| In the implementation process of Made in China 2025,the network in China has experienced the development process of 2G follow,3G breakthrough,4G synchronization and 5g leading.Smart phone has become one of the most popular smart terminal products and mobile phone parts manufacturing enterprises have also transformed from traditional manufacturing to intelligent manufacturing.The manufacturing enterprises of mobile phone middle frame and back cover adopt mass production mode.There are many processing units in the workshop,with high degree of automation.The application of AGV(automated guided vehicle)can improve the production efficiency and logistics level of the workshop.Research and development of AGV control system and multi AGV path planning are of great significance to improve workshop automation.This thesis has completed the following four aspects of work:First of all,based on the research background of mobile phone middle frame and back cover intelligent manufacturing workshop,this thesis analyzes the AGV path planning problem in detail.It introduces the level and business process of intelligent workshop and describes the types of AGV path congestion after summarizing the characteristics of AGV path planning problem.Finally,A reasonable hypothesis is made for the research,multi AGV path planning considering path congestion.Secondly,according to the working characteristics of the intelligent workshop unit,the simulation model of the intelligent workshop unit is built by using the Plant Simulation software,and the working principle of the unit is described.According to the production layout of the workshop,the simulation model of a classic process intelligent workshop is built and introduced.Then,based on the simulation platform,this thesis proposes any single AGV path search algorithm which can search all reachable paths between any two points in any closed path.On this basis,combined with the characteristics of intelligent workshop production,this thesis proposes a traffic rule method to solve node congestion,and also proposes a multi AGV path planning algorithm to solve resource competition congestion.Finally,the design and development of AGV control system are introduced,including AGV control system development tools,AGV control system architecture,AGV control system functional modules,such as AGV management submodule,task management submodule,etc.Taking AGV control system as the experimental platform,the effectiveness and authenticity of AGV path planning algorithm are verified. |
