知识图和基于CBR的方法用于对桥梁运行事故的自动分析:案例表示和检索
Hui Xu1,2, Yuxi Wei1, Yonggang Cai3
1School of Economics and Management, Chongqing University of Posts and Telecommunications, Chongqing, China.
PloS one
|November 7, 2023
概括
本研究引入了一种自动化方法,用于分析桥梁运行事故,使用知识图和基于案例的推理 (CBR). 这种方法增强了知识的表示和检索,以改善桥梁风险管理.
科学领域:
- 土木工程 土木工程是指土木工程.
- 计算机科学 计算机科学
- 人工智能的人工智能
背景情况:
- 桥梁运营事故分析对于风险管理至关重要.
- 现有的研究缺乏对过去事故和知识表示的关注.
- 基于案例的推理 (CBR) 在类似的案例检索中存在局限性.
研究的目的:
- 提出对桥梁运行事故的自动化分析方法.
- 解决事故知识代表和案例检索方面的局限性.
- 利用知识图和CBR进行增强的事故分析.
主要方法:
- 开发了一种结合知识图和CBR的自动化分析方法.
- 用于多维案例表示的知识图.
- 实施了多循环层检索策略,以有效地检索病例.
主要成果:
- 拟议的方法有效地代表了桥梁运营事故知识.
- 多循环层检索策略提高了检索效率.
- 对目标病例的验证证实了该方法的有效性.
结论:
- 知识图和CBR的整合为自动化桥梁事故分析提供了有价值的工具.
- 这种方法可以为各种基础设施提供智能风险管理信息.
- 该方法为先进的桥梁运行安全提供了基础.
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