Breathe Safe: An IoT-Based Air, Quality Monitoring System

Authors

  • Maithili Pawar Undergraduate Student, Department of Computer Engineering, Sanjivani College of Engineering, Kopargaon Affiliated to- SPPU, Pune, Kopargaon, Maharashtra, India
  • Pranjali Patil Undergraduate Student, Department of Computer Engineering, Sanjivani College of Engineering, Kopargaon Affiliated to- SPPU, Pune, Kopargaon, Maharashtra, India
  • Pratap Sanap Undergraduate Student, Department of Computer Engineering, Sanjivani College of Engineering, Kopargaon Affiliated to- SPPU, Pune, Kopargaon, Maharashtra, India
  • Shruti Rohom Undergraduate Student, Department of Computer Engineering, Sanjivani College of Engineering, Kopargaon Affiliated to- SPPU, Pune, Kopargaon, Maharashtra, India
  • Saee Salunke Undergraduate Student, Department of Computer Engineering, Sanjivani College of Engineering, Kopargaon Affiliated to- SPPU, Pune, Kopargaon, Maharashtra, India
  • T. Bhaskar Assistant Professor, Department of Computer Engineering, Sanjivani College of Engineering, Kopargaon Affiliated to- SPPU, Pune, Kopargaon, Maharashtra, India

Keywords:

NodeMCU ESP8266 module, Pollution mitigation, Smart air quality monitoring, ThingSpeak cloud platform, Wireless Sensor Network (WSN)

Abstract

Paper presents an innovative IoT-Based air quality monitoring system that utilizes the IoT to provide real-time data on various pollutants, including CO2, CO, NH3, and airborne particles. By integrating low-cost MQ135 sensors with NodeMCU ESP8266 modules, the system offers an affordable and efficient solution for monitoring air quality in both urban and rural settings.

We’ve collected data by these sensors which is transmitted wirelessly to the ThingSpeak cloud platform, where it is analyzed and visualized for easy interpretation. This cloud- based approach not only allows for real-time monitoring but also enables users to access historical data, helping them understand trends in air quality over time. The system has been tested in a variety of environments, including industrial areas, Farm areas, and traffic zones, achieving an impressive accuracy rate of 93% in pollutant detection when compared to EPA standards.

To enhance public awareness and engagement, the system features an alert mechanism that sends notifications via Twitter whenever pollutant levels exceed safe limits. This functionality empowers communities to respond quickly to air quality issues, fostering a proactive approach to environmental health. Overall, this scalable and cost-effective solution addresses the limitations of old air quality monitoring methods, making it a practical choice for widespread implementation and contributing to healthier living conditions for all.

References

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Published

2025-05-28

Issue

Vol. 2 No. 2 (2025): May –August

Section

Articles