But with the development of artificial intelligence and artificial neural network , especially the sharp increase of integration level and speed of neural network chip , the electronic olfactory system employed artificial neural network will develop quickly and be applied widely 随着人工智能和人工神经网络的发展，特别是神经网络芯片集成度和速度的提高，应用人工神经网络的电子嗅觉系统必将得到迅速发展和广泛应用。
After introducing the development of robots olfaction and smelling robots , the article concludes the principle and frame of smelling robots based on the analysis of the principle of biology and searching odor source algorithms , then expatiates on the signal processing algorithms , pattern recognition technology , and presents many searching algorithms 本文介绍了机器人嗅觉系统以及嗅觉机器人的发展现状,通过对生物的嗅觉机理以及对生物搜寻气源方式的研究,总结归纳了嗅觉机器人的工作原理和结构。介绍了传感器信号的预处理算法和模式识别技术和几种常用气源搜寻策略。
The hardware system of electronic nose is introduced in detail . the odor signal processing methods based electronic nose is researched in full - scale and systematically . at last , some tested data are used to testify the effect of all the processing methods 本文介绍了人工嗅觉系统电子鼻的研究现状和应用领域,分析了电子鼻在气味检测中的优势,详细介绍了电子鼻系统的各个硬件组成部分,全面系统地研究了电子鼻信号处理中的各种方法,并利用实测数据对各种信号处理方法在气体等级鉴别中的作用进行了实验分析。
In this thesis , the fundamental principle and system constituent of the electronic olfactory system are analyzed and studied ; a set of detection system of gas mixture , combined gas sensor array with artificial neural network pattern recognition technology , is designed and constructed . employing this system , the processing ability and identification results of several preprocessing algorithms and artificial neural network models are compared and analyzed . and finally the following conclusions are arrived : 1 ) gas sensor array coupled with pattern recognition technology has the good ability to identify the gas species and quantify its concentration 本文分析研究了电子嗅觉系统的基本原理和系统组成，设计构建了一套气体传感器阵列和人工神经网络模式识别技术相结合的混合气体检测系统，并利用这套系统对目前在电子嗅觉系统中使用较广泛的几种信号预处理算法和人工神经网络模型的处理能力和辨识效果进行了分析和比较，最后得出了以下结论： 1 )气体传感器阵列与模式识别技术相结合能够很好地分析和辨识混合气体组份及其浓度。
As the advancement of science and technology and the development of industry , the requirements of the detection and analysis of multicomponent gases are on great rise . but existing detection methods cannot meet them . therefore , the intelligent electronic olfactory system ( electronic nose ) based on gas sensor array and pattern recognition has become the new tendency of gas detection because it can meet the main requirements such as high sensitivity , good selectivity , long - term stability , low cost and so on 随着科学技术的进步和工业生产的发展，对多组份气体的检测和分析的要求不断提高，但是现有的检测手段越来越不能满足需要，因而发展低成本、高性能的结合了气体传感器阵列与模式识别技术的智能电子嗅觉系统(电子鼻)已成为气体检测的新趋势。
