摘要
我国有巨大的桥梁运维需求,而传统的钢结构桥梁安全检查方式主要为人工巡检,其因存在效率低下、危险性高等问题已难以满足日益增长的桥梁运维需求。近年来,计算机视觉技术逐渐进入桥梁安全检查领域,其因具有成本低、效率高、智能化的特点得到了广泛应用。从计算机视觉技术的图像信息采集和病害识别两个方面入手,对近年来国内外的研究成果进行总结,包括不同的钢结构桥梁表面视觉信息获取方案和不同的裂缝识别算法,最后对计算机视觉技术在桥梁安全检查中的应用进行了总结与展望。
China has a huge demand for bridge operation and maintenance.The traditional bridge safety inspection method is mainly manual inspection,which is difficult to meet the growing demand of bridge operation and maintenance due to low efficiency and high danger.In recent years,computer vision technology has gradually entered the bridge safety inspection field and widely used because of low cost,high efficiency and intelligence.Two aspects of image information acquisition and disease image recognition of computer vision technology are introduced in this paper.The research results are summarized at home and abroad in recent years,including different bridge surface visual information acquisition schemes and different crack recognition algorithms.Finally,the application of computer vision technology in bridge safety inspection is summarized and prospected.
作者
岳岩
刘宇飞
Yue Yan;LiuYufei(Department of Civil Engineering,Tsinghua University,Beijing 100084,China)
出处
《市政技术》
2023年第8期9-16,共8页
Journal of Municipal Technology
基金
国家自然科学基金(52192662)。
关键词
桥梁安全检查
计算机视觉
图像采集
裂缝识别
bridge safety inspection
computer vision
image acquisition
crack detection