通过整合数字双胞胎和人工智能来推进高速列车 Rolling Stocks 的循环经济实施
Lalitphat Khongsomchit1, Sakdirat Kaewunruen1
1Department of Civil Engineering, University of Birmingham, Birmingham B15 2TT, UK.
Sensors (Basel, Switzerland)
|October 29, 2025
概括
数字双胞胎和人工智能可以促进高速列车轨道车辆的循环经济. 目前的应用侧重于效率,但整合这些技术可以增强可持续的资源管理和实施10R原则.
科学领域:
- 工程 工程师 工程师 工程师
- 计算机科学 计算机科学
- 环境科学 环境科学
背景情况:
- 高铁轨道车辆产生大量的退役废物.
- 与基础设施相比,循环经济和10R原则的实施在轨道车辆方面是有限的.
- 现有的研究主要集中在数据管理和效率上.
研究的目的:
- 审查循环经济的数字双胞胎和人工智能的整合,以及轨道车辆中的10R原则.
- 确定在将这些技术应用于可持续的铁路资产管理方面的研究缺口.
- 为提高可持续性提出自动化工作流程.
主要方法:
- 从科学网络和IEEE Xplore的47项研究的系统文献综述.
- 在铁路环境中分析数字双胞胎和机器学习应用程序.
- 对高浪费组件和当前人工智能应用的比较分析.
主要成果:
- 大多数研究集中在数据管理和效率上,很少有人直接关注循环经济或10R原则.
- 目前的人工智能应用与在轨车辆中实施循环经济原则的需求之间存在重大差距.
- 少数研究明确将数字双胞胎和人工智能与轨道车辆的10R原则联系起来.
结论:
- 数字双胞胎和人工智能为推进轨道车辆循环经济提供了潜力.
- 为条件监测和资源管理提出了集成数字双胞胎,人工智能和10R原则的自动化工作流.
- 需要进行进一步的研究,以弥补发现的差距,并提高铁路资产管理的可持续性.
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