Research On Multi-AGV Path Planning And Task Scheduling Technology For Digital Workshop

In recent years,with the implementation of the "Industry 4.0" and "Made in China 2025" development strategies,the traditional manufacturing industry is developing rapidly towards the direction of digitalization and intelligence.In the 14 th Five-year Plan of the 2021,"intelligent manufacturing" is once again the only way for the transformation and upgrading of manufacturing industry,and the construction of digital workshop is one of the key links of intelligent manufacturing.In The intelligent transformation of digital workshop construction,the intelligent transformation of logistics system is very important,while AGV is an important equipment of intelligent logistics system.It has a high degree of automation and intelligence,and is comprehensively replacing the traditional carrying equipment and developing rapidly,and is widely used in the digital workshop.Faced with the increasing operation demand and complex and changeable digital workshop application environment,the traditional AGV system has the problems of high cost,low reliability and low transportation efficiency.Therefore,it is of great significance to carry out digital workshop AGV system research to improve the production level of digital workshop and promote the construction of digital workshop.This dissertation takes a digital workshop as the application object,and carries out the research of AGV scheduling system based on the workshop operation requirements.Considering the characteristics of the current digital workshop,analyzes the shortcomings of existing workshop AGV system and digital workshop AGV system requirements;based on the requirement of low cost and high reliability of AGV system,designs AGV edge-end system structure operated by AGV dispatching subsystem,AGV control system,and gives the design scheme of AGV dispatching subsystem combined with the system structure.Combined with the actual workshop environment data,the AGV working environment and driving path are modeled by vector map.The vector map is of high quality and the data structure is compact.Based on this design path planning code,AGV can drive on the specified path in the workshop and complete the instructions under the support of precise vector data.The vector map is of high quality and the data structure is compact.Based on this design path planning code,AGV can specify the path form and complete each instruction operation in the workshop under the support of accurate vector data.Combined with the actual operation process of the workshop,with minimizing the maximum task completion time as the optimization goal,a multi-stage multiple AGV operation scheduling model is established,an improved genetic algorithm is put forward,the model is solved,and the feasibility of the algorithm is verified through different sizes and comparison with different algorithms.Based on the above research,the scheduling system and AGV system.use.Net,C#,SQL2018 and other development tools have developed an AGV scheduling system with C/S and B/S,which has five functional modules: map module,user management,vehicle management,task management and communication module.For the AGV system,we verify that the AGV system of "cloud-edge-end" works together under the command of the AGV dispatching subsystem,and the AGV can gradually complete the specified operation according to the path planning code.