Abstract: With the rapid development of digital twin city technologies,building information modeling (BIM)has become increasingly critical in urban planning,design,construction,and operational management.However,the widespread application of BIM model in digital twin cities often faces challenges posed by massive data volumes,which directly impact real-time visualization of models as well as the real-time responsiveness,interactivity,and scalability of digital twin cities.This paper proposes a method integrating BIM model disaggregation techniques with an adaptive tile generation strategy.This approach adheres to the 3D Tiles 2.0 standard and incorporates a composite compression algorithm combining MeshQuan vectorized compression and edge collapse methods,aiming to optimize the storage,transmission,and rendering performance of BIM model in web environments.Additionally,experiments are designed to evaluate loading efficiency,simplification effectiveness,and rendering performance,with comparative analysis against original BIM model.Experimental results demonstrate that the optimized BIM model achieve significant improvements in loading efficiency,substantial reductions in file size and triangle face counts,while the algorithm's execution time is validated.These findings confirm the high efficiency of this technology in enhancing BIM model loading and rendering performance on web platforms.

Key words: BIM model, monolithic decomposition, adaptive tile optimization, 3D Tiles