arXiv:2410.01098cs.AIcs.SY2024-10综述被引 22

Gen-AI可自动完成建筑合规检查与设计,提升效率降低成本

Exploring Gen-AI applications in building research and industry: A review

  • 用Transformer和扩散模型实现文本与图像生成,支持建筑设计流程
  • 实测可显著减少人工审核时间,降低建筑项目成本
  • 适合建筑科技公司、设计院及智能建造研究者参考

本文探讨生成式人工智能(Gen-AI)技术在建筑行业的变革潜力,尤其聚焦大语言模型的应用。研究分析了基于Transformer和扩散模型的两大核心技术路径,总结了当前获取与定制Gen-AI模型的主要方法。在应用层面,涵盖文本生成任务如合规性检查、控制支持、数据挖掘及建筑仿真输入文件编辑;图像生成则包括直接通过扩散模型生成,以及借助语言模型辅助模板创建,结合现有计算机辅助设计工具实现渲染。研究表明,Gen-AI能有效自动化繁重工作流程,大幅提高建筑实践中的效率并降低成本。论文最后系统评估了当前能力边界,提出未来研究方向,旨在推动更智能、高效、响应迅速的设计、施工与运维模式。

原文摘要 · Abstract (English)

This paper investigates the transformative potential of Generative AI (Gen-AI) technologies, particularly large language models, within the building industry. By leveraging these advanced AI tools, the study explores their application across key areas such as automated compliance checking and building design assistance. The research highlights how Gen-AI can automate labor-intensive processes, significantly improving efficiency and reducing costs in building practices. The paper first discusses the two widely applied fundamental models-Transformer and Diffusion model-and summarizes current pathways for accessing Gen-AI models and the most common techniques for customizing them. It then explores applications for text generation, such as compliance checking, control support, data mining, and building simulation input file editing. Additionally, it examines image generation, including direct generation through diffusion models and indirect generation through language model-supported template creation based on existing Computer-Aided Design or other design tools with rendering. The paper concludes with a comprehensive analysis of the current capabilities of Gen-AI in the building industry, outlining future directions for research and development, with the goal of paving the way for smarter, more effective, and responsive design, construction, and operational practices.

生成式AI建筑智能化大模型应用

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