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基于磁旋光效应的质量浓度测量仪优化设计
引用本文:王芳,王超群,王明远,修素朴,刘玉芳. 基于磁旋光效应的质量浓度测量仪优化设计[J]. 河南师范大学学报(自然科学版), 2013, 41(2): 61-63
作者姓名:王芳  王超群  王明远  修素朴  刘玉芳
作者单位:河南师范大学物理与电子工程学院,河南新乡,453007
摘    要:在原旋光仪的基础上,提出用法拉第磁光效应测量溶液质量浓度的方法.通过改变电流的大小让光矢量自动旋转到消光位置,将机械转动转角量转变为电学量进行测量,降低了由机械转动所带来的误差对测量精度的影响.通过对Verdet常数进行校准的测量,运用人工神经网络BP算法进行反馈学习,得出更精确的电学量与溶液质量浓度的比例关系,使误差降到最低.实现了对溶液质量浓度的静态测量,有成本低,测量简单,噪声小,寿命长,精度高等优点.

关 键 词:旋光效应  法拉第磁光效应  Verdet常数  BP神经网络

Optimal Design of Mass Concentration Measuring Instrument Based on The Magnetic Rotation Effect
WANG Fang , WANG Chaoqun , WANG Mingyuan , XIU Supu , LIU Yufang. Optimal Design of Mass Concentration Measuring Instrument Based on The Magnetic Rotation Effect[J]. Journal of Henan Normal University(Natural Science), 2013, 41(2): 61-63
Authors:WANG Fang    WANG Chaoqun    WANG Mingyuan    XIU Supu    LIU Yufang
Affiliation:(College of Physics and Electronic Engineering,Henan Normal University,Xinxiang 453007,China)
Abstract:Based on the original optical instrument,the method using magneto-optical Faraday effect to measure the concentration of solution could be put forward.By changing the current size,the light vector could automatically rotate to extinction position,the mechanical rotation angle weight also be changed by electric quantity measurement,the mechanical rotation error caused by the influence on measurement accuracy can be reduced.The Verdet constant calibration is measured and artificial neural network BP algorithm is used for feedback learning.More accurate electrical quantity and concentration ratio could be obtained,so that the error reduce to a minimum.The concentration of the solution could be measured statically,cheap and simple.Small noise,long service life and high precision could be expected.
Keywords:rotation effect  Faraday magneto-optical effect  Verdet constant  BP neural network
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