一种标定硝酸盐含量新方法的研究  

Research on a New Method for Calibrating the Nitrate Content

作　　者：王雅冠 项昭保[2] 张炜[3] 刘崇武[3] 

机构地区：[1]重庆邮电大学工业物联网与网络化控制教育部重点实验室,重庆400065 [2]重庆邮电大学生物医学工程研究中心,重庆400065 [3]中国科学院重庆绿色智能技术研究院跨尺度制造技术重点实验室,重庆400714

出　　处：《光散射学报》2015年第1期92-96,共5页The Journal of Light Scattering

基　　金：中国科学院西部行动计划项目(Y23z072J10);重庆市基础与前沿研究计划一般项目(CSTC2014jcyjA10099)

摘　　要：针对水中存在碘离子、溴离子等干扰物时硝酸根浓度的测定问题,本论文将最小二乘支持向量回归机应用于混合溶液的光谱数据分析并建立起硝酸根、碘离子和溴离子含量的预测模型。实验结果表明:经过本文算法训练后的模型可以较准确的预测混合溶液中硝酸根的含量,基本消除了碘离子、溴离子对测定的干扰。本方法与传统方法相比较,无需化学和物理方法分离,精度高,速度快,适用于水质在线监测系统中对硝酸根含量的测定。Aiming at the problem of the determination of nitrate concentration in the presence of iodine ion,bromide ion and other substance,this paper analyzes spectral data of the mixed solution using least squares support vector regression machine and builds the prediction model for nitrate,iodide ion and bromide ion concentration.The experimental results demonstrate that the model trained by proposed method can predict the content of nitrate in the mixed solution accurately and basically eliminate interference on determination provided by iodide,bromide ion.Compared with traditional methods,the advantages of proposed method can be listed as high-precision,rapid reaction and no necessary for chemical and physical separation during determining the content of nitrate.And this method also can be applied to online water quality monitoring system for the determination of nitrate content.

关 键 词：最小二乘支持向量回归 硝酸根 碘离子 溴离子 

分 类 号：O43[机械工程—光学工程]