A bridge member cross section contour detection method and system based on point cloud data

Abstract

This invention discloses a method and system for detecting the cross-sectional contour of bridge components based on point cloud data. The method includes: acquiring three-dimensional point cloud data of the bridge component; extracting local point clouds of feature parts that meet preset conditions; determining and standardizing the component's axial direction through feature analysis; constructing an end face plane perpendicular to the axis; and projecting the three-dimensional point cloud to obtain a two-dimensional projection point set. A density evaluation standard based on the spatial relationship between points and their nearest neighbors is established; spatial indexing is used to optimize query efficiency; an adaptive filtering threshold is determined through statistical analysis; and a high-density contour point set is formed after noise removal. An initial fitted point set is selected, and auxiliary control points are set to form a complete control point sequence; a fitted curve is constructed, and outliers are removed; the optimal fitted contour is iteratively selected. A local coordinate system is constructed to complete coordinate transformation; actual control points are extracted; deviation indices are calculated by comparing with design control points; and irregular contour detection is completed. This method ensures the quality and structural safety of bridge engineering.

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