Data quality of the tokamaks diagnostics is often a neglected topic. In literature it is rather rare to find considerations regarding the data quality received from the diagnostic systems’ sensors. The scope of the paper is to provide a discussion regarding systems’ construction and analysis in scope of implementation of data quality monitoring methods for a new generation of diagnostics. Mainly considerations are performed regarding the necessity of DQM (Data Quality Monitoring) implementation, functionality, performance and required system resources. The covered topics are related to basics of system construction including: system layout and construction blocks, data processing stages, signal processing modes, system construction with resource estimation in scope of DQM implementation. Based on the covered points, it is possible to plan the extra resources or specific construction, to provide reliable design with data quality monitoring features. The data quality monitoring aspect is especially important in the modern diagnostics working with a real-time feedback loop. Such approach could be especially interesting for the ITER-like projects, since the quality of the data may directly influence the behavior of the control systems during plasma phenomena. The work is based on experience in design work of various high performance diagnostic systems for plasma physics and high energy physics.

中文翻译：

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在托卡马克设施中使用的高性能原始信号处理实时系统中实施的数据质量监控注意事项

托卡马克诊断的数据质量通常是一个被忽视的话题。在文献中，很少考虑从诊断系统的传感器接收到的数据质量。论文的范围是在新一代诊断的数据质量监测方法的实施范围内提供系统构建和分析的讨论。主要考虑 DQM（数据质量监控）实施的必要性、功能、性能和所需的系统资源。涵盖的主题与系统构建的基础知识相关，包括：系统布局和构建块、数据处理阶段、信号处理模式、系统构建以及 DQM 实施范围内的资源估计。根据涵盖的点，可以规划额外的资源或特定的建设，以提供具有数据质量监控功能的可靠设计。数据质量监控方面在使用实时反馈回路的现代诊断中尤为重要。这种方法对于类似 ITER 的项目可能特别有趣，因为数据的质量可能直接影响等离子体现象期间控制系统的行为。这项工作基于等离子体物理和高能物理的各种高性能诊断系统的设计工作经验。这种方法对于类似 ITER 的项目可能特别有趣，因为数据的质量可能直接影响等离子体现象期间控制系统的行为。这项工作基于等离子体物理和高能物理的各种高性能诊断系统的设计工作经验。这种方法对于类似 ITER 的项目可能特别有趣，因为数据的质量可能直接影响等离子体现象期间控制系统的行为。这项工作基于等离子体物理和高能物理的各种高性能诊断系统的设计工作经验。