A Lightweight Processing Method Towards Integrated Multi-demand in BIM

In recent years, the rapid advancement of Building Information Modeling (BIM) technology has led to an increasing variety of application scenarios, necessitating diverse demands on the technology. Among these requirements, the lightweighting of BIM models is of paramount importance. However, conventional approaches primarily focus on the models themselves, neglecting the varying needs of users. This study presents a novel lightweighting method for BIM models, starting from user interests or specific scenario requirements. It employs optimized data structures and organization techniques to streamline source data, thereby solving the problem of lightweighting BIM models while catering to the diverse needs of users. A comparison of studies using apartment buildings, office buildings, and commercial complexes as examples show that this method works to greatly enhance the efficiency of visualizing different-sized BIM models in geospatial environments. This research provides a new approach to lightweighting BIM models and holds the promising potential to offer strong technical support for future advancements in BIM technology.