Contaminación acústica y construcción del Smart Sound para los vecinos de la Av. Participación del distrito de Belén y San Juan Bautista
No Thumbnail Available
Date
2023
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Universidad Nacional de Trujillo
Abstract
En la ciudad de Iquitos, el crecimiento poblacional y económico ha provocado un aumento significativo del ruido ambiental. Esta investigación se enfocó en determinar el nivel de ruido y evaluar la contaminación acústica en una importante vía, así como diseñar y construir un sistema de medición de ruido a bajo costo capaz de procesar señales sonoras. Se utilizaron procedimientos basados en la Regulación Técnica del Perú ISO 1996-2, 2021 y se realizaron mediciones con un sonómetro profesional en 45 cuadras y en tres horarios diferentes. Además, se aplicó una encuesta a 370 personas para evaluar la percepción del ruido. Por otra parte, se utilizó componentes como microcontrolador, sensor de sonido con sistema de amplificación, micro SD y pantalla LED, se creó un dispositivo que convierte el sonido captado en electricidad para su posterior procesamiento. Los resultados mostraron que los vehículos son las principales fuentes generadoras de ruido, con niveles promedio de sonido en torno a los 77,5 dB(A), y el prototipo construido comparado con un sonómetro profesional, se encontró una desviación estándar de ±3.145 decibeles. Se encontró una correlación del 43,2% entre las variables evaluadas, y el Smart Sound necesita ajustes en la configuración o la adición de un potenciómetro en el sistema de preamplificación para obtener mejores datos.
In the city of Iquitos, population growth and economic development have led to a significant increase in environmental noise. This research focused on determining the noise level and evaluating acoustic pollution on a major road, as well as designing and building a low-cost noise measurement system capable of processing sound signals. Procedures based on Peru's Technical Regulation ISO 1996-2, 2021 were employed, and measurements were conducted using a professional sound level meter along 45 blocks at three different times of the day. Additionally, a survey was administered to 370 individuals to assess their perception of the noise. On the other hand, the system utilized components such as a microcontroller, sound sensor with amplification system, micro-SD, and LED screen, to create a device that converts captured sound into electricity for subsequent processing. The results showed that vehicles are the main sources of noise, with average sound levels around 77.5 dB(A). When the built prototype was compared to a professional sound level meter, a standard deviation of ±3.145 decibels was found. A correlation of 43.2% was observed among the evaluated variables, and the Smart Sound system requires adjustments in its configuration or the addition of a potentiometer in the pre-amplification system to obtain more accurate data.
In the city of Iquitos, population growth and economic development have led to a significant increase in environmental noise. This research focused on determining the noise level and evaluating acoustic pollution on a major road, as well as designing and building a low-cost noise measurement system capable of processing sound signals. Procedures based on Peru's Technical Regulation ISO 1996-2, 2021 were employed, and measurements were conducted using a professional sound level meter along 45 blocks at three different times of the day. Additionally, a survey was administered to 370 individuals to assess their perception of the noise. On the other hand, the system utilized components such as a microcontroller, sound sensor with amplification system, micro-SD, and LED screen, to create a device that converts captured sound into electricity for subsequent processing. The results showed that vehicles are the main sources of noise, with average sound levels around 77.5 dB(A). When the built prototype was compared to a professional sound level meter, a standard deviation of ±3.145 decibels was found. A correlation of 43.2% was observed among the evaluated variables, and the Smart Sound system requires adjustments in its configuration or the addition of a potentiometer in the pre-amplification system to obtain more accurate data.
Description
Keywords
Contaminación acústica, Prototipo, Smart Sound