基于MATLAB的上海光源光束线运行状态分析与预警  

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

作　　者：孙皓[1,2] 龚培荣[1] 

机构地区：[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

出　　处：《核技术》2016年第7期21-25,共5页Nuclear Techniques

基　　金：国家自然科学基金(No.U1232115)资助~~

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。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-waming 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：MATLAB 光束线站 Archive数据库 数据分析 

分 类 号：TN911.7[电子电信—通信与信息系统]