Plataforma para la medición y clasificación de series de tiempo de ruido geolocalizado.
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Date
2024
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Publisher
Universidad de Concepción
Abstract
Los efectos negativos que la exposición prolongada a altos niveles de ruido puede provocar sobre nuestra salud es actualmente un tema de estudio, siendo el ruido un problema frecuente en zonas cercanas a carreteras con altos niveles de tráfico o en zonas de producción industrial, entre otros. Las normativas establecen limites sobre el nivel de ruido, y metodologías para medirlo, pero el alto costo de dispositivos en este tipo de medición dificulta su acceso por parte de la comunidad, la cual normalmente es la principal afectada con esta problemática.
En el presente trabajo se describe el desarrollo de una herramienta con la cual es posible caracterizar el ruido ambiental haciendo uso de un teléfono móvil, esta caracterización se hace en base a la medición de la intensidad o el nivel de ruido, la clasificación del ruido, la cual se obtiene haciendo uso de un modelo de clasificación de audio, y la ubicación en la cual se mide el ruido.
Para lo cual primero se investiga material bibliográfico respecto a qué es el ruido y cómo medirlo, clasificarlo y geolocalizarlo. Luego, se explica la arquitectura de la herramienta y los principales factores involucrados en su desarrollo. Después se mostrarán distintas pruebas realizadas con el objetivo de validar los métodos usados con los distintos propósitos antes mencionados. Finalmente se discutirán los resultados obtenidos y se entregarán conclusiones
sobre el trabajo.
Como resultado de este trabajo se obtiene una herramienta de fácil acceso la cual permite medir el ruido con un alto nivel de precisión, con fines informativos, además de entregar una caracterización del ruido y la geolocalización de donde se hizo la medición para un posterior análisis de toda esta información.
The negative effects that prolonged exposure to high noise levels can have on our health are currently a topic of study, as noise is a common problem in areas near highways with heavy traffic or in industrial production zones, among others. Regulations establish limits on noise levels and methodologies for measuring it, but the high cost of devices for this type of measurement makes it difficult for the community, which is typically the primary affected party, to access them. In this work, we developed a tool that allows the characterization of environmental noise using a mobile phone. This characterization is based on the measurement of noise intensity or level, noise classification obtained through an audio classification model, and the location where the noise is measured. To achieve this, we first research relevant works on what noise is and how to measure, classify, and geolocate it. Next, we explain the architecture of the tool and the main factors involved in its development. Then, we present various tests conducted to validate the methods used for the aforementioned purposes. Finally, we present and discuss our results, and share our conclusions about this work. As a result of this work, an easily accessible tool is obtained that allows noise measurement with a high level of precision for informational purposes, in addition to providing a characterization of the noise and the geolocation of where the measurement was taken for subsequent analysis of all this information.
The negative effects that prolonged exposure to high noise levels can have on our health are currently a topic of study, as noise is a common problem in areas near highways with heavy traffic or in industrial production zones, among others. Regulations establish limits on noise levels and methodologies for measuring it, but the high cost of devices for this type of measurement makes it difficult for the community, which is typically the primary affected party, to access them. In this work, we developed a tool that allows the characterization of environmental noise using a mobile phone. This characterization is based on the measurement of noise intensity or level, noise classification obtained through an audio classification model, and the location where the noise is measured. To achieve this, we first research relevant works on what noise is and how to measure, classify, and geolocate it. Next, we explain the architecture of the tool and the main factors involved in its development. Then, we present various tests conducted to validate the methods used for the aforementioned purposes. Finally, we present and discuss our results, and share our conclusions about this work. As a result of this work, an easily accessible tool is obtained that allows noise measurement with a high level of precision for informational purposes, in addition to providing a characterization of the noise and the geolocation of where the measurement was taken for subsequent analysis of all this information.
Description
Tesis presentada para optar al título de Ingeniero/a Civil Electrónico/a.
Keywords
Aplicaciones móviles Diseño, Ruido, Medición del ruido