基于微控制器和应用程序的PM2.5和PM1空气质量监测系统

Glenn O. Avendaño, Jennifer C. Dela Cruz, A. Ballado, L. G. R. Ulyzes, Audimar C. Paras Atienza, Brian Jose G. Regala, Ricardo C. Uy
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引用次数: 9

摘要

颗粒物,也被称为颗粒污染或PM,是极小颗粒和液滴的复杂混合物。颗粒污染由许多成分组成,包括酸(如硝酸盐和硫酸盐)、有机化学品、金属、土壤或灰尘颗粒。颗粒的大小与它们造成健康问题的可能性直接相关。一旦吸入,这些颗粒会影响心脏和肺部,造成严重的健康影响。研究人员的目的是提供一个可以监测颗粒物(PM)水平的独立设备,并为最终用户提供一个移动应用程序来检查特定位置的PM水平。本课题的系统是一个基于单片机的系统,它具有可以检测PM2.5和PM1浓度的传感器。出于监控目的,将提供一个移动应用程序,显示传感器收集的实时数据。该设备有一个GSM模块,可以将数据发送到树莓派(服务器),然后连接到互联网。移动应用程序从传感器接收实时数据,如果PM浓度水平仍然安全,就会通知用户。研究人员在DENR提供的地点进行了三次测试。这三种测试可以确定颗粒物浓度高、中、低的位置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Microcontroller and app-based air quality monitoring system for particulate matter 2.5 (PM2.5) and particulate matter 1 (PM1)
Particulate matter," also known as particle pollution or PM, is a complex mixture of extremely small particles and liquid droplets. Particle pollution is made up of a number of components, including acids (such as nitrates and sulfates), organic chemicals, metals, and soil or dust particles. The size of particles is directly linked to their potential for causing health problems. Once inhaled, these particles can affect the heart and lungs and cause serious health effects. The purpose of the researchers is to provide a standalone device that can monitor Particulate Matter (PM) levels and provide a mobile application for end user to check the PM level of a specific location. The system of this project is a microcontroller based, and it has sensor that can detect concentrations of PM2.5 and PM1. For monitoring purposes, there will be a mobile application provided that shows real-time data gathered by the sensor. The device has a GSM MODULE that sends data to the Raspberry Pi(server) that is then connected to the internet. The mobile application receives real-time data from the sensor and gives notifications to the user if the concentration level of PM is still safe. The researchers conduct three tests in locations given by DENR. The three tests determine which location has high, medium and low concentration of Particulate Matter.
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