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首页> 外文期刊>IEEE transactions on industrial informatics >Cyber-Physical System-Based Heuristic Planning and Scheduling Method for Multiple Automatic Guided Vehicles in Logistics Systems
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Cyber-Physical System-Based Heuristic Planning and Scheduling Method for Multiple Automatic Guided Vehicles in Logistics Systems

机译：基于网络物理系统的物流系统中多型自动引导车辆的启发式规划和调度方法

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摘要

The application of cyber-physical system (CPS) and edge computing in smart logistics systems has greatly improved the work efficiency. This article mainly focuses on the planning and scheduling problems in the CPS-based multiple automatic guided vehicles logistics system. A virtual network map with uneven time constraints is first proposed, which realizes the control and interaction of actual work in the control layer. Then, an improved A* path planning algorithm based on the characteristics of the path network model is implemented. A novel traffic control method is added to the planning process to achieve time-sensitive and proactive scheduling and collision avoidance. Results of the numerical experiments reveal that the proposed CPS-based heuristic method could be effectively applied to the multiple automatic guided vehicles logistics system to further improve system security as well as work efficiency.
机译：网络物理系统（CPS）和边缘计算在智能物流系统中的应用大大提高了工作效率。 本文主要关注基于CPS的多自动引导车辆物流系统的规划和调度问题。 首先提出具有不均匀时间约束的虚拟网络映射，从而实现了控制层实际工作的控制和交互。 然后，实现了基于路径网络模型特性的改进的A *路径规划算法。 在规划过程中添加了一种新颖的流量控制方法，以实现时间敏感和主动调度和碰撞避免。 数值实验结果表明，所提出的基于CPS的启发式方法可以有效地应用于多种自动引导车辆物流系统，以进一步提高系统安全性以及工作效率。

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