IoT-Based System for Monitoring Air and Sound Pollution

Authors

  • Gaikwad Prajakta Pradip
  • Kale Sonali Arun

Keywords:

Arduino-Uno, Cloud, LM393 sound sensor, MQ135 gas sensor, Wi-Fi

Abstract

Air and sound pollution are two of the significant problems of today. With the number of diseases rising due to pollution, it is now more important than ever to regulate pollution for a healthier and better future. Here, we present an IOT-based air quality and sound pollution monitoring system that enables real-time monitoring and assessment of both variables in specific regions. The system uses an air sensor to sense the presence of dangerous gases or compounds in the air and continuously sends data to the microcontroller. Additionally, the system uses the Internet of Things to report and measure sound levels. The system technology is so straightforward to use and manage that it can be implemented in homes, offices, and small spaces. The system continuously sends data to the microcontroller by using air sensors to detect the presence of dangerous gases or compounds in the air. Additionally, the device constantly measures sound pressure and transmits the data via IOT to an online server. The microcontroller, which processes the data and sends it via the internet, communicates with the sensors.

Published

2024-07-31

How to Cite

Gaikwad Prajakta Pradip, & Kale Sonali Arun. (2024). IoT-Based System for Monitoring Air and Sound Pollution. Advance Research in Communication Engineering and Its Innovations, 33–39. Retrieved from https://matjournals.net/engineering/index.php/ARCEI/article/view/754