面向维护5.0:在人工智能驱动的可持续和以人为中心的工业系统中基于弹性维护
Lech Bukowski1, Sylwia Werbinska-Wojciechowska2
1Faculty of Applied Sciences, WSB University, 1c Zygmunta Cieplaka Street, 41-300 Dabrowa Gornicza, Poland.
Sensors (Basel, Switzerland)
|August 28, 2025
概括
工业5.0通过基于弹性维护 (RBM) 增强工业系统,整合人工智能以提高适应性和以人为中心. 这种方法促进制造业的系统恢复和可持续发展.
科学领域:
- 工业工程
- 计算机科学
- 可持续性研究
背景情况:
- 工业5.0优先考虑可持续和以人为中心的工业发展.
- 基于弹性维护 (RBM) 是一个以系统适应性和不确定性恢复为重点的战略.
- 对于应对现代工业环境的复杂性至关重要.
研究的目的:
- 在维护5.0框架内对基于弹性维护 (RBM) 进行系统文献审查.
- 分析RBM与工业5.0原则的整合.
- 确定维护5.0的研究缺口和未来方向.
主要方法:
- 按照PRISMA的方法进行系统文献审查 (SLR).
- 精选出版物的图书统计分析.
- 对RBM和工业5.0的研究论文进行内容分析.
主要成果:
- 包括机器学习和数字双胞胎在内的人工智能方法是提高系统弹性的关键.
- 通过减少资源消耗和改善人机交互,RBM支持工业5.0支柱.
- 这项研究证实了RBM与可持续性和以人为中心的目标的一致性.
结论:
- 整合RBM的维护5.0为弹性,智能和包容性工业系统提供了战略途径.
- 需要进一步研究人工智能可解释性,特定行业的RBM应用以及人体工程学整合.
- 开发维护5.0对于未来的工业模式至关重要.
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