机械工程学报 ›› 2023, Vol. 59 ›› Issue (16): 167-181.doi: 10.3901/JME.2023.16.167
于宗营1, 沈功田2, 赵章焰1, 吴占稳2, 刘渊2
收稿日期:
2022-08-25
修回日期:
2023-03-05
出版日期:
2023-08-20
发布日期:
2023-11-15
通讯作者:
沈功田(通信作者),男,1963年出生,博士,研究员,博士研究生导师。主要研究方向为特种设备安全与无损检测新技术。E-mail:shengongtian@csei.org.cn
作者简介:
于宗营,男,1985年出生,博士研究生。主要研究方向为视觉结构状态监测、检测与健康管理。E-mail:ying04_@whut.edu.cn;赵章焰,男,1963年出生,博士,教授,博士研究生导师。主要研究方向为大型机械结构高精度摄影测量及其自动建模理论与方法、金属结构抗疲劳设计与安全评价。E-mail:zzy63277@163.com
基金资助:
YU Zongying1, SHEN Gongtian2, ZHAO Zhangyan1, WU Zhanwen2, LIU Yuan2
Received:
2022-08-25
Revised:
2023-03-05
Online:
2023-08-20
Published:
2023-11-15
摘要: 在生产生活中,设备设施结构安全对保障国家经济运行和人民日常生活至关重要。结构健康监测能够有效的提高设备设施结构的安全性和稳定性。随着计算机视觉测量技术的发展和硬件水平的提升,基于计算机视觉测量的结构健康监测技术受到越来越多的关注。计算机视觉测量已经被广泛应用于结构的表面缺陷、空间坐标、位移、拉索索力等监测领域中,但是在大型游乐设施的结构健康监测中应用较少。介绍计算机视觉概况,综述了研究进展并进行了应用展望。首先,通过时间顺序梳理了计算机视觉的发展历程;然后概述了计算机视觉测量的硬件组成和软件组成部分,指出各组成部分的主要特征;主要分类介绍计算机视觉测量技术在各领域的应用现状,并与传统测量方法对比分析,概括各种方法的特点和不足;最后对计算机视觉测量技术在大型游乐设施结构健康监测中的应用做出展望,指出了计算机视觉测量技术在大型游乐设施结构健康监测中的主要研究方向和重点任务。
中图分类号:
于宗营, 沈功田, 赵章焰, 吴占稳, 刘渊. 计算机视觉结构健康监测的研究进展及在大型游乐设施上的应用展望[J]. 机械工程学报, 2023, 59(16): 167-181.
YU Zongying, SHEN Gongtian, ZHAO Zhangyan, WU Zhanwen, LIU Yuan. Advances in Research of Computer Vision Structural Health Monitoring and Its Application Prospect in Large Amusement Rides[J]. Journal of Mechanical Engineering, 2023, 59(16): 167-181.
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