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Vol.13, No.3, August 2024. ISSN: 2217-8309 eISSN: 2217-8333
TEM Journal
TECHNOLOGY, EDUCATION, MANAGEMENT, INFORMATICS Association for Information Communication Technology Education and Science |
CODS: Carbon Monoxide Pollution Detection and Monitoring System Based on The Internet of Things Towards Urban Health Enhancement
Muhammad Yusro, Aodah Diamah, Setia Budi, Ibnuh Sakti, Agung Pangestu, Rosyid Ridlo Al-Hakim, Ari Apriyansa
© 2024 Ari Apriyansa, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)
Citation Information: TEM Journal. Volume 13, Issue 3, Pages 2603-2614, ISSN 2217-8309, DOI: 10.18421/TEM133-85, August 2024.
Received: 06 March 2024. Revised: 18 June 2024.
Abstract:
The enhancement of urban air quality is a pressing global issue, crucial for safeguarding public health. Carbon monoxide (CO), a significant air pollutant, poses severe risks to human health. This study focuses on the development of a mobile-based Internet of Things (IoT) system for the detection and monitoring of carbon monoxide (CO) pollution, contributing to the advancement of healthy urban environments. Utilizing the MQ-7 sensor, the system accurately detects and quantifies CO levels, while the u-blox NEO-6M GPS receiver precisely locates measurement sites through satellite signal processing. Integration with the OV5647 camera enables the system to capture images at points of CO detection, enhancing data visualization. Processed data are relayed to a virtual private server (VPS) via a Raspberry Pi 3 Model B+, employing the Nginx web server for efficient data management. The MQ-7 sensor demonstrates a CO detection range of 20-100 ppm, with a minimal error rate of 4.87%. GPS accuracy tests reveal an average discrepancy of only 0.89 meters when compared to the Garmin eTrex 10, indicating high reliability. Field tests conducted across three Indonesian locales (Jakarta, Bekasi, and Depok) involved data collection via a quadcopter, culminating in the successful dissemination of CO concentration data on a publicly accessible web page, presented as an interactive map correlating to measurement locations.
Keywords – Carbon monoxide, air monitoring, internet of things, smart city, unmanned aerial vehicle. |
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