Research Of Multi-path Optimization Method For Intelligent AGV Based On QR Code Navigation

Automatic Guided Vehicle(AGV)is also known as the handling robot,which is an important link in modern intelligent logistics system.With the advent of the 4.0 era of industry,warehousing logistics industry also needs to develop.Therefore,how to design a multi-robot intelligent navigation system and realize the changing from automatic logistics transportation to intelligent transformation has become the current research focus.This paper is based on the actual application scenario and takes intelligent logistics warehouse as the research background.Using the method of the QR codes navigation helps to index the landmarks.In the case of multiple paths,AGV selects the best path in the logistics warehouse.At the same time,this paper studies the AGV multi-path navigation strategy.The AGV multi-path scheduling strategy is designed for the occurrence of deadlocks under the navigation strategy.First,the navigation and scheduling system of AGV is designed.By comparing different navigation technologies and combining the actual environment,the analysis is based on QR codes navigation.Using QR codes and grid method,the warehouse is modeled and the corresponding grid electronic map is designed.Then the AGV multi-path navigation strategy is studied on the basis of the electronic map.Combining with the classic shortest path algorithm and the actual warehouse environment,three different AGV shortest path algorithms are obtained.The adaptive adjustment path planning algorithm is designed for the environment map of different types and different types and different needs in reality,and the experiment is carried out by Matlab.The problem of multi-path deadlock occurred in the navigation strategy is analyzed,the AGV deadlock problem model is established,and the multi-path scheduling strategy of AGV is designed.Finally,the real environment of a warehouse is modeled,the AGV status attribute is configured and the dynamic task order is added through OpenTCS simulation experiment platform.The experiment results show that there is no such phenomenon as collision,deadlock and long jam in the dynamic operation of multi-AGV and multi-task order.The optimal path is monitored and all the next tasks are successfully completed,which verifies the feasibility,effectiveness and robustness of the navigation system.