基于Zigbee室内定位的智能导游系统研究

发布时间：2018-06-25 06:27

本文选题：Zigbee + BP神经网络　；参考：《广东工业大学》2014年硕士论文

【摘要】：伴随着旅游业的快速发展,人们对智能导游系统的需求与日俱增。本文综述了国内外电子导游的现状,通过对大型展馆内智能导游系统的特点研究,以及室内定位技术方案的优劣势分析,最终采用了基于Zigbee无线传感网络智能导游系统的方案。在导师的指导下,本人主要进行如下工作： 1、查阅了大量资料,研究国内外电子导游和室内定位技术、背景,并针对性的给出了基于蓝牙、WIEI、RFID、超带宽、Zigbee等技术的智能导游系统方案,对比分析方案的优缺点,研究了大型展馆的导游特点,在此基础上确定本系统的最终方案； 2、针对基于RSSI测距技术中非视距误差以及定位模型参数受环境影响导致室内定位精度不高的问题,通过研究Zigbee无线信号的传播模型,分析无线模型中的参数A和N与环境的关系,以及参数对接收信号强度RSSI (Received Signal Strength Indicator)测距的影响。提出了一种新的实时动态参数定位方法。通过运用BP神经网络算法对非视距下RSSI测距误差进行修正,然后通过选定的参考节点之间相互通信,实时动态地估算出环境参数值。实验证明,该算法不但缩减了在RSSI测距技术中的非视距误差,而且能根据实际环境实时动态地调整定位模型的参数,有效地提高定位精度； 3、设计和实现了基于Zigbee室内定位的智能导游系统,采用ARMSKY-CC2431EM无线ZigBee定位模块搭建了Zigbee无线网络定位系统平台,进行Zigbee定位系统模拟仿真。搭建了Android终端平台,在Linux内核的Android导游终端上实现了Zigbee节点的控制和应用软件的开发,该终端系统一方面要实现Zigbee节点的串口通信,并对信息进行采集和分析,另一方面要实现操作简洁、响应迅速、界面友好的的信息显示。本文所设计的系统适用于展馆、博物馆等大型室内环境下进行电子导游。本系统主要由Zigbee定位系统、服务器系统和Android导游终端三部分组成。首先Zigbee定位系统传送信息给服务器,然后服务器系统平台通过优化算法确定了游客游览景点的位置,把景点编号和个性化的服务信息传给Android导游终端,最后Android应用软件为游客提供个性化的服务。本文通过实验证明了系统的可行性,并针对其性能进行了大量实验测量。
[Abstract]:With the rapid development of tourism, the demand for intelligent tour guide system is increasing day by day. This paper summarizes the present situation of electronic tour guides at home and abroad. By studying the characteristics of intelligent tour guide system in large exhibition hall and analyzing the advantages and disadvantages of indoor positioning technology, the scheme of intelligent guide system based on Zigbee wireless sensor network is adopted. Under the guidance of my tutor, I mainly do the following work: 1. I have consulted a large number of materials, studied the domestic and foreign electronic tour guide and indoor positioning technology, background, The intelligent tour guide system scheme based on Bluetooth WIEII-RFIDand Zigbee technology is given. The advantages and disadvantages of the scheme are compared and analyzed, and the characteristics of the tour guide of the large exhibition hall are studied. On this basis, the final scheme of the system is determined. 2. Aiming at the problem that the non-line-of-sight error based on RSSI ranging technology and location model parameters are affected by the environment, the indoor positioning accuracy is not high, and the propagation model of Zigbee wireless signal is studied. The relationship between the parameters A and N in the wireless model and the environment, and the influence of the parameters on the received signal strength RSSI (received signal strength Indicator) ranging are analyzed. A new real-time dynamic parameter location method is proposed. By using BP neural network algorithm to correct the RSSI ranging error in the non-line-of-sight range, the environmental parameters are estimated dynamically and in real time through the communication between the selected reference nodes. Experiments show that the algorithm not only reduces the non-line-of-sight error in RSSI ranging technology, but also can dynamically adjust the parameters of the location model in real time according to the actual environment, and effectively improve the positioning accuracy. 3. The intelligent guide system based on Zigbee indoor positioning is designed and implemented. The Zigbee wireless network positioning system platform is built by using ARMSKY-CC2431EM wireless ZigBee positioning module, and the simulation of Zigbee positioning system is carried out. The Android terminal platform is built, and the control of Zigbee node and the development of application software are realized on the Android guide terminal of Linux kernel. On the one hand, the terminal system must realize the serial port communication of Zigbee node, and collect and analyze the information. On the other hand, to achieve simple operation, rapid response, interface friendly information display. The system designed in this paper is suitable for electronic tour guide in large indoor environment such as exhibition hall and museum. The system is mainly composed of Zigbee positioning system, server system and Android tour guide terminal. First, the Zigbee positioning system transmits information to the server, and then the server platform determines the location of the tourist attractions through the optimization algorithm, and transmits the number and personalized service information of the tourist attractions to the Android tour guide terminal. Finally, the Android application provides personalized service for tourists. In this paper, the feasibility of the system has been proved by experiments, and a large number of experiments have been carried out on the performance of the system.
【学位授予单位】：广东工业大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN92

【引证文献】