荧光靶历史图像数据存储系统设计与实现

吴汉楠; 岳敏; 马涛; 张玮; 张洁

doi:10.11884/HPLPB202436.230413

荧光靶历史图像数据存储系统设计与实现

doi: 10.11884/HPLPB202436.230413

吴汉楠^{1, 2,},
岳敏^2, ,,
马涛²,
张玮²,
张洁^1, ,

1.
西北师范大学物理与电子工程学院兰州 730070
2.
中国科学院近代物理研究所兰州 730000

详细信息

作者简介:
吴汉楠，wuhannan@impcas.ac.cn

通讯作者:
岳　敏，yuemin@impcas.ac.cn。

张　洁，zhangjie@nwnu.edu.cn。

中图分类号: TL507
计量
- 文章访问数: 27
- HTML全文浏览量: 11
- PDF下载量: 1
- 被引次数: 0
出版历程
- 收稿日期: 2023-11-21
- 修回日期: 2024-03-13
- 录用日期: 2024-02-09
- 网络出版日期: 2024-04-13

Design and implementation of a fluorescent target historical image data storage system

Wu Hannan^{1, 2
,},
Yue min^{2
, ,},
Ma tao²,
Zhang Wei²,
Zhang jie^{1
, ,}

1.
College of Physics and Electronic Engineering, Northwest Normal University, Lanzhou 730070, China
2.
Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China

摘要

摘要: 针对兰州重离子研究装置（HHIRFL）荧光靶历史图像数据存储系统所产生的数据不断递增和历史数据检索速度慢的问题，构建了基于MongoDB数据库的荧光靶历史图像数据存储系统。为了能够保存和观测分析荧光靶束流图像，搭建了基于EPICS的历史数据归档系统获取荧光靶图像过程变量（PV）数据，用MongoDB数据库分片技术对所得数据进行存储，通过Django框架完成图像的转化和Web页面的实现，并在系统中应用了图像分类算法，提高了数据读写的速率。该系统在HIRFL上可以稳定获取、存储、观测荧光靶束流历史图像，为束流分析、调束工作提供了便利。
- 重离子加速器 /
- 荧光靶图像 /
- 数据归档 /
- MongoDB数据库 /
- Django框架
Abstract: A fluorescence target historical image data storage system based on MongoDB database was constructed to address the issues of historical image data storage, continuously increasing data generated by the system, and slow historical data retrieval speed of the Heavy Ion Research Facility in Lanzhou (HIRFL) fluorescence target. In order to save, observe and analyze fluorescence target beam images, this article establishes an EPICS based historical data archiving system to obtain PV (Process Variable) data of fluorescence target images. The obtained data is stored using MongoDB database sharding technology, and the image conversion and web page implementation are achieved through the Django framework. Image classification algorithms are applied in the system to improve data read and write speed. This system can stably obtain, store, and observe fluorescence target beam history images on HIRFL, providing convenience for beam analysis and tuning work.
- heavy ion accelerator /
- fluorescent target image /
- data archiving /
- MongoDB database /
- Django framework

HTML全文

图 1 EPICS Archiver Appliance系统架构

Figure 1. EPICS Archiver Appliance System Architecture

下载: 全尺寸图片幻灯片

图 2 BD10:VS01在monitor模式下的历史数据曲线

Figure 2. BD10: Historical data curve of BD10:VS01 in monitor mode

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图 3 荧光靶历史图像数据存储系统架构

Figure 3. Architecture of Historical Image Data Storage System for Fluorescent Target

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图 4 MongoDB数据库分片

Figure 4. MongoDB database sharding

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图 5 无观测价值的荧光靶图像

Figure 5. Fluorescent target image with no observation value

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图 6 有束流的荧光靶图像

Figure 6. Fluorescent target image with beam current

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图 7 相似度对比算法流程图

Figure 7. Similarity Comparison Algorithm Flowchart

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图 8 Django基本框架

Figure 8. Django Basic Framework

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图 9 Web页面实现

Figure 9. Web page implementation

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