基于视频图像量测方法的码头水工结构安全状态评估*
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交通运输行业重点科技项目(2021-ZD1-007)


Video-image measurement method-based safety status assessment of wharf hydraulic structure
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    摘要:

    针对码头超等级靠泊引发的结构安全实时评估难题(现行静态检测技术存在响应滞后、位移分辨率不足等问题),提出一种基于视频图像评估船舶靠泊过程中水工结构实时变形量测方法,旨在解决船舶动力特性与结构动态响应的实时匹配难题。利用YOLOv5目标检测和DeepSORT目标跟踪计算船舶靠泊速度,采用Canny边缘检测与轮廓检测算法结合最小外接矩形法计算靠泊角度,利用视频图像监测方法获取变形量并计算反力。结果表明,靠泊速度计算值的平均误差为±0.165 kn,靠泊角度的计算值误差为±0.3°,反力的计算值与实测值的相对误差为7.67%,均满足实际应用要求。提出的基于视频图像分析的船舶靠泊安全评估技术,在检测和评估方面均表现出高效性和准确性,能够为码头靠泊安全提供全面、实时、准确的监测与评估。

    Abstract:

    In view of the problem of real-time assessment of structural safety caused by over-grade berthing at the wharf(the current static detection technology has problems such as response lag and insufficient displacement resolution),a real-time deformation measurement method of hydraulic structure during the ship berthing process on the basis of video-image is proposed,aiming to solve the problem of real-time matching between the dynamic characteristics of the ship and the dynamic response of the structure.The ship berthing speed is calculated by YOLOv5 object detection and DeepSORT object tracking.The berthing angle is calculated by combining the Canny edge detection and contour detection algorithm with the minimum circumscribed rectangle method.The deformation amount is obtained and the reaction force is calculated by the video image monitoring method.The results show that the average error of berthing speed calculated values is ±0.165 kn.The error of berthing angel calculated values is ±0.3°.The relative error between the counter-force calculated values and the counter-force measured values is 7.67%.All the calculated values meet the requirements of practical applications.The ship berthing safety assessment technology based on video image analysis proposed in this paper shows high efficiency and accuracy in both detection and assessment,and can provide comprehensive,real-time and accurate monitoring and assessment for wharf berthing safety.

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谢殿武,汪承志.基于视频图像量测方法的码头水工结构安全状态评估*[J].水运工程,2025(8):185-194.

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  • 在线发布日期: 2025-08-18
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