Research on Parametric Modeling Method of Urban Buildings Serving Digital Twins

Currently, digital twin technology is popular, and three-dimensional modeling of cities is particularly crucial. For the large-scale production of urban modeling data, the CGA rule-based modeling method unique to CityEngine can achieve fast parametric modeling. However, the current parametric modeling has limited semantic diversity and attribute modification capabilities. For example, common building models that can only be mass-produced can only modify basic information such as the appearance texture and height of the building. Therefore, this study aims to construct a CGA rule that not only enables rapid parametric modeling but also allows for the modification of more building attributes through the attribute panel, such as randomly generating building appearances: windows, walls, balconies, etc. Additionally, adding building attributes can prevent repetitive construction.