Demo Abstract: Collaborative Real-Time Scheduling (CRTS) Algorithm for AGV Transportation System within a CPS Architecture

Himansu Shaw, A. Cheng
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Abstract

The use of Autonomous Guided Vehicles (AGVs) is important in smart factories to enhance manufacturing operations. However, current AGV scheduling algorithms are inadequate and not connected to real-time data on manufacturing needs, leading to underutilized AGVs and missed delivery deadlines. The lack of algorithms that ensure timely delivery of materials results in idle time of AGVs and material shortages. We present a collaborative real-time scheduling (CRTS) algorithm for AGVs in smart factories. The algorithm not only ensures timely delivery of materials to processing units but also predicts the minimum number of AGVs required. The algorithm is designed to operate within a cyber-physical system architecture, where AGVs and processing units exchange data via a wireless network. The simulation results on the Node-Red platform show that the algorithm is efficient and adequate to meet real-time delivery requirements, with an average AGV utilization of over 92%.
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摘要:基于CPS架构的AGV运输系统协同实时调度算法
在智能工厂中,自动导向车辆(agv)的使用对于提高制造运营非常重要。然而,目前的AGV调度算法不充分,没有与制造需求的实时数据相关联,导致AGV未充分利用和错过交付期限。由于缺乏保证材料及时交付的算法,导致agv的闲置时间和材料短缺。提出了一种智能工厂中agv的协同实时调度算法。该算法不仅能保证物料及时送达加工单元,还能预测所需agv的最小数量。该算法被设计为在网络物理系统架构中运行,其中agv和处理单元通过无线网络交换数据。在Node-Red平台上的仿真结果表明,该算法是有效的,足以满足实时交付要求,平均AGV利用率超过92%。
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