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Research On The Intelligent Detection System For Indoor Air Quality

Posted on:2019-10-16Degree:MasterType:Thesis
Country:ChinaCandidate:S L ChenFull Text:PDF
GTID:2371330542472972Subject:Electronic and communication engineering
Abstract/Summary:PDF Full Text Request
With the expansion of China’s industrial scale,the huge consumption of energy has caused serious pollution to the environment.The fine particles floating in the air of many big cities and the harmful gases produced by house decoration,pesticides,liquefied petroleum gas cause serious damage to people’s health.The existing air quality inspection products have the disadvantages of high price,single function and low specificity.Therefore,it is of great significance to design a new intelligent detection system for indoor air quality.The paper studies air pollution problems,taking indoor air detection as the breakthrough point,combining sensor technology,embedded technology and wireless bluetooth communication technology.The bluetooth communication module,analog to digital conversion module,liquid crystal display module,touch screen control module and other auxiliary modules are designed using the STM32F103 microprocessor as the embedded development platform.The interior air quality testing module is designed with emphasis.The detection module includes a variety of sensors,which can detect volatile organic compounds,formaldehyde,PM1.0,PM2.5,PM10 and temperature and humidity in indoor air.If the concentration of air pollution in the indoor air exceeds the standard,the system will automatically judge and then drive the buzzer to realize the alarm function,and it will open the fan for the exhaust automatically.The system has bluetooth communication function,which can transmit the detected data to the mobile client in real time.A mobile phone intelligent terminal application based on java programming language is designed.It realizes the wireless bluetooth communication between the indoor detection module and the mobile terminal.The mobile application can display the environmental data sent by the detection module in real time,and the data obtained are recorded and analyzed.Based on the nonlinear approximation performance of neural network,a sensor temperature compensation scheme is designed,which effectively improves the stability,reliability and practicability of sensors.Finally,the functions of the system are detected and analyzed.Through the overall detection of the system and the analysis of the detection results,the system has reached the original design goal.The system designed in this paper has the characteristics of stable performance,high accuracy,low design cost,quick response,humanized interface and compact size.It has a certain value of engineering application.
Keywords/Search Tags:air quality inspection, sensor, bluetooth, neural network
PDF Full Text Request
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