基于物联网的智能家居系统的设计与实现
发布时间：2018-07-20 19:55
【摘要】：随着传感器技术、RFID射频技术和嵌入式技术的深入发展，物联网成为了国内外研究的热点，掀起了继计算机、互联网的信息产业第三大浪潮。智能家居是科技发展和人们提高生活水平的产物，物联网的发展实现了物物相连，也带来了智能家居技术上的飞跃进步，，使智能家居深入到千家万户不再遥不可及。作为大数据的重要来源之一，物联网智能家居也必须与时俱进，具备存储和处理大数据的能力。 在物联网智能家居中，传感器节点对家里的数据进行采集后需要上传给服务器，由服务器通过分布式文件系统进行存储和处理；用户通过WEB站点访问服务器，服务器再将命令下发给对应家庭的智能网关，智能网关下传命令给传感器网络，控制整个家居，如室内的窗帘、灯光、可燃气体和室内温湿度等。智能家居的传感器网络每时每刻都在采集和上传数据，所以其产生的数据具备大数据的特点。目前研究和实现的物联网智能家居系统并没有考虑到大数据的存储问题，本文设计并实现的物联网智能家居系统可以解决智能家居的大数据的存储问题。该系统采用WCF模式和HDFS文件存储系统，通过Java和Eclipse平台实现B/S架构的物联网智能家居系统的登录模块、窗帘模块、灯光模块、可燃气体检测模块和室内温湿度模块。HDFS是专门针对大数据存储的，可以对物联网智能家居产生的大数据进行存储。WCF是将服务和请求分离的技术，应用程序可以直接调用和请求服务。用户可以对家居的传感器网络采集温湿度和可燃气体的数据进行查看，并对电动窗帘和智能灯光的打开、关闭、调节功能进行控制。
[Abstract]:With the development of sensor technology RFID RF technology and embedded technology the Internet of things has become a hot spot at home and abroad and set off the third wave of information industry after computer and Internet. Smart home is the result of the development of science and technology and the improvement of people's living standard. The development of the Internet of things realizes the connection of objects and objects, and also brings the leap progress of smart home technology, which makes the smart home go deep into thousands of households no longer far away. As one of the important sources of big data, Internet of things smart home must also keep pace with the times and have the ability to store and process big data. In the Internet of things smart home, the sensor node needs to upload the data to the server after collecting the data in the home, which is stored and processed by the server through the distributed file system, and the user visits the server through the Web site. The server sends the command to the intelligent gateway of the corresponding home, and the intelligent gateway sends the command to the sensor network to control the whole home, such as the curtain, light, combustible gas and indoor temperature and humidity. Smart home sensor network collects and uploads data all the time, so the data generated by smart home has the characteristics of big data. The current research and implementation of the intelligent home system does not consider the storage problem of big data. The design and implementation of the intelligent home system can solve the storage problem of smart home big data. The system adopts WCF mode and HDFS file storage system. Through Java and Eclipse platform, the login module, curtain module, lighting module of the Internet of things smart home system based on B / S architecture are realized. The combustible gas detection module and the indoor temperature and humidity module. HDFs are specially designed for big data storage. The big data generated by the Internet of things smart home can be stored. Applications can invoke and request services directly. Users can collect temperature, humidity and combustible gas data from the home sensor network, and control the opening, closing and adjusting functions of electric curtains and intelligent lights.
【学位授予单位】：吉林大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TU855;TP391.44;TN929.5
本文编号：2134601
[Abstract]:With the development of sensor technology RFID RF technology and embedded technology the Internet of things has become a hot spot at home and abroad and set off the third wave of information industry after computer and Internet. Smart home is the result of the development of science and technology and the improvement of people's living standard. The development of the Internet of things realizes the connection of objects and objects, and also brings the leap progress of smart home technology, which makes the smart home go deep into thousands of households no longer far away. As one of the important sources of big data, Internet of things smart home must also keep pace with the times and have the ability to store and process big data. In the Internet of things smart home, the sensor node needs to upload the data to the server after collecting the data in the home, which is stored and processed by the server through the distributed file system, and the user visits the server through the Web site. The server sends the command to the intelligent gateway of the corresponding home, and the intelligent gateway sends the command to the sensor network to control the whole home, such as the curtain, light, combustible gas and indoor temperature and humidity. Smart home sensor network collects and uploads data all the time, so the data generated by smart home has the characteristics of big data. The current research and implementation of the intelligent home system does not consider the storage problem of big data. The design and implementation of the intelligent home system can solve the storage problem of smart home big data. The system adopts WCF mode and HDFS file storage system. Through Java and Eclipse platform, the login module, curtain module, lighting module of the Internet of things smart home system based on B / S architecture are realized. The combustible gas detection module and the indoor temperature and humidity module. HDFs are specially designed for big data storage. The big data generated by the Internet of things smart home can be stored. Applications can invoke and request services directly. Users can collect temperature, humidity and combustible gas data from the home sensor network, and control the opening, closing and adjusting functions of electric curtains and intelligent lights.
【学位授予单位】：吉林大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TU855;TP391.44;TN929.5
【参考文献】
相关期刊论文 前1条
1 张永刚;王斌;;物联网技术在智能家居中的应用[J];智能建筑与城市信息;2012年02期
本文编号：2134601
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