与先进的桥梁监控技术相关的风险
Michal Miške1, Pasquale Daponte2, Luca De Vito2
1Faculty of Security Engineering, University of Žilina, 010 26 Žilina, Slovakia.
Sensors (Basel, Switzerland)
|March 14, 2026
概括
先进的桥梁监控使用人工智能和物联网传感器等新技术进行实时数据. 一个新的框架管理风险,增强桥梁安全和生命周期管理.
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
- 风险管理 风险管理
背景情况:
- 桥梁监测正在随着结构健康监测 (SHM),物联网 (IoT) 传感器,无人机,人工智能 (AI) 和云计算等先进技术的发展而发展.
- 这些技术可以实现持续的实时数据采集,处理和早期检测结构退化,但也引入新出现的风险.
研究的目的:
- 为先进的桥梁监测提供描述性的风险清单.
- 提出一个全面的风险治理框架,用于使用SWOT分析进行先进的桥梁监测.
- 将可靠性,安全性和治理结合到一个可操作的过程中.
主要方法:
- 进行SWOT分析,以制定风险治理框架.
- 整合统一的风险分类和评估.
- 将传感器和人工智能性能与网络威胁建模和数据治理要求联系起来.
- 应用于现实世界的部署:金多桥SHM程序和斯塔瓦桥数字双胞胎.
主要成果:
- 拟议的框架有效地整合了异质测量,以改善桥梁生命周期管理.
- 证明了各种数据的转换,以加强监控.
- 该框架解决了与先进监控技术相关的风险.
结论:
- 跨学科方法确保先进技术增强,而不是侵蚀,桥梁基础设施的安全和弹性.
- 该框架提供了一种可操作的方法,用于在先进的桥梁监控中管理风险.
- 这项研究为在基础设施管理中合可靠性,安全性和治理提供了一种新的方法.
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