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Recolector de Ciencia Abierta, RECOLECTA
Bachelor thesis . 2018
License: CC BY NC ND
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Recolector de Ciencia Abierta, RECOLECTA
Bachelor thesis . 2017
License: CC BY NC ND
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Modelización de un incendio forestal con Fast Marching

Authors: Nicolás Martín, Carolina;

Modelización de un incendio forestal con Fast Marching

Abstract

Los incendios forestales causan cada año importantes pérdidas de carácter medioambiental, económico e incluso cobran pérdidas humanas. Un modelo de predicción de incendios eficiente supone una mejora significativa en eficacia y rapidez con la que se apagarían los incendios. En este Trabajo de Fin de Grado se pretende probar la viabilidad del algoritmo Fast Marching (FM), históricamente utilizado en aplicaciones de cálculo de trayectorias en robótica, para iniciar un proyecto de investigación de elaboración de un programa completo y relevante de predicción de incendios. Esta viabilidad se pretende demostrar a partir de la elaboración de una aplicación de usuario en el programa Matlab que sea competitiva con otros simuladores de incendios en la actualidad. Dicha aplicación permitirá: Visualización del frente de propagación del fuego sobre un mapa 3D. Uso de mapas de terreno reales. Selección de puntos de inicio y fin del incendio. Selección de valores para el viento sobre el mapa, incluyendo magnitud y dirección. Visualización del frente de propagación en diferentes instantes del tiempo. El éxito en el desarrollo de esta aplicación en Matlab supondrá la confirmación de viabilidad del algoritmo para el desarrollo de un programa de simulación de incendios forestales.

Country
Spain
Related Organizations
Keywords

Algoritmos, Robótica e Informática Industrial, Predicción de incendios, Simulación, Fast Marching (FM), Ingeniería Industrial, Matlab

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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