基于移动端的智能家居环境监测子系统关键技术的研究

发布时间：2018-03-22 00:11

本文选题：物联网　切入点：智能家居　出处：《广西师范大学》2017年硕士论文　论文类型：学位论文

【摘要】：智能家居是指一套具有舒适的居住功能和便捷的信息交互功能的家居系统,它使人们可以享受更加舒适便捷的生活。因其具有很好的发展前景,受到了来自政府部门和社会各界的广泛关注,从20年代80年代被提出,发展到现在已经历了三代的技术更新,目前的第四代智能家居模式,在物联网技术的推动下正向着简化实用和更加人性化的方向发展。本文应用物联网技术,结合“云+端”的智能家居模式,设计了一种可以获取监测环境下的全景照片、温湿度、空气质量状况,同时能向远端现场发送信息功能的环境监测系统。针对移动端在3G、4G的网络环境下使用流媒体访问监测数据时,造成数据流量和电量消耗大的问题,本系统采用了以图片作为传输格式的方式进行图像采集,并做了全景图像的拼接。结合传感器采集到的温湿度和空气质量的数据,共同组成一套智能家居环境监测子系统。在本系统的研究开发过程中,作者主要在以下三个方面进行展开:1.嵌入式系统开发:从监测系统的功能入手,选择了一套利于课题展开的硬件平台,并添置了监控系统中需要的功能模块。搭建硬件运行环境,进行各个功能模块运行的代码设计。研究中国移动提供的物联网云平台oneNet的开发技术,实现监测系统数据远程储存和读取的功能。2.图像拼接算法研究:通过查询文献,了解了市面上主流的图像拼接技术的实现过程和基础算法,并对每种算法的原理做了深入的研究。通过用OpenCV的视觉函数工具包来实现算法,对比分析了三种特征点检测算法和OpenCV提供的两种匹配器的拼接效果和运行速度,最后对此监控系统中采用基于ORB算法的图像拼接技术做出评价。3.移动端应用程序开发:实现了基于iOS端的应用开发和应用React Native技术的跨平台应用开发两套方案,其中应用React Native技术的跨平台应用具有开发速度快、学习成本低支持热更新等优点,可以同时完成iOS端和Android端的开发;而基于iOS端的原生应用在流畅性和兼容性上比React Native更具优势。本文提出了一种物联网环境监测子系统方案,综合了嵌入式开发、图像处理和移动开发的技术,并对实现过程中的关键技术进行了研究,是对“云+端”的智能家居模式进行的一次很好的应用。
[Abstract]:Smart home is a home system with comfortable living function and convenient information interactive function. It enables people to enjoy a more comfortable and convenient life. Received extensive attention from government departments and all walks of life, from the 1980s was proposed, and now has experienced three generations of technological updates, the current fourth generation of smart home model, With the promotion of the Internet of things technology, it is developing towards the direction of simplification, practicality and humanization. In this paper, we design a kind of panoramic photos under the monitoring environment by using the technology of the Internet of things and combining the "cloud end" smart home mode. Environment monitoring system with temperature and humidity, air quality, and function of sending information to remote site. When mobile terminal uses streaming media to access monitoring data in 3GG 4G network environment, the problem of large consumption of data flow and electricity is caused. The system uses the image as the transmission format for image acquisition, and makes the panoramic image mosaic. Combined with the sensor collected temperature and humidity and air quality data, In the course of the research and development of this system, the author mainly carries on the development of the embedded system in the following three aspects: starting with the function of the monitoring system, A set of hardware platform is selected to facilitate the development of the project, and the functional modules needed in the monitoring system are added to build the hardware running environment. Research on the development technology of cloud platform oneNet provided by China Mobile, realize the function of remote storage and reading of monitoring system data .2.Research on image splicing algorithm: through consulting literature, The realization process and basic algorithm of the mainstream image mosaic technology in the market are understood, and the principle of each algorithm is deeply studied. The algorithm is realized by using the visual function toolkit of OpenCV. The splicing effect and running speed of three feature point detection algorithms and two matching devices provided by OpenCV are compared and analyzed. Finally, the image mosaic technology based on ORB algorithm is used to evaluate the monitoring system. 3. The development of mobile application program: the application development based on iOS and the cross-platform application development with React Native technology are realized. The cross-platform application based on React Native technology has the advantages of fast development speed, low learning cost to support hot update and so on. The development of iOS and Android can be completed at the same time. The native application based on iOS has more advantages than React Native in fluency and compatibility. In this paper, an environment monitoring subsystem of the Internet of things is proposed, which integrates embedded development, image processing and mobile development technology. The key technology in the process of implementation is studied, which is a good application of the "cloud" smart home mode.
【学位授予单位】：广西师范大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TU855;TP274

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