The Development of an IoT-Based Air Quality Monitoring System Using the Blynk Application

The Development of an IoT-Based Air Quality Monitoring System Using the Blynk Application

Authors

  • Nurzaid Muhd Zain College of Computing, Informatics and Mathematics, Universiti Teknologi MARA Perlis Branch, Arau Campus, Perlis, Malaysia
  • Mahfudzah Othman College of Computing, Informatics and Mathematics, Universiti Teknologi MARA Perlis Branch, Arau Campus, Perlis, Malaysia
  • Muhammad Amir Rusyaidi Mohd Rozi College of Computing, Informatics and Mathematics, Universiti Teknologi MARA Perlis Branch, Arau Campus, Perlis, Malaysia
  • Zulfikri Paidi College of Computing, Informatics and Mathematics, Universiti Teknologi MARA Perlis Branch, Arau Campus, Perlis, Malaysia

Keywords:

Air Quality, Air Quality Index, IoT, Monitoring System, Blynk Application

Abstract

This paper discusses designing and developing an Arduino-based air quality monitoring system utilizing the Blynk application. The aim is to design an IoT-based air quality monitoring system that allows users to check current air quality precisely and promptly via their mobile phones in real-time. The construction of the application involves three phases: design, prototype development, and system testing. The design and development phases involved various setups and configurations of MQ135 gas sensor and microcontroller NodeMCU to assess air quality in parts per million (ppm) and allow data transmission via Wi-Fi to users’ mobile phones with the Blynk application. System testing has shown accurate results in the MQ135 gas sensor among five different gases, which led to the efficiency of the prototype system in detecting air quality based on air quality level (ppm). As a result, the Red LED illuminates, and the Buzzer emits a warning sound when the air pollution level exceeds 150ppm.

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References

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Published

2024-03-01

How to Cite

Muhd Zain, N., Othman, M., Mohd Rozi, M. A. R., & Paidi, Z. (2024). The Development of an IoT-Based Air Quality Monitoring System Using the Blynk Application. Journal of Computing Research and Innovation, 9(1), 157–166. Retrieved from https://jcrinn.com/index.php/jcrinn/article/view/426

Issue

Section

General Computing

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