建筑安全违规和警告报告中的混合语言表达式:标准化和安全分析的特定领域框架
Kyung-Su Kang1, Sang-Min Lee2, Han-Guk Ryu3
1Construction Engineering and Management Institute, Sahmyook University, Seoul, Republic of Korea.
Work (Reading, Mass.)
|March 16, 2026
概括
一个新的文本规范化框架标准化了韩国建筑安全报告,提高了数据可靠性的数据驱动安全管理. 这增强了对安全违规和警告报告 (SVWR) 的分析.
科学领域:
- 建筑工程安全 建筑工程安全
- 自然语言处理自然语言处理.
- 数据分析数据分析数据分析.
背景情况:
- 建筑工地产生大量的安全数据,常常受到不一致的术语和混合语言表达式 (MLEs) 的阻碍.
- 由于格式不规则和混合词汇,韩国安全违规和警告报告 (SVWR) 提出了挑战,限制了数据驱动的安全管理.
- 现有的方法在局部安全报告中扎着语言的变化.
研究的目的:
- 为SVWRs开发和验证一个域特定的文本规范化框架.
- 提高建筑安全报告的语言一致性和分析可靠性.
- 通过改进的文本数据,实现更有效的数据驱动安全管理.
主要方法:
- 分析了来自韩国39个建筑工地的64,999个SVWR.
- 开发基于规则和字典的规范化管道,以标准化术语和MLEs.
- 应用主题建模 (与对称前置) 来识别八个与安全相关的主题.
主要成果:
- 文本规范化使主题模型的一致性提高了20.6% (从0.412到0.497).
- 澄清了风险结构,将其分为诸如落,电气危险和防火等类别.
- 揭示了以前模糊的同时发生的风险模式,突出了语言预处理的重要性.
结论:
- 该框架将碎片化报告转换为标准化,可分析的数据,提高方法可靠性和实际使用.
- 基于字典的方法可扩展到其他语言,支持可扩展的安全管理.
- 语言预处理对于准确可靠的基于文本的建筑安全分析至关重要.
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