Prototype of particulate matter detection and monitoring system in air pollution by using Arduino

Abdul Muhaimin, Arif Hakimi (2023) Prototype of particulate matter detection and monitoring system in air pollution by using Arduino. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Air pollution poses a significant threat to both human health and the environment. Among its various pollutants, particulate matter (PM) stands out as a major concern. Monitoring and detecting the concentration of PM in the air are crucial for assessing air quality and implementing effective pollution control measures. This abstract introduces a prototype of a PM detection and monitoring system developed using Arduino, an open-source programmable board. The system leverages a dust sensor such as the Sharp GP2Y1010AU0F to detect and measure the concentration of PM 2.5 (particles with a diameter of 2.5 micrometers or less) in the surrounding air. The dust sensor employs an infrared LED and a photodetector to analyze the scattering of light caused by the particles. Additionally, a gas sensor, the MQ-2 is incorporated to provide support in areas where pollutants like Carbon Monoxide and Liquefied Petroleum Gas (LPG) are present. At the heart of the system, the Arduino board acts as the main controller, gathering data from the dust and gas sensors and processing it for display and analysis. The collected data is then presented in real-time on a liquid crystal display (LCD) screen. This user-friendly interface allows individuals even those with minimal technical expertise to easily assess air quality and monitor any changes over time. The prototype serves as an affordable solution, offering an accessible means for individuals, communities and organizations to monitor air quality and raise awareness about the potential health risks associated with high PM concentrations. Moreover, the feasibility of using Arduino for particulate matter detection and monitoring in air pollution is demonstrated. While the prototype shows promise, there is room for improvement and refinement to enhance accuracy and functionality. These advancements could pave the way for the potential implementation of the system in real-world air quality monitoring networks. Overall, this prototype contributes to the ongoing efforts to combat air pollution, promoting a healthier environment for all

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