Analysis of beamline running state and forewarning by using MATLAB in SSRF

Hao SUN; Peirong GONG

doi:10.11889/j.0253-3219.2016.hjs.39.070104

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Analysis of beamline running state and forewarning by using MATLAB in SSRF

SYNCHROTRON RADIATION TECHNOLOGY AND APPLICATIONS | 更新时间：2021-05-24

- Analysis of beamline running state and forewarning by using MATLAB in SSRF
- NUCLEAR TECHNIQUES Vol. 39, Issue 7, Article number: 070104(2016)
- 作者机构：
  
  1.中国科学院上海应用物理研究所张江园区上海 201204;
  2.中国科学院大学北京 100049
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China
- DOI：10.11889/j.0253-3219.2016.hjs.39.070104
  CLC： TN911.7
- Received：14 March 2016，
  
  Revised：18 April 2016，
  
  Published：2016-07
- 稿件说明：
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Hao SUN, Peirong GONG. Analysis of beamline running state and forewarning by using MATLAB in SSRF[J]. Nuclear techniques, 2016, 39(7): 070104
DOI：

Hao SUN, Peirong GONG. Analysis of beamline running state and forewarning by using MATLAB in SSRF[J]. Nuclear techniques, 2016, 39(7): 070104 DOI： 10.11889/j.0253-3219.2016.hjs.39.070104.

摘要

随着上海光源（Shanghai Synchrotron Radiation Facility

SSRF）新建光束线站数量的增加，其运行状态的参数记录每年都在成倍地增长，光束线站建设之初实施的运行数据处理方法已不能满足用户不断增长的需求。为此，采用MATLAB连接光束线的Archive数据库，发展了一种新的光束线运行数据的处理方法，本文通过对两条光束线单色器温度信号的数据分析，说明了MATLAB神经网络可根据数据的变化情况给出相应信号的预警提示，利用MATLAB强大的数据功能，还可有效地提高光束线站设备运行数据的分析处理能力。

Abstract

Background

With the increasing number of beamlines in Shanghai Synchrotron Radiation Facility (SSRF)

the amount of the parameter records of the running state grows exponentially year by year

while the data processing method implemented at the beginning of the construction of beamlines could not meet new user requirements.

Purpose

This study aims to solve this problem by using MATLAB. Methods: The fault pattern recognition system with strong nonlinear mapping ability was developed by using MATLAB

and the neural network was adopted to analyze the running data

which could get the result we want and give pre-warning information

via

the connection between the MATLAB and Archive database.

Results

Analysis result of the two temperatures record data of the monochrometer at BL13W and BL17U beamlines demonstrated the efficiency of this method.

Conclusion

MATLAB can be used to improve analytical ability of running data and successfully identify pre-warning for each beamline in SSRF.

关键词

Keywords

references

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