用大模型让语音直接生成建筑模型，降低设计门槛。
A Generalized LLM-Augmented BIM Framework: Application to a Speech-to-BIM system
- 六步流程框架：解析-填空-匹配-结构化-执行-验证
- 语音输入可精准生成外墙设计，替代传统操作界面
- 适合建筑设计师、初学者快速上手智能建模
建筑信息建模（BIM）任务复杂，需记忆大量命令，学习成本高。随着大语言模型（LLM）的发展，通过自然语言（文本或语音）进行查询、管理、4D/5D BIM、合规检查及设计创作的“语音转BIM”或“文本转BIM”方式正成为可能。本文提出一个通用的LLM增强型BIM框架，包含六个步骤：解读-填充-匹配-结构化-执行-验证，以加速LLM增强型BIM应用的开发。通过以外墙详图为例，实现名为NADIA-S的语音到BIM系统，验证了该框架的有效性。
原文摘要 · Abstract (English)
Performing building information modeling (BIM) tasks is a complex process that imposes a steep learning curve and a heavy cognitive load due to the necessity of remembering sequences of numerous commands. With the rapid advancement of large language models (LLMs), it is foreseeable that BIM tasks, including querying and managing BIM data, 4D and 5D BIM, design compliance checking, or authoring a design, using written or spoken natural language (i.e., text-to-BIM or speech-to-BIM), will soon supplant traditional graphical user interfaces. This paper proposes a generalized LLM-augmented BIM framework to expedite the development of LLM-enhanced BIM applications by providing a step-by-step development process. The proposed framework consists of six steps: interpret-fill-match-structure-execute-check. The paper demonstrates the applicability of the proposed framework through implementing a speech-to-BIM application, NADIA-S (Natural-language-based Architectural Detailing through Interaction with Artificial Intelligence via Speech), using exterior wall detailing as an example.
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