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核聚变与等离子体物理 ›› 2022, Vol. 42 ›› Issue (s1): 131-136.DOI: 10.16568/j.0254-6086.2022s1007

• 核聚变工程 • 上一篇    下一篇

激光实验诊断集成管控系统中人工智能技术应用

陈伯伦,王 鹏,夏立琼,童 杰,杨 川,苏春晓,王 峰*,杨家敏   

  1. (中国工程物理研究院激光聚变研究中心,绵阳 621900)
  • 收稿日期:2021-07-21 修回日期:2022-01-27 出版日期:2022-05-15 发布日期:2022-05-23
  • 作者简介:陈伯伦(1979-),男,河北石家庄人,博士,副研究员,从事等离子体物理及X射线诊断研究。
  • 基金资助:
    国家重点研发计划(2017YFA04033)

Applications of AI technique in the diagnostic integrated management and control system in laser facility experiments

CHEN Bo-lun, WANG Peng, XIA Li-qiong, TONG Jie, YANG Chuan, SU Chun-xiao, WANG Feng, YANG Jia-min   

  1. (Laser Fusion Research Center, CAEP, Mianyang 621900)
  • Received:2021-07-21 Revised:2022-01-27 Online:2022-05-15 Published:2022-05-23

摘要: 针对激光聚变实验中诊断系统种类多、原理各异、排布变换频繁等特点,发展了基于流程驱动的诊断集成管控系统。对控制节点中依赖经验以及人工判读的测量系统参数配置、系统瞄准、多诊断系统空间干涉等操作流程,开展基于深度学习技术的示波器量程智能化设置、自动瞄准以及空间干涉预警技术等诊断系统智能化控制方法的初步探索。

关键词: 激光聚变, 集成管控, 人工智能, 深度学习

Abstract: A novel integrated computer management and control system is designed with procedure driven framework to manage and control different types of the diagnostics in inertial confinement fusion (ICF) facility. The AI technique is also considered to apply in the control system to implement the autonomous control instead of manual operations in diagnostic setup, system alignment and spatial interference checking. The researches and explores are carried out recently and established on parameters setup of oscilloscope with convolutional neural network (CNN), auto-alignment of diagnostics with Mask-CNN and interference checking and warning with image fusion.

Key words: ICF, Integrated computer management and control, AI, Deep learning

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