摘 要随着物联网技术的快速发展,监测、定位和导航得到了人们越来越多的关注。特别是在室内环境下,比如在大型商场、机场、候车室、停车场、超市等,人们需要对人员、物品、设备等进行定位,确定其位置。WSN因具有部署灵活、无需布线等优点,已经被应用到定位系统中。本文利用WSN进行室内定位系统的设计。83933
在分析WSN定位原理的基础上,应用4个CC2530模块搭建了室内定位小型WSN,在设定的直角坐标系中,选择其中3个作为已知位置信息的参考节点,1个作为未知节点。在Qt Creator软件开发平台上编写加权质心定位算法,将未知节点接收到的三个参考节点的信号强度转换为权值,实现了未知节点位置的计算。
系统测试结果表明:该定位系统的定位结果较准确,虽然室内障碍物较多,但通过实时测量调整无线信号衰减模型参数,实际定位误差约为20cm。
毕业论文关键词:WSN;加权质心;定位
Abstract With the rapid development of Internet of things technology, more and more people pay attention to the monitoring, positioning and navigation。 Especially in the indoor environment, such as in large shopping malls, airports, waiting rooms, parking lots, supermarkets, etc。, people need to locate the personnel, goods, equipment, etc。, to know their location。 WSN has been applied to positioning system because it has the advantages of flexible deployment, no wiring and so on。 In this paper, the design of indoor positioning system based on WSN。
In the analysis of WSN positioning principle based on, four CC2530 module application built indoor positioning small WSN, in the setting of the Cartesian coordinate system, choose one of three as the reference node location is known, a the unknown node。 The weighted centroid localization algorithm is written on the Creator Qt software development platform。 The signal strength of the three reference nodes received by the unknown node is converted to the weight, and the calculation of the unknown node position is realized。
The system test results show that the positioning results of the positioning system is more accurate, although the indoor obstacles are more, but through real-time measurement and adjust the parameters of the wireless signal attenuation model, the actual positioning error is about 20cm。
Key words: WSN;weighted centroid; position
目录
第一章 绪论 1
1。1 课题的研究背景和意义 1
1。2。1 国外研究现状 2
1。2。2 国内研究现状 2
1。3 论文组织架构 3
1。4 本章小结 4
第二章 室内定位技术和WSN概述 5
2。1 常见室内定位技术 5
2。1。1 蓝牙定位技术 5
2。1。2 红外定位技术 5
2。1。3 Wifi定位技术 5
2。1。4 超声波定位技术 6
2。1。5 WSN定位技术 6
2。2 WSN概述 6
2。2。1 WSN结构特点 6
2。2。2 ZigBee协议 7
2。2。3 WSN定位 8
2。3 定位系统的评价指标