可视嗅觉系统分析与设计  

Analysis and Design of Smell-Seeing Electronic Nose System

作　　者：郭冬敏[1] 杨建华[1] 李秉玺[1] 

机构地区：[1]西北工业大学自动化学院,西安710072

出　　处：《传感技术学报》2006年第3期562-565,568,共5页Chinese Journal of Sensors and Actuators

基　　金：西北工业大学研究生种子基金;英才计划联合资助

摘　　要：新型的气体检测装置是根据传感器敏感单元遇到不同气味所呈现的颜色差异,通过将气味的特征信息转换为图像信息识别气体,具有检测精度高和受环境湿度影响较小的优点。文章分析了传感器的工作原理和响应图像,给出了消除杂散光对图像干扰的处理方法和图像识别算法,介绍了基于ARM/Linux的嵌入式系统作为电子鼻实现平台的思路。利用该系统准确识别了环己胺、二甲基亚砜和乙腈三种有机化合物,验证了所构造的系统的有效性。Smell-seeing electronic nose utilizes color changes induced in array of sensors when exposed to organic substances to detect odors. It is a new odor detection device with the advantages of high detecting precision and immunity to environment vapor. Principle of electronic nose and response of sensor are analyzed; eliminating technique aimed to heterogeneous light and recognizing image method are designed; an idea that using embedded system based on ARM/Linux as hardware/software platform of electronic nose is provided. The system can detect hexylamine, dimethyl sulphoxide and acetonitrile properly and is verified that it is valid.

关 键 词：可视嗅觉 图像识别 电子鼻 

分 类 号：TP212.2[自动化与计算机技术—检测技术与自动化装置]