Image data acquisition in the scope of long duration discharges
Autor: | Georg Kühner, J Reetz, H. Kühntopf, Ch. Hennig, H. Kroiss, P. Heimann, J. Maier, Manfred Zilker, S Heinzel |
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Rok vydání: | 2004 |
Předmět: |
Data processing
Scope (project management) Computer science Mechanical Engineering Real-time computing Image processing Data acquisition Nuclear Energy and Engineering Transmission (telecommunications) Pattern recognition (psychology) General Materials Science Wendelstein 7-X Civil and Structural Engineering Data transmission |
Zdroj: | Fusion Engineering and Design. 71:231-237 |
ISSN: | 0920-3796 |
DOI: | 10.1016/j.fusengdes.2004.04.039 |
Popis: | Surveillance cameras and imaging diagnostics gain significance for plasma fusion experiments. They will become an integral part of the data acquisition system for the Wendelstein 7-X (W7-X) stellarator. In the scope of long duration discharges (∼30 min), as intended for W7-X, the data rate produced by numerous imaging systems will be huge. Data acquisition, processing, monitoring and archiving are to be carried out in continuous mode during the discharge. Upcoming large fusion experiments, such as W7-X and ITER, demand a paradigm shift regarding the future approach of scientific data analysis: The guideline should be the avoidance of permanent human inspection and interaction . Therefore, data acquisition for W7-X is designed to facilitate the implementation and configuration of data processing modules. The proper design of system components such as AnalysisModules (image processing) and TimeGroupModules (relevant for data acquisition performance) is essential to reduce image data before transmission to the archive. Pattern recognition will be offered as one approach to condense image data without loss of significant information. During the start-up phase of each experimental campaign that is operating in a new parameter regime, science images will have to be archived with high temporal, spatial, and dynamical resolution in order to derive significant patterns that will build up a pattern library. |
Databáze: | OpenAIRE |
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