The Design And Implementation Of The RFID Indoor Location Sensing System

The intention of radio frequency identification technology design is to liberate human beings from large-scale,complex and uninteresting manual labor.It can provide automatic recognition of objects efficiently and provide real-time and accurate input for the processing of information systems.Due to the low price of tags and the ease of deployment of RFID systems,there is an increasing demand for this technology in Items monitoring.In particular,there is a need for a smart shelf that can sense the position information of items in real-time condition.This thesis builds a smart shelf system that senses the position information of items in real-time condition by using RFID to perform indoor location sensing technology.The system can realize the function of sensing the relative positions of the Items in the shelves,timely sensing the problems of misplacement and leakage of the Items in the shelves,thereby helping the shelf management and greatly reducing the human cost.Currently,smart shelves are based on the management of active RFID tags,which are expensive and inconvenient to use.Therefore,most of them can only be used for the sensing and monitoring of valuables such as drugs and luxury goods.For shopping centers and large shopping malls,scenes with large circulation cannot be satisfied.For this purpose,this thesis aims to provide theoretical and technical support for the construction of smart shelves nowadays by using RFID location awareness technology.The main innovations and specific work of this paper are as follows:1)Through the definition of the problem of intelligent shelves,this thesis firstly matches the theoretical value of the phase with the observed values to solve the problem of one-to-one correspondence between the position of the object and the commodity.And through the derivation of the phase matching conditions,it use the phase range and inequality conditions to complete the corresponding phase matching criteria.The comparison of the theoretical value and the measured value and the Pearson correlation coefficient are used to complete the evaluation of the phase matching,and it is proved that the matching method is feasible.2)This thesis proposes a reliability probability model based on phase matching,completes the selection of fixed points on the shelf according to the mean and variance of the labels,and completes theoretical analysis of the system reliability based on model parameters.Then the Placement of the labels on the shelves.3)In order to allow the label to be widely deployed,the perception range of the position sensing system to be expanded.In this thesis,a geometric model is established by using the RSSI partitioning method.That is,according to the model,the RSSI of the objects in the layer is less than the arithmetical difference of the RSSI of the objects between the layers,to distinguish the labels between the individual shelf.And according to the experimental parameters of the shelf,so that the smart shelf has a wide range of practical use value.