Abstract
Framework and Method for Measurement of Particulate Matter Concentration using Low Cost Sensors
Highlights
Particulate matter is a major source of air pollution across the world
SDS011 is a dust sensor developed by Nova fitness, which uses laser diffraction principle to measure the concentration of particulate matter in the air sample. 1a shows a schematic diagram of the internal components of the SDS011 sensor
Low cost sensors and their efficacy in measuring pollutant concentrations is the subject of multiple studies, this study does not go into the details of these factors
Summary
Particulate matter is a major source of air pollution across the world. Exposure to particulate matter can cause a multitude of problems to individuals including higher risk of hypertension Prabhakaran et al [1], lung cancer Ciabattini et al [2], cardio-vascular disease Jaafari et al [3]. There have been numerous studies exploring the use of low cost and mobile sensors to measure individual exposure in an efficient manner. Low cost sensors are an efficient way for measuring individual exposure to pollutants. Motlagh et al [13] provide a vision for the use of low cost sensors for dense air quality monitoring and the study documents an example implementation in the city of Helsinki, Finland. The study used Nova SDS011, SDS021, and SHINYEI PPD42 sensors connected to an Arduino Mega, with an ESP8266 wifi module and a LoRaWAN module in the absence of a wifi network Most of these studies concentrate on the efficacy of the sensors, but there are not many studies which propose a comprehensive framework for acquisition and management of pollution data effectively.
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