Smart noise level monitoring system with IoT cloud

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. Mot...

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Bibliographic Details
Main Author: Koh, Jovester Ming Jie
Other Authors: Chan Pak Kwong
Format: Final Year Project (FYP)
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/176614
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author Koh, Jovester Ming Jie
author2 Chan Pak Kwong
author_facet Chan Pak Kwong
Koh, Jovester Ming Jie
author_sort Koh, Jovester Ming Jie
collection NTU
description 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.
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spelling ntu-10356/1766142024-05-24T15:50:15Z Smart noise level monitoring system with IoT cloud Koh, Jovester Ming Jie Chan Pak Kwong School of Electrical and Electronic Engineering epkchan@ntu.edu.sg Engineering Internet of Things Noise Microcontroller unit Cloud 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. Bachelor's degree 2024-05-18T11:56:25Z 2024-05-18T11:56:25Z 2024 Final Year Project (FYP) Koh, J. M. J. (2024). Smart noise level monitoring system with IoT cloud. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/176614 https://hdl.handle.net/10356/176614 en A2037-231 application/pdf Nanyang Technological University
spellingShingle Engineering
Internet of Things
Noise
Microcontroller unit
Cloud
Koh, Jovester Ming Jie
Smart noise level monitoring system with IoT cloud
title Smart noise level monitoring system with IoT cloud
title_full Smart noise level monitoring system with IoT cloud
title_fullStr Smart noise level monitoring system with IoT cloud
title_full_unstemmed Smart noise level monitoring system with IoT cloud
title_short Smart noise level monitoring system with IoT cloud
title_sort smart noise level monitoring system with iot cloud
topic Engineering
Internet of Things
Noise
Microcontroller unit
Cloud
url https://hdl.handle.net/10356/176614
work_keys_str_mv AT kohjovestermingjie smartnoiselevelmonitoringsystemwithiotcloud