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Design And Implementation Of An Indoor Environment Monitoring System Based On Android

Posted on:2020-12-06Degree:MasterType:Thesis
Country:ChinaCandidate:T LiuFull Text:PDF
GTID:2431330575960160Subject:Electronics and Communications Engineering
Abstract/Summary:PDF Full Text Request
With the rapid development of social economy,environmental problems have gradually emerged.People begin to pay more and more attention to the quality of indoor living and office environment.If people are in an indoor environment with environmental parameters lower than the national standard for a long time,it will have adverse effects on people's bodies,which makes it more urgent to need a safer,healthier and more comfortable indoor environment.In order to solve the above problems,this paper designs a set of indoor environmental monitoring system based on Android system after fully investigating the indoor environmental monitoring systems at home and abroad,which can realize real-time monitoring of temperature,Humidity,PM2.5 and smoke state as well as adjustment of environment.This system is mainly composed of upper computer and lower computer.The upper computer uses Android system to display the environment variables from the lower computer to the touch screen through human-computer interaction,thus realizing the function of real-time monitoring.According to the operation instructions of the upper computer,the lower computer controls the environment regulator to complete the function of adjusting the environment.An automatic control module is added to the system to predict the comfort level model of human body by using neural network,thus realizing intelligent control and improving the comprehensive capability of the system.Finally,through the test of the whole system,it is verified that the design of the system is reasonable,it can monitor the indoor environment parameters through practice and give feedback to the user's operation in time,the designed function has reached the expected goal of the product and has a good development prospect.
Keywords/Search Tags:Android, indoor environment monitoring, human comfort, neural network
PDF Full Text Request
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