新风系统节点智能控制与互联网接入方法研究

发布时间：2018-05-03 20:32

本文选题：新风系统 + 物联网　；参考：《合肥工业大学》2017年硕士论文

【摘要】：结合目前我国室内空气污染严重问题,参考传统新风控制系统,本论文在研究物联网技术的基础上,结合模糊控制技术、传感器检测技术、WiFi入网通讯技术等,为了实现远程监测以及网上数据共享,提出了基于Android移动客户端的新风系统节点智能控制和接入互联网方法的研究。新风系统以模糊控制为控制方式实现智能控制调节,通过WIFI模块接入路由器,进而接入网络。以Yeelink为平台上传数据,Android手机端可以查询上传的数据,实现远程实时监测室内环境,并据此远程控制新风系统以调节室内环境。相较于经典控制理论,模糊控制特别适合非线性系统控制,它不依赖于数学模型,鲁棒性好。重点介绍了模糊控制器的设计,以颗粒物传感器和VOC传感器检测的数据作为模糊输入,通过与标准值对比得出偏差和偏差的变化,以三角形隶属度函数作为隶属度函数,求出偏差和偏差的变化的隶属度值。根据经验建立规则库,通过模糊决策得出模糊输出集,依据最大隶属度法确定模糊输出,去模糊化求得精确输出进行自动控制调节。除模糊控制器外,还简单介绍了硬件电路,并重点介绍了系统的软件设计,包括单片机编程以及基于Android智能手机的远程监测和控制程序。其中单片机部分包括模糊控制器程序设计、WIFI通讯模块程序设计、数据上传和定时查询模块程序设计。手机端包括查询模块和远程控制模块程序设计,以及其他辅助功能程序设计。最后以Yeelink服务器为平台,搭建一个新风系统进行试验。实验结果表明:模糊控制具有较快的响应,平稳性好。系统能够稳定上传数据到服务器,手机端能够远程实时监测室内环境并控制新风系统。验证了模糊控制运用于室内智能新风系统的可行性,同时将新风系统纳入物联网,这也是新风系统未来的发展趋势。
[Abstract]:Considering the serious problem of indoor air pollution in our country at present and referring to the traditional fresh air control system, this paper studies the Internet of things technology, the fuzzy control technology, the sensor detection technology and WiFi network communication technology, etc. In order to realize remote monitoring and data sharing on the Internet, this paper presents the research of intelligent control and access to Internet for nodes of fresh air system based on Android mobile client. The fresh air system uses fuzzy control as the control mode to realize the intelligent control regulation, and connects to the router through the WIFI module, and then connects to the network. Using Yeelink as the platform to upload data, the mobile phone can query the uploaded data, realize the remote real-time monitoring of indoor environment, and control the outdoor air system remotely to adjust the indoor environment. Compared with classical control theory, fuzzy control is especially suitable for nonlinear system control. It is independent of mathematical model and robust. The design of fuzzy controller is introduced emphatically. The measured data of particle sensor and VOC sensor are taken as fuzzy input, the deviation and deviation change are obtained by comparing with standard value, and the membership function of triangle is taken as membership function. The membership values of deviations and variations of deviations are obtained. The rule base is established according to the experience, the fuzzy output set is obtained by fuzzy decision, the fuzzy output is determined by the maximum membership degree method, and the accurate output is obtained by defuzzification for automatic control and adjustment. In addition to the fuzzy controller, the hardware circuit is briefly introduced, and the software design of the system is emphasized, including single-chip computer programming and remote monitoring and control program based on Android smart phone. The part of MCU includes fuzzy controller program design, data upload module and timing query module program design. Mobile phone includes query module and remote control module program design, as well as other auxiliary function program design. Finally, a fresh air system is built on the platform of Yeelink server. The experimental results show that the fuzzy control has fast response and good stability. The system can upload data to the server stably, and the mobile phone can monitor the indoor environment and control the fresh air system. The feasibility of applying fuzzy control to indoor intelligent fresh air system is verified. At the same time, the fresh air system is brought into the Internet of things, which is the development trend of fresh air system in the future.
【学位授予单位】：合肥工业大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TU83;TP273.4;TP277

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