechnical, structural, transportation, and water resources engineering. It extends its reach to the management of infrastructure systems, covering domains such as highways, bridges, pavements, airports, and utilities. The journal delves into areas like artificial intelligence, cognitive modeling, concurrent engineering, database management, distributed computing, evolutionary computing, fuzzy logic, genetic algorithms, geometric modeling, internet-based technologies, knowledge discovery and engineering, machine learning, mobile computing, multimedia technologies, networking, neural network computing, optimization and search, parallel processing, robotics, smart structures, software engineering, virtual reality, and visualization techniques.
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