基于三维激光扫描的外墙快速检测技术研究

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中图分类号:TQ178;TP391.9 文献标志码:A 文章编号:1001-5922(2025)07-0053-04

Abstract:In order to improve the detection speed of exterior walls,an inspection method based on 3D laser scanning was proposed.Inthe method,byusing K-Dimensional Tree toaccelerate thecomputational efficiencyof the boundary feature point extraction algorithm,the feature extraction was carried outon the point cloud data of the outer wall, and the extracted exterior wall features were fited byleast squares fiting,and finally the external walldeformation detection was realized by comparing the fiting function parameter values ofthe exterior wallin diferent periods.The simulation results showed that the feature structure of the exterior wallpoint cloud data extractedby the proposed method was complete,which can accurately reflect the detailed features of the exterior wall windows and other features,which has obvious advantages compared with the approximate curvature algorithm and the normal vector algorithm,and can effectively improve the detection speed of the exterior wall.

Key words:3D laser scaning;externalwallinspection;deformation detection;boundary pointfeature extraction;k-d tree

近年来,随着科学技术的进步,三维激光扫描技术凭借其高效和非接触性特点,广泛应用于各个领域的变形检测。(剩余4834字)

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