GEODAS:数据采集和分析系统组件框架的工业经验

J. Serrano, D. Ravier, J. Fraga, Vicente Orjales, A. Molano
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引用次数: 2

摘要

数据采集和分析系统(DAAS)是一种硬件/软件系统,它强烈依赖于被控制过程的特征,其中要处理的数据量和信号的采样频率是系统的主要关键方面。如今,DAAS应用程序是根据每个特定领域的特定需求设计的。这些解决方案产生了特别的软件开发,很难重用。然而,DAAS的基本结构在所有不同的应用领域是相同的。GEODAS是一个欧盟资助的项目,其目标是开发一个可重用的框架,专注于高性能DAAS领域的通用组件。这些组件捕获了数据采集系统的一般行为,并为创建这些系统提供了一种新的方法,这种方法更加模块化、可重用、独立于电子接口和平台。本文描述了基于组件的软件工程概念在工业、高性能、实时应用领域中的应用。
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GEODAS: an industrial experience with component frameworks for data acquisition and analysis systems
Data acquisition and analysis systems (DAAS) are hardware/software systems with a strong dependence on the features of the process under control, where the amount of data and the sampling frequency of signals to be processed are the main critical aspects of the system. Nowadays DAAS applications are designed according to the specific needs of each particular field. These solutions produce ad hoc software developments, very difficult to reuse. Nevertheless, the basic structure of DAAS is the same across all the different application fields. GEODAS is an EU-funded project whose goal is to develop a framework of reusable, generic components focused on the high-performance DAAS domain. These components capture the generic behaviour of data acquisition systems and offer a new approach for the creation of these systems, which is more modular, reusable, independent from the electronics interface and more platform independent. This paper describes the application of component-based software engineering concepts in an industrial, high-performance, real-time application domain.
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