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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Format: | Final Year Project (FYP) |
Language: | English |
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Nanyang Technological University
2024
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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. |
first_indexed | 2024-10-01T02:58:53Z |
format | Final Year Project (FYP) |
id | ntu-10356/176614 |
institution | Nanyang Technological University |
language | English |
last_indexed | 2024-10-01T02:58:53Z |
publishDate | 2024 |
publisher | Nanyang Technological University |
record_format | dspace |
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 |