Research on the Model of Optimizing the Intelligent Construction Process by Using Three-Dimensional Graphics Modeling

This study proposes a modeling optimization method based on three-dimensional graphics for the modeling problem of complex geometric structures in the intelligent construction process. This method uses the Marching Cubes algorithm to efficiently generate meshes for the target structure. The complex geometric structure is decomposed into multiple cubic units, and then the model is reconstructed based on boundary judgment and interpolation operations. The system design includes an algorithm optimization module, a three-dimensional graphics rendering module, and a model simulation module to ensure the accuracy and efficiency of modeling. In the simulation process, the advantages of this method in terms of accuracy and real-time performance were verified by comparing indicators such as surface reconstruction error, mesh generation speed, and data processing efficiency of different models. The experimental results show that the proposed algorithm can effectively reduce the error rate in the modeling process, while improving the stability and reliability of data processing, laying a solid foundation for the digitization and automation of intelligent construction. Data analysis shows that this method can improve the computational efficiency by about 30% and control the error within 0.5%, significantly enhancing the application potential of three-dimensional graphics in intelligent construction.