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基于无人机视觉的过河管道巡检技术应用

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为克服传统巡检技术风险高、成效低、成本高的缺点,利用无人机搭载高清摄像头,获取过河管道巡检图像并进行预处理;采用深度学习、图像识别、特征点匹配与三维重构技术,可实现对管道缺陷及空间距离快速识别与精准测量,显著提升巡检效率和质量.
Application of Inspection Technology for River Crossing Pipelines Based on UAV Vision
For the purpose of overcoming the defect of traditional inspection technology such as high risk,low effectiveness and high cost,the Unmanned Aerial Vehicle(UAV) is equipped with high-definition camera to obtain inspection images of river crossing pipelines and conduct pre-processing. The use of deep learning,image recognition,feature point matching and three-dimensional reconstruction can achieve rapid identification and accurate measurement of pipeline defects and spatial distances,significantly improving inspection efficiency and quality.

pipeline inspectionUnmanned Aerial Vehicle(UAV) visionthree-dimensional reconstructiondefect identificationimage processing

乔丹、王湛亮、高跃宏

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南通水务集团有限公司,江苏 南通 226000

管道巡检 无人机视觉 三维重构 缺陷识别 图像处理

2024

供水技术
天津市自来水集团有限公司

供水技术

影响因子:0.293
ISSN:1673-9353
年,卷(期):2024.18(4)