Design Of Smart Home Indoor Air Quality Testing,Evaluating And Monitoring System

With the rapid development of science and technology,people's living standards have been greatly improved,but at the same time environmental pollution has become a public topic,and modern people stay in the room most of the time,it can be said that indoor air quality directly affects people's physical and mental health.Traditionally,people open window,open air conditioning,open air humidifier and other devices by manual control through the subjective judgment of indoor and outdoor air quality to adjust the indoor air quality,there is no reliable reference standard.The operation has a certain blindness,on the one hand,it can not effectively improve the air quality,on the other hand also caused part of the energy waste.Therefore,in order to realize the accurate evaluation and regulation of the indoor air quality more effectively,this paper presents the design scheme of smart home indoor air quality detection,evaluation and monitoring system based on embedded system.The main research work is as follows:(1)According to the demand of indoor air quality detection and indoor air quality national standards,the indoor air quality testing device is designed and developed;in order to achieve automatic control of home appliances which are air conditioning,air humidifier and other devices,the digital intelligent control terminal and infrared intelligent control terminal are designed and developed;according to the requirement of wireless network communication,the wireless WIFI module is designed and developed.(2)The embedded server and client network model is designed,and the client and server software is developed.The client's software development includes: indoor air quality detection module's software development,digital intelligent control terminal module's software development,infrared intelligent control terminal module's software development,wireless wifi network communication's software development;The server-side software is developed based on the linux,and it achieves database development,human-computer interaction of web client,the control of intelligent control terminal for equipment,video surveillance,manual control and intelligent control.(3)Evaluation of Indoor air quality can be influenced by Multi-factors,nonlinear and stochastic fluctuation,A T-S fuzzy neural network(TSFNN)model with improved particle swarm optimization(PSO)was constructed and the indoor air quality standard evaluation table was developed according to the national standard.The model was trained with the standard evaluation table.The simulation results show that the model can evaluate the indoor environment objectively and accurately,and it is applied to the smart home indoor air quality detection,evaluation and monitoring system,it has a good application prospect.(4)Taking the laboratory of Beijing University of Technology as the research object,the indoor air quality testing,evaluation and monitoring system designed in this paper is used to carry out the actual detection,evaluation and monitoring of indoor air quality,and the actual environment is tested and analyzed under non-intelligent control and intelligent control respectively.The experimental results show the feasibility of the system design.