Auto-Recording System for Long-Pulse Negative Ion–Based Neutral Beam Injection Experimental Data

IF 0.9 4区工程技术 Q3 NUCLEAR SCIENCE & TECHNOLOGY

Fusion Science and Technology Pub Date : 2023-09-19 DOI:10.1080/15361055.2023.2240184

Y. Li, C. D. Hu, Y. Z. Zhao, S. H. Song, Y. H. Xie, Y. Gu, Z. Wang, T. Ban, Q. L. Cui

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引用次数: 0

Abstract

AbstractFor long-pulse negative ion–based neutral beam injection (NNBI) experiments, an automatic recording system was designed. The data processing algorithm of neutral beam injection was implemented on the basis of existing methods, and different experimental data were processed in a mode-based method according to the physical characteristics of the neutral beam injection experiment. Based on MDSplus segment storage technology, the range of recorded data was determined by intercepting the segment sequence number of the time series data. LabVIEW was used to achieve the efficient and accurate transmission of experimental processing data. A set of tests demonstrates that the NNBI auto-recording system meets the requirements of the NNBI experience in data processing accuracy (normalized mean square error [NMSE] < 0.04), data transmission accuracy (>98%), and data affect presentation. This system not only obviously improves the work efficiency, but also provides more reliable data sources for the intelligent analysis and processing of the NNBI system.Keywords: NNBIion sourceMDSplusdata processing Disclosure StatementNo potential conflict of interest was reported by the authors.Additional informationFundingThis work was supported by the National Key R&D Program of China (no. 2017YFE300101), the National Natural Science Foundation of China (no. 11975261), and the Comprehensive Research Facility for Fusion Technology Program of China (no. 2018-000052-73-01-001228).

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长脉冲负离子基中性束注入实验数据自动记录系统

摘要针对长脉冲负离子基中性束注入(NNBI)实验，设计了一个自动记录系统。中性束注入数据处理算法在现有方法的基础上实现，并根据中性束注入实验的物理特性，采用基于模型的方法对不同的实验数据进行处理。基于MDSplus分段存储技术，通过截取时间序列数据的分段序号来确定所记录数据的范围。利用LabVIEW实现了实验加工数据的高效、准确的传输。一组测试表明，NNBI自动记录系统在数据处理精度(归一化均方误差[NMSE] < 0.04)、数据传输精度(>98%)和数据影响呈现方面满足NNBI经验的要求。该系统不仅明显提高了工作效率，而且为NNBI系统的智能分析和处理提供了更可靠的数据来源。关键词:NNBIion来源dsplusdata处理披露声明作者未报告潜在利益冲突。项目资助:国家重点科技发展计划项目(no. 1);2017YFE300101)，国家自然科学基金项目(2017YFE300101);国家核聚变技术综合研究设施项目(no. 11975261);2018-000052-73-01-001228)。

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来源期刊

Fusion Science and Technology 工程技术-核科学技术

CiteScore

2.00

自引率

11.10%

发文量

审稿时长

3 months

期刊介绍： Fusion Science and Technology, a research journal of the American Nuclear Society, publishes original research and review papers on fusion plasma physics and plasma engineering, fusion nuclear technology and materials science, fusion plasma enabling science technology, fusion applications, and fusion design and systems studies.