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基于点云数据与工程知识的桥梁形态变化识别方法
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Change Detection Method of Bridges Geometrical Profile Based on Point Cloud Data and Engineering Knowledge
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    为精准评估桥梁服役状态,通过定期多次三维激光数字建模,提出一种基于点云 模型与工程知识的桥梁形态变化识别与跟踪方法. 首先以传统ICP配准算法为基础,结合工程 专业知识,仅依据优化的相对不动点集实现高效的点云分割与配准,进而针对新旧点云模型 实施三维几何差异分析,从而完成桥梁形态变化的识别与验证 . 最后将该方法应用于实际工 程,高精度识别出背景桥梁各关键构件一年内的形态变化,并利用工程知识对其进行验证. 研 究结果表明:所提出的基于工程知识的点云配准算法可高效实现三维点云间的精确配准;以 此进行三维几何差异分析,可快速准确识别出桥梁构件在某一时期内的形态变化,例如主梁 弯曲扭转以及桥墩偏移等. 该方法可进一步提高桥梁非接触检测结果的科学性与精准性.

    Abstract:

    To evaluate the serve status of bridge operation precisely,based on the bridge 3D point data model ob? tained at different times,the detection and tracking method of the bridge geometrical profile based on point cloud data and engineering knowledge is established. Firstly,based on the traditional ICP registration,combined with engi? neering professional knowledge,a point cloud registration algorithm that only uses relatively fixed points to partici? pate in the registration process is proposed. This algorithm is used as the main body to construct a bridge spatial de? formation identification method including the point cloud segmentation,registration,deformation identification and result verification. At last,the set of methods is applied to an engineering example to efficiently obtain the change of geometrical profile of each component of the bridge within one year,and the structural engineering knowledge is used to verify the reliability of the identification results. The results show that the proposed point cloud registration al? gorithm based on engineering knowledge can efficiently realize the precise registration of two point clouds. The change detection method of the bridge geometrical profile based on this algorithm can quickly and accurately identify the spatial deformation of bridge components(e.g. bending and torsion of girders and lateral bending of piers)in a period of time. This proposed method can provide more technical means and practical experience for the intelligent non-destructive testing of bridges.

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熊文 ,李刚 ,张宏伟 ,张立奎 ,操川 .基于点云数据与工程知识的桥梁形态变化识别方法[J].湖南大学学报:自然科学版,2022,49(5):101~110

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  • 在线发布日期: 2022-06-06
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