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作 者:高源 孙兰香[2,3,4] 李翔宇 解鸽 辛勇[2,3,4] Gao Yuan;Sun Lanxiang;Li Xiangyu;Xie Ge;Xin Yong(School of Automation and Electrical Engineering,Shenyang Ligong University,Shenyang 110159,Liaoning,China;State Key Laboratory of Robotics,Shenyang Institute of Automation,Chinese Academy of Sciences,Shenyang 110016,Liaoning,China;Key Laboratory of Networked Control Systems,Chinese Academy of Sciences,Shenyang 110016,Liaoning,China;Institutes for Robotics and Intelligent Manufacturing,Chinese Academy of Sciences,Shenyang 110169,Liaoning,China;University of Chinese Academy of Sciences,Beijing 100049,China)
机构地区:[1]沈阳理工大学自动化与电气工程学院,辽宁沈阳110159 [2]中国科学院沈阳自动化研究所机器人学国家重点实验室,辽宁沈阳110016 [3]中国科学院网络化控制系统重点实验室,辽宁沈阳110016 [4]中国科学院机器人与智能制造创新研究院,辽宁沈阳110169 [5]中国科学院大学,北京100049
出 处:《中国激光》2023年第19期190-198,共9页Chinese Journal of Lasers
基 金:国家自然科学基金(62173321);中国科学院区域服务网络计划项目(KFJ-STS-QYZD-2021-19-002)。
摘 要:激光诱导击穿光谱(LIBS)技术以其在线、原位、实时、多元素分析等特点,被应用于烧结矿混合料成分的快速检测。在工业现场中,经过配比后的烧结矿混合料含有一定的水分。笔者通过配制不同含水量的烧结矿混合料样本,研究了混合料中的含水量与光谱强度之间的关系,建立了烧结矿中Fe、Ca、Si、Mg等4种元素的定量分析模型,结果发现含水量对结果的稳定性和准确性都产生了严重影响。在此基础上,笔者提出了一种基于谱线强度相关性匹配的光谱标准化(SICMS)方法,对不同水分区间下的光谱进行修正,将其转换到标准水分区间内的光谱。实验结果表明:样本中的含水量与光谱强度均值之间存在一种线性关系,可以用光谱平均值间接地表示含水量;采用所提光谱标准化方法对不同水分下的光谱进行修正,可以明显提高定量分析结果的稳定性和准确性。Objective The steel industry is an important economic pillar of China.At present,sinter accounts for more than 70%of blast furnace iron-making charge.Maintaining the stability of each component of sinter is important to ensure smelting efficiency and quality.Presently,sinter composition analysis generally adopts off-line sampling,and then adopts chemical titration or X-ray fluorescence spectrometry to determine the complex samples after preparation.Some use neutron activation technology to perform online measurement,but because of radioactivity,they are not widely used.Laser-induced breakdown spectroscopy(LIBS)has been widely used in many fields owing to its advantages of real-time,online,in situ,no radiation contamination,and total element analysis.In the production process of sinter,the mixture contains a certain amount of moisture,and the level of moisture affects the intensity and stability of the LIBS spectrum.Studies on the influence of the sample moisture mainly focus on soil,coal,rock debris,etc.;however,studies on the influence of the sinter mixture moisture have not been reported.In this study,the influence of moisture on the quantitative analysis accuracy of Fe,Ca,Si and Mg mass fraction in sinter is discussed by configuring sintered mixture samples with different moisture contents,and a correction method to reduce the influence of the moisture content by spectral standardization is proposed.The spectral stability and quantitative analysis accuracy are improved by correcting the spectral differences under different moisture contents.Methods The moisture content in sinter has considerable influence on the strength of the LIBS spectrum as well as the accuracy and stability of the prediction of the quantitative analysis model.In the experiment,the spectral features were screened using the wrapping algorithm in combination with the ridge regression model,and the optimal subset selected was placed in the partial least squares(PLS)model to establish a quantitative analysis model.Further,a spectrum standardiz
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