Estudio acústico del estadio "La Peineta" utilizando line arrays

El proyecto fin de carrera consiste en un estudio acústico del Estadio de la Peineta (estadio de fútbol perteneciente al club Atlético de Madrid el cual se encuentra en construcción). Se realizará el diseño por completo de una maqueta del estadio utilizando el programa EASE. Esta maqueta se hará a escala real, exactamente como se está construyendo el estadio. A dicha maqueta se le incorporarán los diferentes materiales absorbentes específicos a cada una de las superficies que compongan el estadio. Se crearán tantas zonas de audiencia como superficies se obtenga en cada grada sobre donde se realizarán dos estudios acústicos diferentes. El primer estudio se realizará con un total de 24 clústeres de altavoces los cuales están compuestos por 10 altavoces Aero 50. La colocación estratégica de cada uno de estos altavoces se estudiará con la herramienta EASE Focus 2. Una vez obtenidas las posiciones se importarán cada uno de estos clústeres de altavoces su respectiva configuración. El otro estudio se realizará con la mitad de arrays de altavoces con la intención de tener una comparativa de recubrimiento entre un estudio y otro. Las pruebas de simulación serán analizando el nivel de presión sonora que provoca cada uno de estos estudios cuando tienen sus altavoces en funcionamiento. Se utilizará el módulo de “Area mapping” para estudiar el mapeo en cada una de las zonas de audiencia definidas, así como cada una de las distribuciones por área que predominan. Se irán anotando cada uno de los problemas e ideas que van surgiendo a lo largo de dicho proyecto para proponer una continuación y mejora del mismo. Se planteará una serie de pasos e pruebas al final de la memoria ya que se trata de un proyecto sin cerrar y puede ser continuado por otra persona. ABSTRACT. The final project is an acoustic studio Peineta Stadium (soccer stadium belongs to the club Atletico Madrid which is under construction). The design is made entirely of a model of the stadium using the EASE program. This model will be full scale, exactly as is building the stadium. A model that should be incorporated into the various specific absorbent material to each of the surfaces that make up the stadium. Hearing so many areas as surfaces is obtained in each tier on which two different acoustic studies will be conducted will be created. The first study was conducted with a total of 24 speaker clusters which are composed of 10 speakers Aero 50. The strategic placement of each of these speakers will be studied with the EASE Focus 2. Once obtained tool positions are imported each these clusters of the respective speaker configuration. The other study was conducted with half speaker arrays with the intention of having a comparative study between a coating and another. Simulation tests will be analyzing the sound pressure level which causes each of these studies have their speakers when in operation. Module "mapping area" will be used to study the mapping in each of the areas defined audience, and each of the area distributions predominate. They will be written down each of the issues and ideas that arise throughout the project to propose a continuation and improvement. a series of steps and tests at the end of the memory will be raised because it is a project without closing and may be continued for another person.

Digital image processing techniques as a tool for evaluating and mapping patinas on granite monuments

Monument conservation is related to the interaction between the original petrological parameters of the rock and external factors in the area where the building is sited, such as weather conditions, pollution, and so on. Depending on the environmental conditions and the characteristics of the materials used, different types of weathering predominate. In all, the appearance of surface crusts constitutes a first stage, whose origin can often be traced to the properties of the material itself. In the present study, different colours of “patinas” were distinguished by defining the threshold levels of greys associated with “pathology” in the histogram. These data were compared to background information and other parameters, such as mineralogical composition, porosity, and so on, as well as other visual signs of deterioration. The result is a map of the pathologies associated with “cover films” on monuments, which generate images by relating colour characteristics to desired properties or zones of interest.

Mapping the visual landscape quality in Europe using physical attributes

he inclusion of environmental care data in the decision-making process should be based on the results obtained after scienti?cally evaluating different environmental variables. Herein, a European landscape geographic model is presented. This landscape map would allow the environmental care variable ?visual landscape?, along with other information related to vegetation, geology, soils, cultural variables, etc., to be integrated into the planning process. The methodology used is not new since it has already been tested in Spain by the authors. Nevertheless, the model was adapted to cope with the much more extensive territory of the European Union. This meant dealing with computational dif?culties, and a lack of information. The result of this work is a raster map (100 m cell size) that evaluates landscape quality in Europe by dividing the area into seven visual quality classes. This is a practical tool for territorial development that will facilitate the environmental assessment of plans, such as infrastructure plans, within a strategic pan-European framework.

Aerial Coverage Path Planning applied to Mapping

In the last decade we have seen how small and light weight aerial platforms - aka, Mini Unmanned Aerial Vehicles (MUAV) - shipped with heterogeneous sensors have become a 'most wanted' Remote Sensing (RS) tool. Most of the off-the-shelf aerial systems found in the market provide way-point navigation. However, they do not rely on a tool that compute the aerial trajectories considering all the aspects that allow optimizing the aerial missions. One of the most demanded RS applications of MUAV is image surveying. The images acquired are typically used to build a high-resolution image, i.e., a mosaic of the workspace surface. Although, it may be applied to any other application where a sensor-based map must be computed. This thesis provides a study of this application and a set of solutions and methods to address this kind of aerial mission by using a fleet of MUAVs. In particular, a set of algorithms are proposed for map-based sampling, and aerial coverage path planning (ACPP). Regarding to map-based sampling, the approaches proposed consider workspaces with different shapes and surface characteristics. The workspace is sampled considering the sensor characteristics and a set of mission requirements. The algorithm applies different computational geometry approaches, providing a unique way to deal with workspaces with different shape and surface characteristics in order to be surveyed by one or more MUAVs. This feature introduces a previous optimization step before path planning. After that, the ACPP problem is theorized and a set of ACPP algorithms to compute the MUAVs trajectories are proposed. The problem addressed herein is the problem to coverage a wide area by using MUAVs with limited autonomy. Therefore, the mission must be accomplished in the shortest amount of time. The aerial survey is usually subject to a set of workspace restrictions, such as the take-off and landing positions as well as a safety distance between elements of the fleet. Moreover, it has to avoid forbidden zones to y. Three different algorithms have been studied to address this problem. The approaches studied are based on graph searching, heuristic and meta-heuristic approaches, e.g., mimic, evolutionary. Finally, an extended survey of field experiments applying the previous methods, as well as the materials and methods adopted in outdoor missions is presented. The reported outcomes demonstrate that the findings attained from this thesis improve ACPP mission for mapping purpose in an efficient and safe manner.

Aerial Coverage Path Planning applied to Mapping

In the last decade we have seen how small and light weight aerial platforms - aka, Mini Unmanned Aerial Vehicles (MUAV) - shipped with heterogeneous sensors have become a 'most wanted' Remote Sensing (RS) tool. Most of the off-the-shelf aerial systems found in the market provide way-point navigation. However, they do not rely on a tool that compute the aerial trajectories considering all the aspects that allow optimizing the aerial missions. One of the most demanded RS applications of MUAV is image surveying. The images acquired are typically used to build a high-resolution image, i.e., a mosaic of the workspace surface. Although, it may be applied to any other application where a sensor-based map must be computed. This thesis provides a study of this application and a set of solutions and methods to address this kind of aerial mission by using a fleet of MUAVs. In particular, a set of algorithms are proposed for map-based sampling, and aerial coverage path planning (ACPP). Regarding to map-based sampling, the approaches proposed consider workspaces with different shapes and surface characteristics. The workspace is sampled considering the sensor characteristics and a set of mission requirements. The algorithm applies different computational geometry approaches, providing a unique way to deal with workspaces with different shape and surface characteristics in order to be surveyed by one or more MUAVs. This feature introduces a previous optimization step before path planning. After that, the ACPP problem is theorized and a set of ACPP algorithms to compute the MUAVs trajectories are proposed. The problem addressed herein is the problem to coverage a wide area by using MUAVs with limited autonomy. Therefore, the mission must be accomplished in the shortest amount of time. The aerial survey is usually subject to a set of workspace restrictions, such as the take-off and landing positions as well as a safety distance between elements of the fleet. Moreover, it has to avoid forbidden zones to y. Three different algorithms have been studied to address this problem. The approaches studied are based on graph searching, heuristic and meta-heuristic approaches, e.g., mimic, evolutionary. Finally, an extended survey of field experiments applying the previous methods, as well as the materials and methods adopted in outdoor missions is presented. The reported outcomes demonstrate that the findings attained from this thesis improve ACPP mission for mapping purpose in an efficient and safe manner.