大语言模型在建筑工程中的应用测试与讨论

覃思中; 郑哲; 顾燚; 陆新征

doi:10.13204/j.gyjzG23081006

大语言模型在建筑工程中的应用测试与讨论

doi: 10.13204/j.gyjzG23081006

清华大学土木工程系, 北京 100084

基金项目:

清华-清尚智慧场景创新设计研究院2023年公开遴选项目；中华人民共和国住房和城乡建设部科学技术计划项目（2022-K-073）。

详细信息

作者简介:
覃思中,男,2001年出生,博士研究生。

通讯作者:
陆新征,luxz@tsinghua.edu.cn。

计量
- 文章访问数: 564
- HTML全文浏览量: 203
- PDF下载量: 36
- 被引次数: 0
出版历程
- 收稿日期: 2023-08-10
- 网络出版日期: 2023-11-08

Exploring and Discussion on the Application of Large Language Models in Construction Engineering

Department of Civil Engineering, Tsinghua University, Beijing 100084, China

摘要

摘要: 建筑业作为我国的经济支柱行业之一，一直面临着生产效率低、智能化水平有限等问题，大语言模型则给行业的发展带来了新的可能。首先提出了一套大语言模型在建筑工程中的应用方案，采用提示词工程和本地知识库相结合的方式来提升模型性能，通过实验分析验证其效果，并探究了本方案在行业各个领域中应用的可行性，针对部分任务提供了详细的应用案例。从实验结果中可以看出，尽管目前大语言模型在一些复杂的问题上还有较大的提升空间，但已经能初步替代建筑工程中的一些文本任务，为建筑业未来的发展提供了一个新的方向。
- 大语言模型 /
- 建筑工程 /
- 提示词工程 /
- 本地知识库 /
- 问答系统
Abstract: As one of China's key industries and economic pillars, the construction industry has long been plagued by low productivity and limited levels of automation. However, large language models present new possibilities for industry advancement. This paper proposes an application framework for large language models in construction engineering, utilizing prompt engineering and a local knowledge base to enhance model performance. The effectiveness of the proposed framework is validated through experimental analysis, exploring its feasibility in various domains within the industry and providing detailed application examples for specific tasks. The experimental results indicate that although there is still room for improvement in tackling complex problems, large language models have already demonstrated their potential to replace certain text-related tasks in construction engineering, offering a new direction for the future development of the construction industry.
- large language model /
- construction engineering /
- prompt engineering /
- local knowledge base /
- question-answering system

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参考文献(36)

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