Smart noise level monitoring system with IoT cloud

• Main Author: Koh, Jovester Ming Jie
• Other Authors: Chan Pak Kwong
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2024
• Subjects: Engineering; Internet of Things; Noise; Microcontroller unit; Cloud
• Online Access: https://hdl.handle.net/10356/176614
• Institution: Nanyang Technological University

This report presents the development of a "Smart Noise Monitoring System using IoT Cloud" specifically tailored for monitoring noise levels within school campuses. The system integrates ESP8266, Blynk dashboard, and SEN0232 sound sensor to provide real-time monitoring capabilities. Motivated by the adverse effects of noise pollution on student and faculty well-being, the project aims to enhance awareness and enable informed noise management strategies. The ESP8266 microcontroller collects data from the SEN0232 sound sensor, which is then transmitted to the Blynk dashboard for visualization and analysis. The report discusses the system's architecture, hardware setup, and software implementation. By leveraging the Internet of Things technology and its potential, this project looks to foster a conducive learning and working environment by proactively addressing noise pollution concerns.