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Descripción
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| The development of tools for managing the resources and functionalities of distributed data acquisition systems is e ssential in long pulse fusion experiments. Data acquisition systems for long-pulse fu sion devices should include processing capabilities in order to run data reduction and/or pattern recognition algorithms. This processing must be executed to meet with real-time requirements. The intelligent test and measurement system (ITMS) platform [Ruiz04a][Ruiz04b] [Barrera06] [Barrera08] offers a technology based on a set of hardware devices and soft ware components that allo ws the development of advanced intelligent instruments with data acquisition and fast data processing capabilities. The main goal of this thesis is to propose an architecture -service-oriented architecture (SOA)- for the development of adaptive and intelligent data acquisition and processing syst ems. Accordingly, we have developed a software package to deploy ITMS functionality as services. Moreover, each ITMS node may be governed by a state machine whose behavior is defined by a state chart expressed in State Chart eX tensible Markup Language (S CXML). As a result, the user can focus on developing the processing algorithms in a high level programming language and on the definiti on of the system behavior using easy- to-use standard state machines. This requi res determining the experiment?s states, or phases, and the events and transitions between them, and expressing them in SCXML format. These features define the ad aptive and intelligent functionality of the ITMS platform. As a result, we propose a distributed architecture, and a hardware-software platform that implements the aforementioned features with services. One of the main goals of the ITMS platform is to reduce the effort and complexity required to define complex acquisition and processing tasks for long-pulse experiments. | |
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Internacional
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No |
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ISBN
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Tipo de Tesis
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Doctoral |
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Calificación
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Sobresaliente cum laude |
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Fecha
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20/01/2012 |