Research On AGV Group Dispatching Decision Of Port Container

With the development and growth of the logistics industry,the degree of logistics automation has gradually improved,especially the progress of science and technology,providing strong support for the development of the logistics industry.The logistics industry is developing in the direction of rapidity,economy,convenience and safety.How to quickly,efficiently and economically complete item classification,transportation and storage is the key to scheduling.The scheduling strategy will be the soul of the entire scheduling.Scholars at home and abroad have mostly studied the path planning of the AGV system.Based on the existing research,this paper optimizes the optimal path planning of the multi-AGV and its adjustment,obstacle avoidance and other strategies,and improves its deficiencies.In this paper,the improved two-stage control method is used to plan the walking path and motion state of the AGV.First of all,take corresponding measures for the factors affecting dispatch efficiency,optimize the layout of traditional terminals,increase and refine the functional area,select two-way lanes,establish a coordinate system,establish an environmental model and establish an environmental electronic map.Then plan through the two-stage control method.The first stage is the offline planning stage,planning the AGV's walking route,using the cuckoo algorithm with a moderate function to plan one by one and find the optimal path of each AGV car.The second stage is the online planning stage,which plans the movement state of the AGV,first finds the common nodes between the paths,and then calculates and updates the time windows of each AGV to reach these nodes,and compares whether the time window corresponding to the conflicting node exists Intersection,based on which to detect whether the paths conflict with each other.Then adopt the combination of traffic rules method,priority method,and improved speed adjustment method to regulate the AGV movement state to ensure the barrier-free operation.At the same time,online monitoring of the operationstatus of each AGV,when the actual AGV operation does not match the planning,re-planning the movement status.When the AGV successfully reaches the target node,it will delete the relationship between the AGV and all nodes,and then wait to accept the new task.Adopt C # and Matlab to compile multi-logistics equipment scheduling software based on time window,simulate multiple AGV scheduling operations,control and monitor the entire scheduling process.Multi-task AGV scheduling operations are simulated and tested through logistics equipment scheduling software.Plan the corresponding optimal path for each AGV,and after conflict adjustment,each AGV can pass through the conflict nodes in an orderly manner to achieve barrier-free operation.In order to verify its advantages and disadvantages,the parking regulation method is used to adjust the path conflicts in the above tasks.The results show that the scheduling can be completed faster using the new adjustment strategy.After many experiments,it has been proved that the new scheduling strategy can successfully complete the scheduling of multiple AGVs.Not only can it plan the optimal path that meets the requirements,and adjust the conflicts,but it can also avoid conflicts during the adjustment process.The problems caused by traditional adjustment methods have greatly improved the operating efficiency of the entire dispatch,and have high practicability.