Generally, the accuracy of the key-values extraction algorithm of experimental data will affect the adjustment of the operating parameters of the experimental device, especially when the NBI (Neutral Beam Injector) ion source breakdown occurs. The instability of the internal plasma of the ion source caused by the mismatch of operating parameters is the main cause of breakdown of the NBI ion source. For the problem of poor accuracy of the existing key-values extraction algorithms for experimental data, this paper proposes an improved algorithm based on Ordering Points To Identify the Clustering Structure (OPTICS). By improving the judgment of the core-points of the data and the method of searching for core-objects, the time complexity of the algorithm is reduced and the accuracy of the experimental data extraction is improved. The results show that the improved OPTICS algorithm can reach the accuracy of the experimental requirements, meet the data analysis requirements of the EAST-NBI long pulse operation, and can also provide a reference for the failure analysis during the experimental operation.

中文翻译：

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基于改进OPTICS算法的EAST-NBI实验数据处理方法

一般来说，实验数据的键值提取算法的准确性会影响实验装置运行参数的调整，特别是当NBI（Neutral Beam Injector）离子源发生故障时。工作参数不匹配导致的离子源内部等离子体的不稳定是导致NBI离子源击穿的主要原因。针对现有实验数据键值提取算法精度较差的问题，提出一种基于排序点识别聚类结构（OPTICS）的改进算法。通过改进数据核心点的判断和核心对象的搜索方法，降低了算法的时间复杂度，提高了实验数据提取的准确性。结果表明，改进的OPTICS算法能够达到实验要求的精度，满足EAST-NBI长脉冲运行的数据分析要求，也可以为实验运行过程中的故障分析提供参考。