Architectural models can be constructed from 3D point cloud data due to the advances in spatial information acquisition technology.However, most of the existing model construction methods rely on manual interaction, which is extremely laborious and time consuming, thus are not applicable to the construction of large-scale urban models and related applications.This paper proposes an approach to build the main structure model based on wireframe analysis.First, filter and normalize the original building point cloud, and extract the multi-level boundary polygons of the building to comprehensively describe the building boundary structure; then divide the boundary polygons at each level into multiple rectangular primitives that are simple and easy to control.A robust hierarchical rectangular connection and analysis algorithm is used to generate a complete main structure model of the building.Finally, experiments on three sets of complex structure and severely occluded building point cloud data show that the approach has good performance and can robustly handle the point cloud data of buildings with missing data and different point density.The proposed approach takes into account the structural differences at different heights of the building, and realizes the high-precision construction of the wireframe model for the main building structure.