基于STM32的室內(nèi)空氣質(zhì)量監(jiān)測(cè)器的設(shè)計(jì)與研究
[Abstract]:China is a large country in rapid development. With the expansion of industrialization, environmental pollution is becoming more and more serious. In recent years, with the improvement of environmental awareness, people pay more and more attention to the impact of indoor air pollution on human health. In China, indoor air pollution is mainly caused by the low standard of building materials, the popularization of air conditioning and the inhalation of particles. The haze weather caused by PM2.5 is more harmful to human health than sandstorm. In view of the fact that the current air quality monitoring products on the market are expensive, large in size, low in portability, long in measuring cycles and sometimes requiring professional operations that cannot be popularized, An indoor air quality monitoring system with high performance-price ratio is designed in this paper. The purpose of this system is to improve people's quality of life and enable people to grasp the indoor air quality in real time. The following works are carried out and completed in this paper: 1. Firstly, according to the market demand, the whole design scheme of air quality monitoring system is put forward; Secondly, according to the overall design scheme, the hardware design of the system is completed, such as temperature and humidity sensor selection and sensor circuit design, CPU selection, MP3 circuit design and other peripheral circuit design. Third, on the basis of hardware design, the software development and implementation of each module is completed, mainly using embedded real-time operating system 渭 C/OS-II and embedded graphics system 渭 C/GUI to realize the driver of each module of the system. The system is debugged as a whole, the normality of the system is tested, the measurement accuracy of each sensor is calculated according to the collected data, and the data is fused by two levels based on BP neural network algorithm and grey correlation analysis. Get the indoor environmental quality report, summarize the work done, and improve the system.
【學(xué)位授予單位】:武漢輕工大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2015
【分類號(hào)】:X851
【參考文獻(xiàn)】
相關(guān)期刊論文 前9條
1 卜永波;羅小玲;陳一;;基于DHT11傳感器的溫濕度采集系統(tǒng)[J];計(jì)算機(jī)與現(xiàn)代化;2013年11期
2 張樂樂;李金澤;郝成才;戴冬林;向征;;淺談空氣中幾種甲醛檢測(cè)方法[J];科技信息;2013年09期
3 羅富文;吳輝;康偉;杜文廣;;STM32平臺(tái)的μC/GUI移植與圖形界面設(shè)計(jì)[J];單片機(jī)與嵌入式系統(tǒng)應(yīng)用;2012年08期
4 畢曉萍;;PM_(2.5)對(duì)環(huán)境與健康的影響探討[J];綠色科技;2012年05期
5 李萍;蘇燕辰;郭太春;;基于ARM的室內(nèi)空氣質(zhì)量監(jiān)測(cè)儀的設(shè)計(jì)[J];中國測(cè)試;2010年05期
6 馬志;甄彤;張秋聞;;多傳感器信息融合技術(shù)在糧情測(cè)控中的應(yīng)用[J];糧食加工;2008年06期
7 Niu Steve;;Research on numerical emulator of mine methane and coal dust explosion[J];Journal of Coal Science & Engineering(China);2008年03期
8 張志偉,張靈,王愛樂;I~2C總線原理及其通信的初步實(shí)現(xiàn)[J];機(jī)械管理開發(fā);2004年02期
9 付華 ,邵良杉;An optimized control of ventilation in coal mines based on artificial neural network[J];Journal of Coal Science & Engineering(China);2002年02期
,本文編號(hào):2365273
本文鏈接:http://sikaile.net/kejilunwen/huanjinggongchenglunwen/2365273.html