摘要
智能电子鼻对于有害气体和可燃性气体的检测具有重要意义;以NI公司Labview9.0为测试平台,利用PCI-1710HG数据采集卡、传感器阵列设计构成智能电子鼻系统;采用测量室和气体流量计精密控制气体密度和状态;虚拟仪器开发平台用于实时监测和显示采集得到的曲线和数据,并通过遗传算法改进后的BP神经网络进行分析,得到不同气体的浓度;最后使用不同阻值的精密电阻替代传感器对系统进行测试,结果表明系统对多种气体检测都具有高精度和高稳定性,能够进行高效智能化检测。
It is important for intelligent electronic nose to detect harmful gases and combustible gases. The intelligent electronic nose system based on labviewg. 0, PCI-1710HG data acquisition card and sensor array is designed. Measuring room and the gas flow meter are used to control the density and state of the gas precisely. The real--time monitoring, the displaying of collection curve and data are based on virtual instrument development platform LabVIEW, and it is combined with the improved BP neural network to analysis and get the concentrations of different gases. At last sensor array is replaced by different value of precision resistance to test the accuracy and stability of the system. The results show that the system has high precision and high stability with variety of gases detection and can detect effectively and intelligently.
出处
《计算机测量与控制》
CSCD
北大核心
2012年第6期1596-1598,1605,共4页
Computer Measurement &Control
关键词
传感器阵列
模式识别
神经网络
匹配电阻
sensor array, pattern recognition, neural network, matched resistant
