水下视频图像中挠性立管扭转检测

V. M. Cesar, B. Reis, M. G. Maia, J. Kelner, D. Sadok, J. M. T. Marinho
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引用次数: 0

摘要

当柔性管道承受高轴向载荷并暴露于二氧化碳和水的混合物中时,其金属护甲会腐蚀和破裂,导致扭曲变形,如果不加以处理,可能会导致崩溃。监测整个管道的扭转情况对于早期发现至关重要,但由于这些异常的微妙性质和视频片段的分析可能需要数小时,因此人工评估具有挑战性。本工作旨在通过提出一种算法,处理从标准管道检测程序获得的视频数据,并准确检测扭曲管道的部分,从而实现柔性管道扭曲检测的自动化。利用模拟数据验证了该算法,并成功检测到300mm管道上3mm量级的扭曲。实际数据的结果与专家的意见一致,但需要进一步发展以确保在其他设备和海洋生物存在的情况下的可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Flexible Pipe Riser Torsion Detection in Underwater Video Images
When flexible pipelines are subjected to high axial loads and exposed to a mixture of CO2 and water, their metallic armor can corrode and crack, leading to a twisting deformation that, if left untreated, may cause collapse. Monitoring the entire length of the pipeline for twisting is crucial for early detection, but manual assessment is challenging due to the subtle nature of these anomalies and the analysis of video footage might take hours. This work aims to automate the inspection of flexible pipeline twisting by proposing an algorithm that processes video data obtained from standard pipeline inspection procedures and accurately detects sections of twisted pipelines. The algorithm was validated using simulated data and successfully detected twisting of a magnitude of 3mm on a 300mm pipeline. Results on real data were shown to be consistent with experts’ opinion, however further development is required to ensure reliability in the presence of other equipment and marine life.
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