摘要
针对目前分类算法计算量大、效率低的缺点,设计了基于Labview和主成分分析法的仿生嗅觉传感系统。由32位阵列传感器组成的电子鼻装置对气味信息进行采集,经处理变换成Labview平台所需要的数字信息,使用Labview内部集成的MathScript RT节点,能够将Matlab软件开发的.m文件嵌入其中,结合这种分析方法,利用广东罗浮山生产的百草油为样本进行了实验研究,实现了对样本的快速、准确的鉴别。
In order to overcome the disadvantages of large calculation and low efficiency of current classification algorithm,a bionic olfactory sensing system based on Labview and principal component analysis is designed.The odor information is collected by an electronic nose device consisting of a 32-bit array of sensors,which is transformed into the digital information required by Labview platform after processing,by using the Labview internally-integrated MathScript RT node,to be able to them file can be embedded developed by Matlab.Combined with this analysis method,experimental studies takes as samples of grass bouquet oil produced by luofu mountain of guangdong province.and the sample was identified quickly and accurately.
作者
聂蓉
黄杰
NIE Rong;HUANG Jie(Hunan Railway Professional Technology College,Hunan Zhuzhou 412001,China)
出处
《自动化与仪器仪表》
2019年第9期32-34,共3页
Automation & Instrumentation
基金
2017年湖南省教育厅科学研究项目的资助成果(No.17C1040)
