2 resultados para Santos, Juan Manuel

em Universidad Politécnica de Madrid


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El objetivo de este trabajo es conocer la arquitectura de Juan Manuel Ruiz de la Prada, un arquitecto cuya obra ha dejado una impronta en la ciudad de Madrid, pero sobre el que no hay apenas información objetiva que ponga en valor su trabajo. Lo más relevante dentro de su trayectoria como arquitecto, es una serie de edificios en los barrios de Salamanca y Chamberí, con un programa similar y ejecutados en un corto periodo de tiempo. Este trabajo analiza las circunstancias del Madrid de los 60 junto con la arquitectura de la vivienda plurifamiliar destinada a las clases acomodadas de la época. Se han estudiado con mayor profundidad, dos de los edificios de Juan Manuel Ruiz de la Prada, en los que tuvo un doble papel de promotor y de arquitecto. El primero situado en José Abascal nº50 con Zurbano nº73 y el segundo situado en Martínez Campos con Zurbano nº51 que, a su vez, es el primero de una serie de cuatro.

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EURATOM/CIEMAT and Technical University of Madrid (UPM) have been involved in the development of a FPSC [1] (Fast Plant System Control) prototype for ITER, based on PXIe (PCI eXtensions for Instrumentation). One of the main focuses of this project has been data acquisition and all the related issues, including scientific data archiving. Additionally, a new data archiving solution has been developed to demonstrate the obtainable performances and possible bottlenecks of scientific data archiving in Fast Plant System Control. The presented system implements a fault tolerant architecture over a GEthernet network where FPSC data are reliably archived on remote, while remaining accessible to be redistributed, within the duration of a pulse. The storing service is supported by a clustering solution to guaranty scalability, so that FPSC management and configuration may be simplified, and a unique view of all archived data provided. All the involved components have been integrated under EPICS [2] (Experimental Physics and Industrial Control System), implementing in each case the necessary extensions, state machines and configuration process variables. The prototyped solution is based on the NetCDF-4 [3] and [4] (Network Common Data Format) file format in order to incorporate important features, such as scientific data models support, huge size files management, platform independent codification, or single-writer/multiple-readers concurrency. In this contribution, a complete description of the above mentioned solution is presented, together with the most relevant results of the tests performed, while focusing in the benefits and limitations of the applied technologies.