基于云/VPN的模块化生产系统的远程控制,辅助由移动网络物理机器人系统-数字双胞胎方法
Georgian Simion1,2, Adrian Filipescu1,2, Dan Ionescu1,2
1Department of Automation, "Dunarea de Jos" University of Galati, 800008 Galati, Romania.
Sensors (Basel, Switzerland)
|January 25, 2025
概括
本研究介绍了一种数字双胞胎方法,用于使用模块化生产系统和移动机器人管理生产,再加工和废弃. 增强现实和虚拟现实增强实时任务规划和系统可视化.
科学领域:
- 工业自动化和机器人技术
- 网络物理系统 网络物理系统
- 数字双胞胎技术的数字双胞胎技术
背景情况:
- 现代制造业需要先进的系统,以实现高效的加工,再加工和废弃 (P/R/S).
- 将模块化生产系统 (MPS) 与移动网络物理机器人系统 (MCPRS) 集成,带来了复杂的控制和同步挑战.
- 在动态的生产环境中,对实时监控,规划和可视化的需求至关重要.
研究的目的:
- 在由移动网络物理机器人系统 (MCPRS) 辅助的模块化生产系统 (MPS) 中开发和评估P/R/S技术的数字双胞胎 (DT) 方法.
- 使用增强现实 (AR) 实现实时任务规划,并通过与模拟集成的虚拟现实 (VR) 实现可视化.
- 证明系统在管理产品流程方面的能力,包括对不合格工件进行再加工和废弃.
主要方法:
- 硬件架构的实施包括四个工作站 (WS),一个带有机器人操纵器 (RM) 的轮式移动机器人 (WMR) 和一个移动视觉伺服系统 (MVSS).
- 集成可编程逻辑控制器 (PLC) 的等级控制系统,通过Profibus DP连接,具有更广泛的网络连接 (Profinet,以太网,OPC-UA) 到互联网和云.
- 使用同步混合Petri网 (SHPN) 进行VR可视化和任务同步,使用定时Petri网 (TPN) 进行工作站过程控制,以及使用连续Petri网 (CPN) 进行MCPRS运动.
- 增强现实 (AR) 用于实时用户交互,任务可视化和规划.
主要成果:
- 成功地将DT框架与AR和VR集成,以加强生产管理.
- 使用SHPN模拟,展示MPS和MCPRS之间的实时控制和同步.
- 有效地处理P/R/S工作流程,包括自动返回不合格的工件进行再加工或废弃.
- 验证层次控制系统和网络架构的可靠运行.
结论:
- 拟议的数字双胞胎方法,结合AR和VR,为管理模块化生产系统中复杂的P / R / S操作提供了强大的解决方案.
- 培养网建模提供了一种强大的方法来控制和同步各种系统组件,从PLC到移动机器人.
- 该系统有效地支持实时决策和自适应控制,提高整体生产效率和质量管理.
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