基于微波谐振技术的活性炭质量检测  

Activated Carbon Weight Detection Based on Microwave Resonance Technology

作　　者：郑家忠 李志刚[1] 陈风 郭忠明 王澍[1] 计敏[1] Zheng Jiazhong;Li Zhigang;Chen Feng;Guo Zhongming;Wang Shu;Ji Min(Hefei Institutes of Physical Science,Chinese Academy of Sciences,Hefei 230031,Anhui,China;University of Science and Technology of China,Hefei 230026,Anhui,China;Longyan Tobacco Industry Co.,Ltd.,Longyan 364030,Fujian,China)

机构地区：[1]中国科学院合肥物质科学研究院,安徽合肥230031 [2]中国科学技术大学,安徽合肥230026 [3]龙岩烟草工业有限责任公司,福建龙岩364030

出　　处：《激光与光电子学进展》2023年第17期213-221,共9页Laser & Optoelectronics Progress

摘　　要：为提高活性炭含量检测的效率与精度,基于微波谐振技术设计了一种活性炭滤棒微波幅值变化信号采集装置,并将高斯滤波和惩罚最小二乘算法相结合对微波幅值变化信号进行降噪和基线扣除处理。首先,比较了不同高斯窗口长度的滤波效果,选用非对称最小二乘法、自适应迭代重加权惩罚最小二乘法、非对称重加权惩罚最小二乘法和多约束重加权惩罚最小二乘法等4种处理方法对微波幅值变化信号进行基线校正,再求出基线校正后微波幅值变化信号的峰高、峰面积与半峰全宽,然后比较了基于支持向量回归机、偏最小二乘算法与反向传播神经网络建立的模型的预测结果。结果显示,活性炭质量的最佳模型为“峰面积-活性炭质量”,模型决定系数为0.9924,平均绝对误差为0.7979 mg,相对标准偏差为1.4962%。活性炭质量重复性检测最大标准差为1.85 mg,活性炭质量检测的最小绝对偏差为0.03 mg,活性炭质量检测最小相对偏差为0.05%。该方法为烟用活性炭滤棒中活性炭的定量分析提供了一种快速有效的方法。Based on microwave resonance technology,a microwave amplitude change signal acquisition device of an activated carbon filter rod is created,and noise reduction and baseline deduction of the microwave amplitude change signal is combined with Gaussian filtering and the penalty least squares algorithm to improve the efficiency and accuracy of the detected activated carbon content.At first,the filtering effects of different Gaussian window lengths are compared.Following that,four processing methods were used to correct the baseline of the signal spectrum,including asymmetric least squares,adaptive iteratively reweighted penalized least squares,asymmetric reweighted penalized least squares,and multi-constrained reweighted penalized least squares,the peak height,peak area,and half-peak width of the microwave amplitude change signals after baseline correction were obtained.The models developed using the partial least squares algorithm,neural networks,and support vector regression were then compared.Finally,the repeatability,accuracy,and sensitivity of the detection device were assessed.The results revealed that the best model for activated carbon weight was“peak area-activated carbon weight”with a model determination coefficient of 0.9924,an average absolute error of 0.7979 mg,and a relative standard deviation of 1.4962%.The maximum standard deviation of activated carbon weight repeatability was 1.85 mg,the minimum absolute deviation for activated carbon weight testing was 0.03 mg,and the minimum relative deviation of activated carbon weight detection was 0.05%,resulting in a quick and effective method for quantifying analysis of activated carbon in an activated carbonfilter rod for tobacco.

关 键 词：测量 微波谐振技术 基线校正 惩罚最小二乘法 活性炭 质量 

分 类 号：TS4[农业科学—烟草工业] TP2[自动化与计算机技术—检测技术与自动化装置]