激光杂志
激光雜誌
격광잡지
LASER JOURNAL
2015年
1期
74-77
,共4页
光谱学%电子舌%PCA%BP神经网络%LabVIEW
光譜學%電子舌%PCA%BP神經網絡%LabVIEW
광보학%전자설%PCA%BP신경망락%LabVIEW
Spectroscopy%electronic tongue%PCA%BP neural network%Labview
为了能够在不对样品本身产生污染的前提下,对液体样品中的目标成分进行高效、准确的检测,本文基于Labview虚拟仪器和近红外光谱吸收技术,设计并完成了一套电子舌系统。该电子舌系统由近红外激光发射模块,样品池模块,探测器模块和基于LabVIEW虚拟仪器的上位机模块四个主要部分组成。 PCA( Principal Component Analysis,主成分分析)算法和BP( Back Propagation,反向传播)神经网络通过LabVIEW虚拟仪器所提供的MATLAB Script节点,被集成到上位机软件中,并被用来对采集到的数据进行分析。在实际测试中,该电子舌被用来对盐酸、氨水和乙醇溶液进行检测,测试结果表明该电子舌系统能够对检测对象的种类进行准确的区分,且能够在保证较高精度的前提下定量检测出液体中目标成分的浓度。总的说来,该电子舌能够较好的满足设计需求,运行稳定可靠,检测速度快,识别准确度高。
為瞭能夠在不對樣品本身產生汙染的前提下,對液體樣品中的目標成分進行高效、準確的檢測,本文基于Labview虛擬儀器和近紅外光譜吸收技術,設計併完成瞭一套電子舌繫統。該電子舌繫統由近紅外激光髮射模塊,樣品池模塊,探測器模塊和基于LabVIEW虛擬儀器的上位機模塊四箇主要部分組成。 PCA( Principal Component Analysis,主成分分析)算法和BP( Back Propagation,反嚮傳播)神經網絡通過LabVIEW虛擬儀器所提供的MATLAB Script節點,被集成到上位機軟件中,併被用來對採集到的數據進行分析。在實際測試中,該電子舌被用來對鹽痠、氨水和乙醇溶液進行檢測,測試結果錶明該電子舌繫統能夠對檢測對象的種類進行準確的區分,且能夠在保證較高精度的前提下定量檢測齣液體中目標成分的濃度。總的說來,該電子舌能夠較好的滿足設計需求,運行穩定可靠,檢測速度快,識彆準確度高。
위료능구재불대양품본신산생오염적전제하,대액체양품중적목표성분진행고효、준학적검측,본문기우Labview허의의기화근홍외광보흡수기술,설계병완성료일투전자설계통。해전자설계통유근홍외격광발사모괴,양품지모괴,탐측기모괴화기우LabVIEW허의의기적상위궤모괴사개주요부분조성。 PCA( Principal Component Analysis,주성분분석)산법화BP( Back Propagation,반향전파)신경망락통과LabVIEW허의의기소제공적MATLAB Script절점,피집성도상위궤연건중,병피용래대채집도적수거진행분석。재실제측시중,해전자설피용래대염산、안수화을순용액진행검측,측시결과표명해전자설계통능구대검측대상적충류진행준학적구분,차능구재보증교고정도적전제하정량검측출액체중목표성분적농도。총적설래,해전자설능구교호적만족설계수구,운행은정가고,검측속도쾌,식별준학도고。
In order to detect the target components of liquid samples efficiently and accurately without polluting the samples, an electronic tongue based on LabVIEW virtual instruments and near -infrared spectral absorption technolo-gy was designed and completed. The completed electronic tongue was composed of four mainmodules:near infrared la-ser emission module, sample cell module, detector module and upper computer module based on LabVIEW virtual in-strument. PCA ( Principal Component Analysis) and BP ( Back Propagation) neural network were integrated to the up-per computer via MATLAB script node supplied by LabVIEW virtual instruments, and were used to analysis the data collected. In the actual tests, the electronic tongue was used to detect the concentration of hydrochloric acid, ammoni-um hydroxide and ethanol solution. The test results indicated that the designed can differentiate these target samples accurately, and can detect the concentration of these liquids with high accuracy. Generally speaking, the designed e-lectronic tongue is sufficient in satisfying the requirements of the proposed, and can work steadily with high testing speed and accuracy.