Processing operation data of beamline in SSRF based on Matlab neuron networks

Computer Engineering and Applications ›› 2016, Vol. 52 ›› Issue (16): 233-237.

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Processing operation data of beamline in SSRF based on Matlab neuron networks

SUN Hao1，2, GONG Peirong2

1.University of the Chinese Academy of Sciences, Beijing 100049, China
2.Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201204, China

Online:2016-08-15 Published:2016-08-12

MATLAB神经网络分析上海光源光束线的运行数据

孙皓1，2，龚培荣2

1.中国科学院大学，北京 100049
2.中国科学院上海应用物理研究所，上海 201204

Abstract

Abstract: The operation data of the beamline in SSRF is non-linear, complex and irregular. The data analysis tool selects the Matlab. The connection between the Matlab and archive database are introduced, neural network algorithm is selected for data analysis of the historic running data of the beamline. A temperature data from the monochromator of the BL13W beamline during one month is applied and the analysis results indicate the pre-alarm information of the monitored equipment is the same as the assumption of the classification before.

Key words: Matlab, archive, neural network, beamline, data analysis

摘要： 上海光源光束线运行状态的记录数据具有非线性、复杂和无规律的特点，利用神经网络可有效地分析和处理这些数据。选用Matlab进行数据提取和分析，介绍了Matlab与archive数据库间的数据连接，并用神经网络模式识别对光束线设备运行的状态参量进行数据训练，给出了BL13W光束线站单色器中某一温度运行参量的分类预警及其运行数据分析处理的结果。

关键词: Matlab, archive, 神经网络, 光束线, 数据分析

SUN Hao1，2, GONG Peirong2. Processing operation data of beamline in SSRF based on Matlab neuron networks[J]. Computer Engineering and Applications, 2016, 52(16): 233-237.

孙皓1，2，龚培荣2. MATLAB神经网络分析上海光源光束线的运行数据[J]. 计算机工程与应用, 2016, 52(16): 233-237.

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Processing operation data of beamline in SSRF based on Matlab neuron networks

MATLAB神经网络分析上海光源光束线的运行数据

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