报导了自行研制的微型电子鼻系统，它是以普通金属氧化物气敏传感器阵列组成的探测特定气体的高效系统。测量技术应用了人工神经元网络出色的模式识别能力。整个系统由传感器阵列、信号调理电路、电脑溴泡、结果显示电路组成，具有灵敏度、准确度高、抗干扰能力强等优良性能，克服了一般电子鼻仪器体积大、成本高的缺点，并可以简便地重复开发。介绍了微型电子鼻的测量原理和方法，并着重介绍了仪器制作和测量结果。 Reported a self-developed miniature electronic nose system, which is based on a common metal oxide gas sensor array to detect specific gases efficient system. Measurement technology uses the excellent pattern recognition capabilities of artificial neural networks. The entire system consists of sensor array, signal conditioning circuit, computer bromine bubble, the result display circuit, with high sensitivity, high accuracy, anti-interference ability and other excellent performance, to overcome the general electronic nose instrument bulky, high cost shortcomings, and can Easy to repeat development. Introduced the measurement principle and method of miniature electronic nose, and emphatically introduced the instrument manufacture and the measurement result.