摘要
从抽象指标到具象三维建筑群模型的自动生成方法,在城市规划与城市设计中的应用价值日益凸显。传统生成方法应用类型学的理念,以从大量案例中抽象出的街坊原型,及其在实际应用中的还原结果来实现自动生成,其间滤除了案例中蕴藏的大量专业知识,导致在对专业知识需求较高的高层居住街坊生成时,往往无法胜任。本研究提出基于知识工程理念的自动生成方法,探索在以自适应参数模型描述真实案例所构成的案例库中,通过非结构化数据库的搜索技术,找到可适当变形的案例模型,以实现能够保留各种专业知识的高层居住街坊的自动生成。
The automatic generation method that converts abstract indexes into visible 3D building forms has played an increasingly important role in urban planning and urban design practices in China. But the traditional typology-based method, which abstracts the prototype of neighborhood and its reduction result in practical application from vast cases, in order to implement automatic generation. Such method, however, has ignored considerable professional knowledge which is contained in the cases. As a result, it has difficulties in carrying design knowledge, especially in the cases of high-rise residential street blocks. This study raises a new generation method with the concepts from knowledge-based engineering. It builds upon a street block case library composed by self-adaptive parametric case models and it has a non-structured databases foundation for searching right cases. In the automatic generation, it is expected to find an appropriate case in the library highly like the target street block and finalize the generation through parameters fine-tuning, in which all the design knowledge of the case can be inherited.
出处
《城市建筑》
2016年第1期114-117,共4页
Urbanism and Architecture
基金
同济大学高密度人居环境生态与节能教育部重点实验室资助
同济大学卓越课程计划(专业核心课)资助
关键词
参数模型
自适应案例
知识工程
非结构化数据库
Parametric model, Self-adaptive case, Knowledge-based engineering, Non-structured database
