Virtual assembly method of bridge components based on point cloud feature extraction

doi:10.13474/j.cnki.11-2246.2025.0810

Abstract

Abstract: Aiming at the current virtual preassembly technology in the application of large-scale girder bridge project,which has the problems of huge data volume,not applicable to bolted structure,and only considering 1+1 splicing,etc,the virtual assembly method of steel girder sections based on point cloud feature extraction is proposed with Shapotou Yellow River highway bridge as the engineering background.The virtual assembling method uses the strategy of local+overall scanning to solve the problem of long data acquisition time and large computing capacity,and the denoising and downsampling of point cloud data is completed by SOR algorithm and spatial sampling algorithm,etc.In order to carry out virtual assembling of bolted components,the planar identification segmentation,spatial point cloud projection downsampling,three-dimensional point cloud circular hole fitting and circular hole center coordinate extraction methods are proposed based on the RANSAC fitting algorithm.Finally,to the problem that only 1+1 splicing is considered in the virtual assembly of components,an overall virtual preassembly method is proposed based on the ICP algorithm from the processing deviation to the splicing deviation.The engineering application shows that the maximum error of scanning recognition and measurement is 0.15 mm,and the qualification rate of virtual assembly of the segment is 97%,which is more comprehensive and accurate than the traditional method; this method has the advantages of high automation,fast simulation efficiency,and is applicable to the whole structure,and it can provide technical support for the virtual assembly of steel girder segments of large bridges.

Key words: steel girder segments, bolted structures, point cloud, virtual preassembly, RANSAC, assembly deviation

CLC Number:

P258

WANG Lei, LI Sheng, DING Xiaoping, LI Ruijie, ZHANG Yuyuan, DENG Wen. Virtual assembly method of bridge components based on point cloud feature extraction[J]. Bulletin of Surveying and Mapping, 2025, 0(8): 62-69.

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