基于大语言模型的建筑平面图结构生成
Journal: Building Development DOI: 10.12238/bd.v9i3.4386
Abstract
随着大语言模型(Large Language Model,LLM)在智能推理与自然语言理解方面能力的持续突破,建筑平面图的数字化生成正迎来新的范式转变。本文提出一种基于大语言模型驱动的平面图结构生成方法,旨在模拟建筑师的思维过程,实现从用户自然语言需求到建筑空间图结构的自动化转换。通过引入思维链方法与建筑知识注入机制,大语言模型能够从非结构化文本中学习提取房间功能、空间关系与设计逻辑,并生成结构化的功能拓扑图。本研究不仅拓展了建筑生成设计的技术边界,也为多轮交互式设计工具的开发提供了新思路。
Keywords
大语言模型；建筑平面生成；图结构；思维链
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