基于多网融合的智能照明系统的机器人导航应用研究

发布时间：2018-04-14 18:53

本文选题：智能照明 + ZigBee技术　；参考：《深圳大学》2017年硕士论文

【摘要】：随着“三网合一”、“三屏合一”的概念[1]不断被提出,人们越来越热衷于智能化的生活,将LED照明设备与物联网相结合的照明系统的应用越来越多,然而现有的智能照明系统大多只能实现单一的无线控制,并不能称之为真正的智能。另一方面,随着物联网技术的发展和智能设备的普及而兴起的室内定位技术,人们对复杂的室内定位与导航的需求日益增加。同时,由于卫星定位无法完全覆盖室内环境,国内外的许多定位方案普遍存在设备成本高、定位精度低、系统实施工作量巨大的问题,没有得到大规模普及。本文针对当前智能照明系统存在的问题,遵循ZigBee联盟的智能照明标准协议和安全可靠、经济节能、简易安装的照明原则,设计一套智能化、标准化、互联网化和人性化的智慧互联照明系统。主要是由ZigBee网关、ZigBee路由节点、云端后台服务器、照明设备、PC智能监控上位机和手机移动端构成。可实现ZigBee网络与互联网的通信,云端服务器作为照明系统的数据处理和分析中心,使得用户不仅能通过远程无线的方式设置个人偏好的灯光情景模式,还可以使用该网络传输数据与信息。同时,当前市场上室内定位的方案普遍存在成本高、定位精度不足、设备部署复杂的问题。针对这一问题,本文通过对无线定位算法、无线射频技术、传感器技术等基础理论进行了深入研究与分析,提出了以无线室内定位技术为基础,航迹导航技术为辅的室内混合定位导航方案。在智能照明系统的基础上,不增加照明设备硬件成本的前提下,通过优化定位算法和设计ZigBee定位节点程序,设计出一套低成本、低功耗、网络容量大的ZigBee定位辅助系统。特别适合于屏蔽卫星导航的室内定位服务的需求,如机场大厅、超市、餐饮、图书馆、仓库等需要定位服务的环境,在提供位置信息的同时还可推送需要的信息。最后,搭建系统实验平台,对系统的各种照明控制模式的实现效果和移动机器人的定位导航功能进行了实验测试,并对整个实验的结果进行分析和评估。
[Abstract]:With the concept of "three nets in one", the concept of "three screens in one" has been put forward constantly. People are more and more interested in intelligent life, and more and more lighting systems that combine LED lighting equipment with the Internet of things are applied.However, most of the existing intelligent lighting systems can only achieve a single wireless control, can not be called true intelligence.On the other hand, with the development of Internet of things technology and the popularity of intelligent devices, the demand for complex indoor positioning and navigation is increasing.At the same time, because satellite positioning can not completely cover the indoor environment, many positioning schemes at home and abroad generally have the problems of high equipment cost, low positioning accuracy, huge workload of system implementation, and have not been popularized on a large scale.In view of the problems existing in the current intelligent lighting system, this paper designs a set of intelligent and standardized lighting standards based on the ZigBee Alliance's Intelligent Lighting Standard Protocol and the principles of security and reliability, economy and energy saving, and simple installation.Internet-based and humanized intelligent interconnected lighting system.It is mainly composed of ZigBee gateway ZigBee routing node, cloud background server, lighting equipment PC intelligent monitoring host computer and mobile phone terminal.The communication between ZigBee network and Internet can be realized. The cloud server is the data processing and analysis center of lighting system, which enables users not only to set up their preferred lighting scene mode through remote wireless mode, but also to use the cloud server as the data processing and analysis center of the lighting system.The network can also be used to transmit data and information.At the same time, the current indoor positioning schemes generally have the problems of high cost, insufficient positioning accuracy and complex equipment deployment.In order to solve this problem, this paper studies and analyzes the basic theories of wireless positioning algorithm, radio frequency technology, sensor technology and so on, and puts forward the wireless indoor positioning technology as the foundation.The indoor mixed positioning and navigation scheme supplemented by track navigation technology.On the basis of intelligent lighting system and without increasing the hardware cost of lighting equipment, a set of low cost, low power consumption and large network capacity ZigBee positioning auxiliary system is designed by optimizing location algorithm and designing ZigBee location node program.It is especially suitable for indoor positioning services such as airport hall, supermarket, catering, library, warehouse and so on, which can provide location information and push the needed information at the same time.Finally, the system experimental platform is built, the effect of various lighting control modes and the positioning and navigation function of mobile robot are tested, and the results of the whole experiment are analyzed and evaluated.
【学位授予单位】：深圳大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP242;TN92

【参考文献】