基于ZIGBEE车库环境监控与定位系统的研究

发布时间：2018-01-14 11:29

本文关键词：基于ZIGBEE车库环境监控与定位系统的研究　出处：《天津工业大学》2017年硕士论文　论文类型：学位论文

【摘要】：随着人们生活水平的提高,私家车辆与日俱增,为了解决停车难的问题,政府和企业建设了大量的地下停车库。由于地下车库存在环境复杂,空气流通不畅,视野不开阔等缺点,对管理员和用户都造成了一定的不便,比如车库内温湿度较大,对汽车有一定的损害,甚至容易发生火灾。为了解决用户找不到车位的现象,很多车库使用人工导引的形式,这造成很大的人力和物力的浪费。综上所述,构建一套智能的车库环境监控与定位系统将具有非常重要的现实意义。为此,本文基于ZigBee技术提出了一种新型的室内车库环境监控与定位系统。ZigBee技术作为一种新兴的短距离双向无线通信技术,以其低功耗、低成本、低复杂度等优点,已经被广泛应用于许多领域。本系统结合ZigBee无线透传技术和定位技术,实现了车库环境监控和车辆的定位功能。系统包括上位机和下位机两部分,上位机的作用是负责节点环境信息的监测、管理、报警以及车辆位置信息的显示。下位机包含两套ZigBee网络,一套负责对节点环境信息如:温度、湿度、烟雾和噪声等信息的采集和上传,并对采集的环境数据信息进行分析、处理,当数据异常时微处理芯片控制外设及时做出相应处理。另一套ZigBee网络负责车辆的定位,定位系统由ZigBee参考标签、待定位标签、路由器和协调器组成,利用ZigBee标签具有一定的发射功率的特点,通过ZigBee路由器采集ZigBee参考标签和待定位标签的地址值和信号强度,然后将自身地址和接收到的数据传送给ZigBee协调器,由协调器发送给电脑,利用软件通过算法对数据进行处理,获得待定位标签的坐标,从而实现定位功能。为了进一步优化定位精度,本文还提出了一种改进的LANDMARC定位算法,改进算法是传统LANDMARC算法和质心算法的结合,利用两次定位的思想,取多次定位的质心作为最终定位坐标,通过MATLAB仿真和实验验证,发现改进算法相比于传统算法定位精度有了明显的提高。
[Abstract]:With the improvement of people's living standards, private cars are increasing day by day. In order to solve the problem of parking difficulties, the government and enterprises have built a large number of underground parking garage. Vision is not open and other shortcomings, to the administrator and users have caused some inconvenience, such as the larger temperature and humidity in the garage, there is certain damage to the car. Even prone to fire. In order to solve the phenomenon that users can not find parking space, many garage use manual guidance form, which caused a lot of human and material waste. To sum up. Building an intelligent garage environment monitoring and positioning system will have very important practical significance. In this paper, a new indoor garage environment monitoring and positioning system. ZigBee is proposed based on ZigBee technology, as a new short distance bidirectional wireless communication technology, with its low power consumption. The advantages of low cost and low complexity have been widely used in many fields. This system combines ZigBee wireless transmission technology and location technology. The system includes two parts: the upper computer and the lower computer. The role of the upper computer is to monitor and manage the node environmental information. Alarm and vehicle location information display. The lower computer includes two sets of ZigBee network, one set is responsible for the node environmental information such as temperature, humidity, smoke and noise information collection and upload. And the collected environmental data information analysis, processing, when the data exception micro-processing chip control peripheral timely processing. Another set of ZigBee network is responsible for vehicle positioning. The positioning system is composed of ZigBee reference tag, waiting to be located label, router and coordinator. The ZigBee tag has some characteristics of transmitting power. The address value and signal strength of the ZigBee reference label and the tag to be located are collected by the ZigBee router, and then the address and the received data are transmitted to the ZigBee coordinator. It is sent to the computer by the coordinator, and the data is processed by the software through the algorithm to obtain the coordinates of the tag to be located, so as to realize the positioning function. In order to further optimize the positioning accuracy. This paper also proposes an improved LANDMARC localization algorithm. The improved algorithm is a combination of traditional LANDMARC algorithm and centroid algorithm, using the idea of twice localization. Taking the centroid of multiple positioning as the final positioning coordinate, it is found that the accuracy of the improved algorithm is obviously higher than that of the traditional algorithm through MATLAB simulation and experimental verification.
【学位授予单位】：天津工业大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：U491.71;TN92

【相似文献】