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Implementation of Intelligent Data Acquisition Systems for Fusion Experiments Using EPICS and FlexRIO Technology

机译:使用EPICS和FlexRIO技术实现融合实验的智能数据采集系统

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摘要

Currently, the hardware devices and software tools used in data acquisition (DAQ) systems for diagnostics in fusion experiments are not standardized. Consequently, the development of new hardware and software needed by scientists and diagnostic experts to implement new solutions, requires a substantial amount of time delaying the execution of new experiments. The solution presented in this paper consists of a design model that provides the potential for developing intelligent and reconfigurable data acquisition systems for easy integration in fusion diagnostics. The main hardware components used for this design model are the flexible reconfigurable input/output (FlexRIO) devices from National Instruments, which are embedded systems based on field-programmable gate array (FPGA), and PXI/PXIe technology. The main software element is an EPICS device support, based on asynDriver software technology, that provides easy integration in the EPICS environment. Integrating these two elements enables the development of complex DAQ systems using reconfigurable hardware to implement any type of customized data acquisition with preprocessing. The methodology proposed here was evaluated by obtaining results and performance figures for three different applications integrated in an ITER fast controller.
机译:当前,数据采集(DAQ)系统中用于融合实验诊断的硬件设备和软件工具尚未标准化。因此,科学家和诊断专家实施新解决方案所需的新硬件和软件的开发需要大量时间来延迟新实验的执行。本文介绍的解决方案由一个设计模型组成,该模型提供了开发智能且可重新配置的数据采集系统的潜力,从而可以轻松集成到融合诊断中。用于此设计模型的主要硬件组件是National Instruments的灵活可重配置输入/输出(FlexRIO)设备,它们是基于现场可编程门阵列(FPGA)和PXI / PXIe技术的嵌入式系统。主要软件元素是基于asynDriver软件技术的EPICS设备支持,可轻松集成到EPICS环境中。集成这两个元素,可以使用可重新配置的硬件开发复杂的DAQ系统,从而通过预处理实现任何类型的定制数据采集。通过获得集成在ITER快速控制器中的三种不同应用的结果和性能指标,对此处提出的方法进行了评估。

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