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工业和汽车网络物理系统中的分布式智能:一篇综述
Nikos Piperigkos1, Alexandros Gkillas1, Gerasimos Arvanitis2
1Industrial Systems Institute, Athena Research Center, Patras, Greece.
Frontiers in robotics and AI
|November 12, 2024
概括
系统的网络物理系统 (CPSoSs) 能够实现复杂的协作. 本调查审查了连接CPSoS的最佳实践,重点关注双层架构和数字双胞胎集成以进行优化.
科学领域:
- 计算机科学 计算机科学
- 工程 工程师 工程师 工程师
- 系统科学 系统科学
背景情况:
- 网络物理系统 (CPSs) 正在越来越多地形成系统的协作系统 (CPSoSs).
- 这些异质的系统面临着应用性和可用性方面的挑战,原因是去中心化和不同的目标.
- 汽车和基础设施行业正在采用CPSoS来实现新兴的功能和社会影响.
研究的目的:
- 提供连接网络物理系统中最佳实践的全面审查.
- 调查CPSoS的双层架构,包括感知和行为组件.
- 探索数字双胞胎在模拟和优化CPSoS生态系统中的作用.
主要方法:
- 关于互联网络物理系统当前最佳实践的文献综述.
- 分析双层架构:感知 (对象检测,场景分析,定位,路径规划,以人为中心的感知) 和行为 (循环中的人类决策和控制).
- 对CPSoS模拟,实现和优化数字双胞胎范式的概述.
主要成果:
- 确定了有效的CPSoS操作的感知和行为层的关键组成部分.
- 强调了人为循环决策和操作员状态监控的重要性.
- 强调数字双胞胎在管理和优化复杂的CPSoS环境中的实用性.
结论:
- 在各个领域,CPSoS为实现复杂目标提供了显著的潜力.
- 结构化,双层架构与以人为中心的元素对于CPSoS的成功至关重要.
- 数字双胞胎是开发,测试和优化大型CPSoS生态系统的重要工具.
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