Sistema de monitoreo de la contaminación acústica para un entorno industrial mediante una red de sensores basado en internet de las cosas.
This project presents the development and validation of a low-cost noise pollution monitoring system for industrial environments, based on the Internet of Things (IoT). Using a network of wireless sensors equipped with ESP32 microcontrollers, INMP441 sound sensors, and MPU6050 vibration sensors, the...
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| Format: | bachelorThesis |
| Language: | spa |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://repositorio.uteq.edu.ec/handle/43000/9157 |
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Add Tag | Summary: | This project presents the development and validation of a low-cost noise pollution monitoring system for industrial environments, based on the Internet of Things (IoT). Using a network of wireless sensors equipped with ESP32 microcontrollers, INMP441 sound sensors, and MPU6050 vibration sensors, the system captures real-time data from the operational areas of a timber company. The information is transmitted to a cloud database (Firebase) and displayed on a web dashboard that shows noise and vibration levels, as well as a history of measurements. The system was validated by comparing its measurements with a professional sound level meter, demonstrating high accuracy. Its key functionality is the generation of automatic early warnings; when noise levels exceed the threshold of 85 dB(A), a Cloud Function sends an instant notification to a Telegram group. This economically viable technological solution is presented as a proactive and effective tool for occupational safety management, enabling informed decision-making to mitigate hearing risks and comply with current regulations. |
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