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

Wu Han’nan; Yue Min; Ma Tao; Zhang Wei; Zhang Jie

doi:10.11884/HPLPB202436.230413

Volume 36 Issue 7

May 2024

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Article Navigation > High Power Laser and Particle Beams > 2024 > 36(7): 074003

Wu Han’nan, Yue Min, Ma Tao, et al. Design and implementation of a historical image data storage system for fluorescent target[J]. High Power Laser and Particle Beams, 2024, 36: 074003. doi: 10.11884/HPLPB202436.230413

Citation:

Wu Han’nan, Yue Min, Ma Tao, et al. Design and implementation of a historical image data storage system for fluorescent target[J]. High Power Laser and Particle Beams, 2024, 36: 074003. doi: 10.11884/HPLPB202436.230413

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

doi: 10.11884/HPLPB202436.230413

Wu Han’nan^{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

Received Date: 2023-11-21
Accepted Date: 2024-03-13
Rev Recd Date: 2024-03-13

Available Online: 2024-04-13

Publish Date: 2024-05-31

Abstract

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. 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

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References(16)

References

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