基于AGVs路径规划的物流智能调度系统设计与实现

Design and Implementation of Logistics Intelligent Scheduling System Based on AGVs Path Planning

摘要:

为了解决现有物流调度系统低效缓慢、容错率低的问题，设计了基于自动导引运输车(Automated Guided Vechicle, AGV)和路径规划优化算法的物流智能调度系统。系统搭配了AGV的物流调度硬件，又结合了路径规划理论，开发了基于Petri网络的智能路径规划算法。通过算法性能对比得知，路径规划算法设计了最优调度路径，确保了较高的准确率和工作效率。系统测试结果显示，基于AGVs路径规划的物流智能调度系统能够在各种物流环境或者库房基地完成调度任务，很好地解决了物流企业在忙碌期的繁杂调度问题。基于AGVs路径规划的物流智能调度系统提高了物流调度的自动化程度，保证了物流调度和道路运输的效率，有效推动了商业模式和市场规范的发展。

Abstract:

In order to solve the problems of inefficiency, slowness and low fault tolerance of the existing logistics scheduling system, a logistics intelligent scheduling system based on Automated Guided Vehicle (AGV) and path planning optimization algorithm was designed. The system was equipped with AGV's logistics scheduling hardware, combined with path planning theory, and developed an intelligent path planning algorithm based on Petri network. Through the comparison of algorithm performance, it was known that the path planning algorithm had designed the optimal scheduling path to ensure higher accuracy and work efficiency. System test results showed that the logistics intelligent scheduling system based on AGVs path planning can complete scheduling tasks in various logistics environments or warehouse bases, and well solve the complicated scheduling problems of logistics enterprises during busy periods. The intelligent logistics dispatch system based on AGVs path planning improves the automation degree of logistics dispatch, ensures the efficiency of logistics scheduling and road transportation, and effectively promotes the development of business models and market norms.