桥梁作为道路交通的重要组成部分,需要在使用过程中定期检测维修,其中桥梁裂缝宽度是一项重要检测指标。传统裂缝宽度检测需要特种车辆占据固定车道,影响交通且成本较高。以旋翼无人机为平台,加入距离传感器和相关防护措施,以贴近摄影方式采集桥梁裂缝图像信息,经图像处理、修正和专业仪器校准后,计算得到裂缝宽度。通过对实际裂缝宽度检测,并与传统检测方式比较,检测结果表明无人机贴近摄影方式可满足0.2 mm以上桥梁裂缝宽度识别要求,实现了低成本检测,具有一定应用前景。
Abstract
As an important part of road traffic, bridges need to be regularly inspected and maintained during their service life. Among them, the crack width of bridges is an important inspection index. Traditional crack width detection requires special vehicles to occupy fixed lanes, which affects traffic and incurs high costs. In this paper, a rotor UAV is used as the platform, and a distance sensor and relevant protective measures are added. The image information of bridge cracks is collected through close proximity photography. After image processing, correction, and calibration with professional instruments, the crack width is calculated. Through the detection of the actual crack width and comparison with the traditional detection method, it is shown that the UAV close proximity photography method can meet the identification requirements for the crack width of bridges larger than 0.2 mm, realizes low-cost detection, and has certain application prospects.
关键词
无人机 /
贴近摄影 /
距离传感器 /
裂缝宽度
Key words
UAV /
close proximity photography /
distance sensor /
crack width
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基金
河南省科技攻关项目,项目编号：252102241019; 河南省高等学校重点科研项目,项目编号：25B510005; 河南省教学改革研究与实践项目,项目编号：2024 SJGLX0951
