A BIM‐Construction Interaction Method for Construction Monitoring Based on Laser Scanning Point Cloud

BIM is increasingly crucial for the building construction, yet deviations from actual construction limit its construction monitoring applications. Therefore, this paper proposes a BIM‐construction interaction method that integrates parametric modeling, point cloud processing, and parameter optimization and fitting to enhance the construction monitoring. Proposed parametric modeling methods equip BIM elements with the ability of the pose adjustment and deformation modification, addressing potential deviations during construction. Developed component feature extraction algorithms efficiently capture pose and deformation features from the point cloud model that sufficiently and accurately reflect the actual state of the structural components. The proposed parameter optimization and fitting approach targets model parameters for optimization and aims to match pose and deformation features for fitting. By constructing objective functions that quantify the deviation between the BIM and point cloud models, the process is driven by the RBFOpt optimization algorithm and Opossum optimization solver. This approach enables the automatic updating of the design BIM into the as‐built BIM and generates deviation data between the two models, providing a basis for comprehensive construction monitoring results. The BIM‐construction interaction method was applied to the core area construction of the Shanghai Grand Opera House, where it reduced the root mean square error (RMSE) between the parametric BIM and point cloud models of the core column, concrete thick shells, and cantilever beams from 0.0352 m, 0.0411 m, and 0.0323 m to 0.0082 m, 0.0323 m, and 0.0053 m, respectively, significantly reducing deviations between BIM and the actual construction. Comprehensive and quantitative construction monitoring data, including pose deviations and structural deformations, were obtained to assess the precision and safety of the core area construction. The results demonstrate that the BIM‐construction interaction method effectively supports the interaction between BIM and construction, enabling monitoring and evaluation based on point cloud data.