运输系统运营和维护的数字双胞胎方法-系统性审查
Sylwia Werbińska-Wojciechowska1, Robert Giel1, Klaudia Winiarska1
1Faculty of Mechanical Engineering, Wroclaw University of Science and Technology, Wyspianskiego 27, 50-370 Wroclaw, Poland.
Sensors (Basel, Switzerland)
|September 28, 2024
概括
数字生 (DT) 提高了运输车队维护效率. 本系统性审查分析了交通部门的数据技术应用,确定了关键领域,研究缺口和改善运营的未来方向.
科学领域:
- 工程和技术工程和技术.
- 计算机科学 计算机科学
- 运营研究 运营研究
背景情况:
- 越来越多的需求提高运输车队维护的效率和运营能力.
- 需要使用数字生 (DT) 等现代技术来应对维护方面的挑战.
研究的目的:
- 对运输车队维护中的数字生应用进行全面的文献审查.
- 分析DT在运输行业的演变,采用水平,研究差距和未来方向.
主要方法:
- 系统的文献审查遵循PRISMA指南.
- 在各种科学数据库中使用Primo多个搜索工具.
- 包括2012年至2024年间发表的201项英语研究;进行了文献计量分析.
主要成果:
- 在空中,铁路,陆地,物流,水上和供应链运输中分类的DT应用.
- 图书计量分析揭示了关键领域:预测性维护,状态监测和决策.
- 确定了不同的采用水平,有前途的领域 (供应链,水运输) 和研究缺口 (集成,实时数据,标准化).
结论:
- 数字生为优化运输维护和运营提供了巨大的潜力.
- 未来的研究应该专注于预测诊断,自动化和库存管理.
- 交通系统中DT的框架建议指导未来的创新.
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