基于嵌入式系统的电子鼻研究与实现  

Research and Implementation an Electronic Nose Based on Embedded System

作　　者：张延军[1] 刘敬彪[1] 蔡强 方向生 吴文娟 刘锐 王彦闯 

机构地区：[1]杭州电子科技大学电子信息学院,杭州310018 [2]浙江清华长三角研究院,浙江嘉兴314006

出　　处：《电子器件》2010年第4期466-470,共5页Chinese Journal of Electron Devices

基　　金：国家科技支撑项目子课题<农产品物流过程品质动态监测与跟踪技术研究>资助(2006BAD30B03-02);土壤和地下水污染快速诊断和高效修复技术的合作研究(2008DFA91300)

摘　　要：研制了一种基于ARM7和μC/OS-Ⅱ的便携式电子鼻系统,包括传感器阵列、信号采集模块、嵌入式系统和模式识别等模块,其中ARM7选用飞利浦公司的LPC2214,模式识别采用BP神经网络。选用TGS822,TGS826,TGS800,TGS825作为传感器阵列对贮藏在5℃的猪肉进行品质检测时,系统整体识别正确率达到90.9%,并且表现出较强的稳定性。系统具有体积小,功耗较低,携带方便等优点。Here developed the portable electronic nose system based on ARM7 and μC/OS-Ⅱ.This system includes sensor array,signal collection module,embedded system and pattern recognition module,in which LPC2214 and BP neural network were adopted as MCU and pattern recognition method respectively.For evaluation of pork freshness,the TGS822,TGS826,TGS800,TGS825 were integrated as sensor array to detect quality of pork stored at 5 ℃.The results show that the recognition accuracy of the system achieved an overall rate of 90.9%,and the system was also demonstrated very stable.Also this system displays the advantage of small size,low power consumption,easy to carry and so on.

关 键 词：电子鼻 便携式 BP网络 ARM7 μC/OS-Ⅱ 

分 类 号：TP216[自动化与计算机技术—检测技术与自动化装置]