Key Technology Research And Implementation Of Multi-AGV Scheduling And Simulation System Based On Design Pattern

With the rapid development of computer technology,intelligent manufacturing and warehousing logistics,the production efficiency of modern factories has been greatly improved.However,with the improvement of production efficiency,the high-precision processing cost and internal automation logistics problems of the factory have become increasingly prominent.Traditional manual handling methods have problems such as low efficiency and high cost.AGV(Automated Guided Vehicle),as a flexible intelligent logistics transportation vehicle that integrates a variety of advanced technologies,can well meet the logistics needs of smart factories and greatly improve the transportation efficiency of the factory.In this thesis,based on a practically applied unmanned workshop environment,a multi-AGV scheduling and simulation system is designed and implemented,and functions such as path planning,real-time scheduling,obstacle avoidance processing,and visual simulation are realized.Through the experimental analysis of the simulation system,a more reasonable resource allocation and scheduling plan can be worked out for the unmanned workshop.The main work of this thesis is as follows:1.Common system design based on design patterns.Considering the functional requirements and scalability requirements of AGV scheduling and simulation,this thesis proposes a general system design scheme based on design patterns,which makes the system flexible and good scalability.According to the interactive behavior requirements of the system and the characteristics of specific design modes,the composition and modeling methods of each functional module of the system are deeply studied,and the system architecture model,logical structure model and interactive behavior model,as well as the corresponding model expression methods,are given.2.Map modeling,path planning and scheduling algorithm design.This thesis combines the advantages of the topology method and the grid method,and proposes a feasible map modeling method.This method only stores the key points of the unmanned workshop,which improves the processing efficiency.According to the map model,the A* algorithm is used to plan a global shortest path from the starting point to each production machine tool.A brand-new scheduling algorithm is designed to track each AGV in real time,and avoid obstacles according to the conflict avoidance strategy,and give the next driving position and command of each working AGV in time to ensure the system run efficiently.3.System implementation and simulation experiment.This thesis implements a multi-AGV scheduling and simulation system,which can simulate the whole process of this scheduling in real time.Through simulation experiments,it is possible to clearly observe the operation and obstacle avoidance process of each AGV trolley.This thesis designs a multi-parameter combination simulation experiment,such as the number of trolleys,the speed of the trolleys,the priority of machine tool requests,and the processing time interval.Through simulation experiments,this thesis presents a better resource allocation plan,which improves the work efficiency of the unmanned workshop and saves the operating cost of the unmanned workshop.