基于Plant Simulation的产线车辆调度问题
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1.沈阳化工大学;2.中国科学院沈阳自动化研究所

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T

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Research on Production Line Vehicle Scheduling Problem Based on Plant Simulation
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Shenyang University of Chemical Technology

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    摘要:

    随着中国制造2025计划的进行,军工工业要推行产线无人化,而AGV(自动引导车)作为全自动化生产线的主要物流载体,其调度的优劣直接决定了整个产线的产能和效率。由于军工场所对于安全性的要求,无法采用无线通信等手段,只能采用点对点的光通讯方式,这也使得AGV通讯的实时性变差。本文基于Plant simulation软件,建立仿真系统模型,打通了该物流仿真软件与现场控制器的实时数据交互通道,实现了仿真系统与现实同步运行,完成了物流仿真软件与现场控制器的无缝连接,有效的解决了军工工业没有无线造成AGV调度实时性差的难题。实验证明,这种方法有效地简化了调度系统的编写难度,并使系统整体的实时性能提高了0.058秒。与传统方法相比,编写时间缩短了9.7倍,调试时间更缩短了22倍。为军工产线实现全自动化奠定基础,并为在危险场所使用脉动生产线提供技术支持。

    Abstract:

    With the implementation of the Made in China 2025 plan, the military sector is poised to advance unmanned production lines. The scheduling quality of AGV (Automatic Guided Vehicle), as the primary logistics carrier in fully automated production lines, directly impacts the production capacity and efficiency of the entire line. However, due to safety requirements in military industrial sites, wireless communication and other methods are prohibited, limiting the AGV communication to point-to-point optical communication and diminishing real-time performance.This study addresses this challenge by utilizing Plant simulation software to establish a simulation system model. By establishing a real-time data interaction channel between the logistics simulation software and the on-site controller, the synchronization of the simulation system and reality is achieved. This seamless connection enhances the real-time AGV scheduling, effectively mitigating the impact of limited wireless communication in the military industry. Experimental results demonstrate that this approach significantly simplifies the complexity of writing a scheduling system and enhances the system's overall real-time performance by 0.058 seconds. Compared to traditional methods, it reduces the writing time by a factor of 9.7 and further decreases the debugging time by 22 times. These outcomes lay a solid foundation for the complete automation of military production lines and provide technical support for utilizing pulse production lines in hazardous environments.

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刘浩然,刘松凯,陈斌. 基于Plant Simulation的产线车辆调度问题[J]. 科学技术与工程, , ():

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  • 收稿日期:2024-02-27
  • 最后修改日期:2024-05-22
  • 录用日期:2024-06-05
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