Paper Title
Urban Air Quality Monitoring Using Non Flying Drone
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Registration ID: IJNRD_305307
Published ID: IJNRD2504392
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Keywords
Urban air quality monitoring, non-flying drone, real-time data logging, particulate matter analysis, environmental sensors, ThingSpeak integration.
Abstract
Urban air pollution is a pressing challenge, requiring innovative solutions for precise and dynamic monitoring. This project presents a proof-of-concept urban air quality monitoring system using a non-flying drone model to address the limitations of stationary monitoring stations. The system employs a mobile platform capable of collecting real-time environmental data, including particulate matter concentration, temperature, humidity, atmospheric pressure, and air quality. The proposed system integrates advanced microcontroller-based architecture for data acquisition and wireless transmission. Using Arduino Mega as the primary controller and ESP32 for wireless data logging on IoT - ThingSpeak, the system ensures efficient processing and storage of environmental data. A suite of sensors—particulate matter sensors, BMP280 for pressure and altitude measurement, DHT22 for temperature and humidity, and MQ135 for air quality detection—enables comprehensive monitoring. The non-flying drone model, powered by DC motors with propellers and controlled via an L298 motor driver for speed modulation, simulates mobility in urban areas to enhance spatial coverage. This approach bridges the gap between static monitoring systems and the need for localized data collection at street levels. The collected data is visualized on ThingSpeak for analysis, enabling actionable insights into urban air quality management. This proof-of-concept demonstrates the potential of mobile ground-based systems to provide cost-effective, scalable solutions for urban air pollution monitoring.
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How To Cite (APA)
SREEVATSAN TV, SARAVANAN R, SINGTHOY MAIBAM, & Mr. M K Saravanan (April-2025). Urban Air Quality Monitoring Using Non Flying Drone. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 10(4), d595-d604. https://ijnrd.org/papers/IJNRD2504392.pdf
Issue
Volume 10 Issue 4, April-2025
Pages : d595-d604
Other Publication Details
Paper Reg. ID: IJNRD_305307
Published Paper Id: IJNRD2504392
Research Area: Science All
Author Type: Indian Author
Country: Chennai, Tamilnadu , India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2504392.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2504392
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