AGV Path Optimization Of Automatic Assembly Workshop Of Company A

With the coming of the "industry 4.0" era,the manufacturing industry will be transformed to intelligence by making full use of the combination of information and communication technology and cyberspace virtual system.The three themes of "industry 4.0" project are "intelligent factory","intelligent production" and "intelligent logistics".Among them,"intelligent logistics" refers to the integration of logistics resources through the Internet,the Internet of things,and the logistics network,giving full play to the efficiency of the existing logistics resources suppliers,providing fast matching services for the demand side,and building a logistics support intelligent logistics system.The development of "intelligent logistics" has become the necessary basis for the development of intelligent society,and has been fully valued and vigorously developed by all countries in the world.In recent years,under the background of the rapid development of information technology and the strong promotion of national policies,smart technologies represented by Internet,cloud computing,big data,etc.have been widely used.Among them,the intelligent transportation represented by AGV in the on-site logistics,with its advantages of automation,high degree of intelligence,strong flexibility,good safety,green environmental protection and so on,is rapidly developing instead of traditional handling equipment,and is more and more widely used in automatic chemical plants,intelligent warehouses,port terminals,airports and other industries.Based on the above background,this dissertation makes multi AGV segmented path planning in the case of how to avoid the circular vehicle for material transportation in the assembly plant with complex environment.First of all,according to the research object and content of this dissertation,the definition of intelligent logistics,AGV,the types of navigation methods and the domestic and foreign literature of vehicle route planning in the field are summarized.And the electronic map construction and vehicle path planning model construction and solution algorithm are classified and summarized,which provides a rich theoretical basis for the study of this dissertation.Secondly,this dissertation expounds the current situation of material transportation in the workshop of a company's general assembly plant from two aspects of electronic map construction and path planning algorithm,and analyzes the existing problems and reasons,which provides a practical basis for this study.On this basis,a dynamic two-dimensional electronic map of the general assembly plant workshop is made by using the topological diagram method.Finally,considering the interference of the ring car to the AGV operation in the field,taking the minimum transportation time cost as the objective function,the vehicle path planning model under the single distribution center,single type of transportation goods,the same vehicle type,with time window and dynamic environment is constructed,and the corresponding two models including local path planning(Dijkstra algorithm)and global path planning(genetic algorithm)are designed Segment algorithm and use Python to solve.On the basis of the dynamic two-dimensional electronic map,the AGV material transportation path in the workshop of the general assembly plant of company a is planned.In order to verify the validity of the model,the situation that AGV turns,AGV meets AGV,AGV conflicts with the ring vehicle is also solved,and the number of AGV encounters with the ring vehicle,time cost and total mileage are compared,It is concluded that the time cost of AGV transportation path is better,which can improve the efficiency of material transportation.There are 31 figures,12 tables and 109 references in this dissertation.