ISSN 1671-1092 CN 33-1260/TK

大坝与安全 ›› 2024 ›› Issue (6): 41-45,67.

• 设计研究 • 上一篇    下一篇

基于无人机倾斜摄影的混凝土坝变形组合预测模型构建

董 伟   

  1. 浙江省测绘科学技术研究院,浙江 杭州,310030
  • 收稿日期:2024-01-04 出版日期:2024-12-15 发布日期:2025-03-07
  • 作者简介:董 伟(1982—),男,河南信阳人,高级工程师,主 要从事测绘地理信息工程管理工作。

Construction of a combined prediction model for concrete dam deformation based on drone oblique photography

DONG Wei   

  1. Zhejiang Academy of Surveying and Mapping
  • Received:2024-01-04 Online:2024-12-15 Published:2025-03-07

摘要: 受水压和温度变化的影响,混凝土坝存在变形组合预测精度低的问题。为此,构建了基于无人机倾斜摄 影的混凝土坝变形组合预测模型。该模型根据摄影几何原则计算水平距离,修正镜头畸变,获取坐标。利用SIFT 特征域提取图像局部特征,构建三维模型,并计算组合预测均方根误差,获取变权组合预测值。设计预测流程,以 实现实时预测。实例结果显示,该模型水平位移预测结果准确,竖向位移预测误差最大0.5 mm,具有精准预测效果。

关键词: 无人机倾斜摄影, 混凝土坝, 变形组合预测, 最小二乘法

Abstract: Concrete dams are affected by changes of water pressure and temperature, resulting in low ac⁃ curacy of combined prediction of deformation. To address this issue, a combined prediction model for concrete dam deformation based on drone oblique photography is constructed. This model calculates the horizontal distance based on the geometric principle of photography, corrects lens distortion and obtains the coordinates. Based on the SIFT feature domain, the local features of the image are extracted, a threedimensional model is constructed, the root mean square error of combined prediction is calculated, and the combined predictive values of variable weights are obtained. The prediction process is designed to realize real-time prediction. The practice results show that the horizontal displacement prediction is ac⁃ curate, and the vertical displacement prediction has the maximum error of 0.5 mm, which has a precise prediction result.

Key words: drone oblique photography, concrete dam, combined prediction of deformation, least square
method

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