A low cost, fully integrated, event-driven, real-time control and data acquisition system for fusion experiments

Abstract

A new, real-time, distributed, control and data acquisition system architecture for long duration fusion experiments was developed based on the new optical communications technologies and the “System on a Chip” methodology. The architecture integrates data routing, data storage, real-time data processing and control and data acquisition nodes, interconnected by a switched-packed, gigabit, point-to-point, communications network. The routing nodes provide connections to the autonomous storage and processing nodes through standard network links. The control and data acquisition nodes are connected to the routing nodes by specifically designed optical links which provide both data transport and timing/synchronism support. The acquired data are time stamped and can be dynamically processed for local control or sent to the external storage, the real-time processing or the control nodes. The standard processor and the reconfigurable field programmable gate array included in each node allow the programming of the data reduction, adaptive signal processing, and control algorithms from a high level system description language. All nodes will be controlled through an instrumentation-specific implementation of the Extensible Markup Language. A control and data acquisition node with 32 independent and galvanically isolated analog channels of 16 bits resolution is under development. All input signals are continuously and simultaneously sampled at a rate of 2 MSPS, time stamped, optionally digitally filtered, and stored in a large circular memory buffer. Three other node configuration sets will also be implemented: 16 channels, 20 MSPS, 16 bit; 8 channels, 100 MSPS, 12 bit; 2 channels, 1 GSPS, 8 bit.

PXI-based architecture for real time data acquisition and distributed dynamical data processing

“…It is possible to reach real time data processing results using a fourth generation language such as LabVIEW. This model is hardware and software scalable and it is easier to implement data acquisition in parallel with data processing applications in fusion experiments in comparison with other efficient solutions [5] [6]. The dynamical data processing system enhances the remote participation in fusion environments.…”