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Progress in control and data acquisition for the ITER neutral beam test facility

Fusion Engineering and Design(2013)

Consorzio RFX

Cited 2|Views31
Abstract
SPIDER, the ion source test bed in the ITER neutral beam test facility, is under construction and its operation is expected to start in 2014. Control and data acquisition for SPIDER are undergoing final design. SPIDER CODAS, as the control and data acquisition system is referred to, is requested to manage 25 plant units, to acquire 1000 analogue signals with sampling rates ranging from a few S/s to 10 MS/s, to acquire images with up to 100 frames per second, to operate with long pulses lasting up to 1 h, and to sustain 200 MB/s data throughput into the data archive with an annual data storage amount of up to 50TB. SPIDER CODAS software architecture integrates three open-source software frameworks each addressing specific system requirements. Slow control exploits the synergy among EPICS and Siemens S7 programmable controllers. Data handling is by MDSplus a data-centric framework that is geared towards the collection and organization of scientific data. Diagnostics based on imaging drive the design of data throughput and archive size. Fast control is implemented by using MARTe, a data-driven, object-oriented, real-time environment. The paper will describe in detail the progress of the system hardware and software architecture and will show how the software frameworks interact to provide the functions requested by SPIDER CODAS. The paper will focus on how the performance requirements can be met with the described SPIDER CODAS architecture, describing the progress achieved by carrying out prototyping activities. (C) 2013 Published by Elsevier B.V.
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Key words
Negative ion source,Neutral beam injector,Control,Data acquisition
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要点】:本文介绍了国际热核聚变实验反应堆(ITER)中性束测试设施中SPIDER离子源测试床的控制与数据采集系统(SPIDER CODAS)的设计进展和创新架构,以满足其高性能要求。

方法】:SPIDER CODAS采用三种开源软件框架,分别针对特定的系统要求,整合了EPICS和Siemens S7可编程控制器进行慢速控制,使用MDSplus处理数据,以及MARTe实现快速控制。

实验】:文中详细描述了系统硬件和软件架构的进展,并通过原型活动展示了如何满足性能要求。实验使用的数据集未在文本中明确提及。