Transforming building code information into a machine-processable format is essential for automated compliance checking, yet it presents significant challenges. A prompt-based framework was developed to automate the conversion into a logic programming language. Its effectiveness was assessed by testing the framework on 51 requirements from the International Building Code (IBC) 2015, achieving 97.37 % precision and 95.88 % recall at the logic clause level, with only 2 % of the data used for training. Further testing on crash report transformation enhanced efficiency, reducing the average code generation time to approximately 60.8 s, thereby achieving a 27.8 % time savings compared to existing rule-based methods. This paper contributes to the body of knowledge by introducing an effective, versatile, and user-friendly approach to automated building code information transformation, markedly decreasing the reliance on training data, time, and manual efforts.

中文翻译：

---

基于提示的建筑规范信息转换自动化，用于合规性检查


将建筑规范信息转换为机器可处理的格式对于自动化合规性检查至关重要，但也带来了重大挑战。开发了一个基于提示的框架来自动转换为逻辑编程语言。通过根据 2015 年国际建筑规范 （IBC） 的 51 项要求测试框架来评估其有效性，在逻辑子句级别实现了 97.37% 的准确率和 95.88% 的召回率，仅 2% 的数据用于训练。对崩溃报告转换的进一步测试提高了效率，将平均代码生成时间缩短到大约 60.8 秒，与现有的基于规则的方法相比，节省了 27.8% 的时间。本文通过引入一种有效、多功能且用户友好的自动化建筑规范信息转换方法，显着减少了对训练数据、时间和手动工作的依赖，从而为知识体系做出了贡献。