Real-time Monitoring And Dispatching Of Personel And Vehicles Inside A Buck Cargo Distribution Center

With the rapid development of the logistics industry,the tests on logistics companies have increased,and competition among some large logistics companies has intensified.How to achieve efficient warehousing(handling,loading and unloading)of bulk cargoes has become a key point for enterprises to reduce costs and increase competitiveness.This article takes bulk cargo in the distribution center as the research object,integrates large-scale 5G Massive MIMO positioning technology and ERP system management and monitoring,real-time monitoring and scheduling of personnel and vehicles in the entire bulk cargo distribution center,and achieves efficient warehouse operations.The main research contents of the thesis include:(1)Optimization of human and vehicle positioning monitoring and dispatching operations in bulk cargo distribution centers.Applying 5G-based massive MIMO positioning technology to bulk cargo distribution centers,adding a new monitoring and dispatching module to the original ERP system of the distribution center,and the distribution center handlers configure mobile positioning terminals,so that the ERP system can display location information in real time It is convenient to dispatch,and the distribution center personnel and forklift are reasonably monitored and dispatched as a whole.(2)Extraction of indoor positioning signals of large distribution centers.Aiming at the optical characteristics of the 5 G mm Wave positioning signal in this paper,a novel channel compression method is proposed for preprocessing of MIMO indoor positioning signals.The channel compression method is used to appropriately quantify and select the received mm Wave signal,that is,the LOS line-of-sight positioning signal.Component culling,while maintaining the accuracy of position estimation.(3)Design and verification of indoor positioning fusion algorithm for large distribution centers.Aiming at the indoor environment characteristics of large distribution centers,a new fusion positioning method based on RSS-AOA is proposed.This method can provide accurate estimation of the distance and direction of the target under the conditions of LOS and NLOS propagation.(4)Establishment and verification of forklift handling scheduling model.In order to minimize the handling cost and rationally use the handling vehicle(Forklift)to balance the workload of the forklift,establish an objective model that takes into account both the handling cost and the length difference between the handling lines,and construct an improved genetic algorithm based on the characteristics of the model,using RMPCIM insertion Method to improve the global search ability of the algorithm and speed up the iterative process of the algorithm.At the same time,a new multi-level evolution iterative process is used in the population iteration to improve the superiority of the algorithm.