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Elevate: Autonomous Pollution Surveillance System

Aanand Vardhan, Aashish Sharma, Anuradha Anuradha, Kavita Khanna

Abstract


Epidemiological studies have shown that a close association is found between elevated air pollution levels and exacerbating cases of cardiovascular and respiratory diseases among older people and kids. Moreover, the presence of fine particulate in air makes it un-healthy to breathe which leads to lung cancer and cardiopulmonary mortality. Thus, in order to deploy effective air pollution control strategies, it is necessary to keep track of air quality levels throughout the day. The technology enabled solutions are required to collect and analyze air quality.

In this research article, a novel hardware named “Elevate” has been proposed with aim to monitor air quality over a period of time. Basically, it is a drone model capable of capturing and analyzing air quality data.  It calculates the air quality index with precision and clarity over real air data. From our study, it has been found that the proposed hardware model is able to deal with volumetric air data and it shows changing patterns of air quality throughout the day.


Keywords


Drone Surveillance, Air Quality Monitoring, PM2.5, CO2 PPM Level, MQ135 Gas Sensor, GP2Y1010AU0F Compact Optical Dust Sensor and ADS1115 Analog to Digital Converter.

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DOI: http://dx.doi.org/10.36039/AA052018001.

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