近红外光谱吸收技术的无线电子鼻设计

基于近红外光谱吸收技术，设计并开发出了一套能够高效、准确地对目标气体进行检测的电子鼻系统。电子鼻系统主要包括近红外激光发射单元、气室单元、系统控制单元、人机界面单元。主成分分析(PCA)算法和反向传播(BP)神经网络通过LabVIEW所提供的MATLAB Script节点，集成到上位机软件中，并用来对采集到的数据进行分析。结果表明，该电子鼻在网络训练次数达到1 000次以上时达到稳定，且精度达到0.000 1。对白醋、米醋和苹果醋进行食品分辨，识别准确率达到100%，实现了高精度、高稳定度和高分辨率的设计目标，具有较好的应用前景。

Design of wireless electronic nose based on near infrared spectral absorption technology

An e-nose system based on near infrared spectral absorption technology which can be used to detect target gases accurately and efficiently was designed and implemented in this paper. The e-nose was composed of near infrared laser emission unit, gas cell unit, system controller unit, and human-machine interface. Principal Component Analysis (PCA) algorithm and Back Propagation (BP) neural network for analyzing the collected date were integrated into the upper computer software by the MATLAB Script node supplied by LabVIEW. The results indicate that the e-nose is stable, and its accuracy is 0.0001, when the time of the networks training reach more than 1 000. The recognition accuracy rate in recognizing the white vinegar, rice vinegar and apple vinegar is 100%, which can achieves the design goal of high-precision, high-stability, high resolution, and behaves good application prospects.