基于ARM的空气质量监测系统的研究

发布时间：2018-02-04 14:20

本文关键词： ARM 嵌入式空气质量监测 Linux　出处：《安徽理工大学》2017年硕士论文　论文类型：学位论文

【摘要】：人类社会目前正处在飞速发展时期,因此所造成的环境问题尤其是空气污染问题广受人们的关注。各种空气污染物对于人们的身体健康和日常生活都有着极坏的影响,尤其是空气中的PM2.5、PM10、CO和N02等污染物。目前,人们的生活水平已大大提高,因而对于空气质量的状况提出了更高的要求。为了方便人们对空气质量进行监测,对空气污染治理工作进行数据支持,需要对空气中各种污染物进行实时而有效的监测。然而,目前能在市场上购买到的或者正在使用的空气质量监测装置有着成本过高、灵活移动性差、维护运行难度大和运行条件要求高等不足之处。本次设计使用ARM嵌入式技术,设计了一种空气质量监测系统。本次设计选择Raspberry Pi作为开发平台,选用ARM Cortex-A53系列的BCM2837作为微控制器。使用基于Linux的Raspbian操作系统作为嵌入式操作系统,基于Raspbian开发了的各个数据采集器的程序,从而实现了对PM2.5、PM10、CO、N02、温度和气压等参数的实时监测。监测系统分为三个部分,分别为数据采集模块,数据处理模块和数据展示模块。三个部分既可以分别完成系统所需的各种功能,形成一个完整的系统。本系统选用三种传感器构成了数据采集模块,并使用Raspberry Pi作为数据的处理模块,还通过Yeelink平台实现了远程监测的功能。在对整个装置测试后,结果表明,各项参数结果都显示正常,系统较为稳定。本次所设计的基于ARM的空气质量监测系统可以进行更广泛的推广和应用。
[Abstract]:Human society is in a period of rapid development. As a result, environmental problems, especially air pollution, have attracted much attention. All kinds of air pollutants have a very bad effect on people's health and daily life, especially PM2.5 in the air. At present, the living standard of people has been greatly improved, so higher requirements for air quality have been put forward. In order to facilitate people to monitor air quality. Data support for air pollution control requires real-time and effective monitoring of pollutants in the air. Air quality monitoring devices that are currently available or in use on the market have high costs and poor mobility. The maintenance operation is difficult and the operating conditions are high. This design uses ARM embedded technology. An air quality monitoring system is designed, and Raspberry Pi is chosen as the development platform. BCM2837 of ARM Cortex-A53 series is chosen as microcontroller, and Raspbian operating system based on Linux is used as embedded operating system. The program of each data collector based on Raspbian has been developed, thus realizing the realization of PM2.5 / PM10CON02. The monitoring system is divided into three parts: data acquisition module, data processing module and data display module. The data acquisition module is composed of three kinds of sensors, and Raspberry Pi is used as the data processing module. The function of remote monitoring is also realized through Yeelink platform. After testing the whole device, the results show that the results of each parameter are normal. The air quality monitoring system based on ARM can be popularized and applied more widely.
【学位授予单位】：安徽理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP274

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