International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 12 Issue: 06 | Jun 2025
p-ISSN: 2395-0072
www.irjet.net
Noise Level Monitor and Controlling System Pradeep Kumar Y1, Sakshi K N2, Meghana H N3, Rakshitha K S4, Chandrashekar B J5 1Assistant Professor, Department of ECE, ATME College of Engineering, Mysuru 2,3,4,5 Department of ECE, ATME College of Engineering, Mysuru
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Abstract - In recent years Noise level monitor and
Excessive noise levels can be detrimental to human health, causing stress, sleep disturbance, and even long-term hearing damage. Monitoring noise levels in sensitive areas like offices, factories, schools, or even residential areas is crucial for maintaining a comfortable and safe environment.[1]
controlling systems can help to detect and warn of noise levels that exceed a certain threshold value. This system uses the Internet of Things (IoT) to detect sound levels and control sound pollution. This system can automatically detect and warn of noise levels that exceed a certain threshold. It can display the current noise level and alert the surrounding area to be silenced. This work proposes the development of an intelligent noise level control and monitoring system designed to detect, analyse, and mitigate excessive noise levels in various environments. The system integrates noise sensors, microcontrollers, and machine learning algorithms to provide real-time noise monitoring, alerts, and automated control measures. With its user-friendly interface, remote monitoring capabilities, and adaptive noise reduction strategies, this system offers an innovative solution for effective noise management. This system continuously monitors ambient sound levels using sound sensors (e.g., microphones integrated with microcontrollers such as Arduino or Raspberry Pi) and compares them against predefined threshold values set according to regulatory standards. When the noise exceeds the permissible limit, the system triggers visual or audible alerts and can automatically initiate control actions, such as reducing speaker volume or sending alerts to authorities. The system can also log data for analysis and display real-time noise levels on an LCD or web interface. This solution is scalable, cost-effective, and useful in environments such as schools, hospitals, residential areas, and industrial zones. It promotes awareness and helps enforce noise regulations for a healthier and more peaceful environment.
This work aims to develop a Noise Monitoring System using a combination of sound sensors, a WiFi-enabled microcontroller (ESP32), a Telegram bot, and a DFPlayer Mini module. The system is designed to detect high levels of noise in two distinct rooms, and when noise exceeds a preconfigured threshold, it will perform a series of actions: 1.Sound Level Measurement: It continuously measures the sound levels in two rooms via analog microphones (sound sensors). 2. Remote Communication and Control: Through the Telegram bot, users can remotely monitor the noise levels. The Noise Monitoring System with Telegram Bot Integration is a comprehensive solution designed to monitor and manage noise levels in real-time, using a combination of sound sensors, a WiFi-enabled microcontroller, and a Telegram bot. The system continuously measures the noise levels in two separate rooms, and when the noise surpasses a preset threshold, it triggers alerts both locally (through an audio message) and remotely (via a Telegram bot). Noise is an unwanted disturbance that affects the performance and stability of control systems. Control systems are designed to regulate the behavior of a system or process by using feedback loops and sensors.
Key Words: Noise Pollution, IoT (Internet of Things), Sound Sensors, Real-Time Monitoring, Smart City
The core components of this system include:
1.INTRODUCTION
Sound Sensors: These are analog microphones that measure the sound intensity in two rooms. The sensors send analog signals to the ADS1115 Analog-to-Digital Converter (ADC), which converts the signals into digital data for processing by the microcontroller.
Noise in libraries can disrupt the serene environment meant for reading, studying, and concentration. Common sources of noise include conversations, movement of chairs, footsteps, and the use of electronic devices. Even low-level noise can accumulate, creating a distraction for users who require a quiet atmosphere. Monitoring noise levels is essential to maintaining the library's purpose as a peaceful and productive space. Implementing a noise level monitoring system helps identify and address disturbances, ensuring a calm and focused environment for all users.
ESP32 Microcontroller: The ESP32 is the brain of the system. It handles reading the data from the sound sensors, processing the information, and performing actions such as sending messages to the Telegram bot and triggering audio warnings. It also connects to WiFi, enabling remote communication.
In today’s fast-paced world, noise pollution has become a growing concern in both urban and rural environments.
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Telegram Bot Integration: The system features a Telegram bot that allows remote interaction. The user can check the
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