Research On Three-dimensional Positioning Of Warehouse Goods Based On RFID

With the gradual expansion of warehouse scale,how to accurately grasp the location of goods in the warehouse has become a hot topic.Aiming at the problem that warehouse managers often spend a lot of time to find the location of goods because they cannot get the location accurately,the methods of locating warehouse goods in three dimensional space were studied.First of all,the traditional warehouse cargo management technology and the traditional indoor positioning method are introduced briefly,and the research background,purpose and significance are proposed.The 3D positioning algorithm based on generalized regression neural network is introduced to solve the problem of poor accuracy of traditional positioning method in complex indoor environment.The nonlinear mapping ability and signal feature extraction ability of the algorithm are better than the traditional positioning method.This method is applied to the indoor storage positioning system,and the positioning accuracy is improved to a certain extent in the presence of path loss and noise interference.Secondly,in order to solve the problem that the traversal parameters of cross validation method are limited and the optimal solution cannot be obtained,a threedimensional warehouse cargo positioning model based on multi population fruit fly Optimization Algorithm Optimizations the generalized regression neural network(MFOA-GRNN)is proposed.The best smoothing factor is selected by MFOA algorithm,and the RFID tag position of MFOA-GRNN is predicted.Compared with the GRNN based on cross validation,the RFID positioning model based on MFOA-GRNN improves the positioning accuracy,data processing ability and fitting ability to a great extent.Finally,the functional requirements of the three-dimensional positioning system of warehouse goods were analyzed.At the same time,the integrated RFID positioning system in the warehouse was constructed,including the upper application layer,positioning calculation layer,data transmission layer and information collection layer,and the system was designed and implemented.The results show that the locating effect is in accordance with the expectation.Figure 35;Table 3;Reference 52...