人工嗅觉系统具有广阔的发展和应用前景，但气敏传感器阵列的漂移问题造成其难以适应在线工作，是长期困扰电子鼻技术发展和应用的主要难题之一。针对这一情况，提出“基于‘漂移图谱’的人工嗅觉系统在线‘定性-定量’漂移抑制方法”的研究。本课题以“漂移图谱”作为研究切入点，以漂移模型和漂移抑制方法为主要研究内容，以实现漂移影响下在线气体“定性”和“定量”识别为目标，按照“漂移数学模型——漂移抑制方法在线化——定量漂移抑制方法”的研究思路，研究人工嗅觉系统漂移产生和变化机理，系统性地探索在线条件下支持“定性-定量”识别的人工嗅觉系统漂移抑制理论，提出一套完整的在线 “特征提取——识别——校正”方法，为电子鼻技术的实用和普及化，提高我国在人工嗅觉领域研究水平提供理论和技术支撑。

An artificial olfactory system has broad prospects for development and application, but the drift of gas-sensor array causes it difficult to adapt to work online, it is the main problem of the development and application of electronic-nose technology in a long time. In response to this situation, the research “on-line drift counteraction methodology for qualitative and quantitative identification of an artificial olfactory system based on drift maps” is proposed. This issue sets "drift map" as study entry point, the drift model and drift counteraction methodology as the main research content, the qualitative and quantitative gas identification under drift influence as the target. This issue researches the drift existing and changing mechanism of an artificial olfactory system according to research ideas that "drift mathematical model – on-line drift counteraction methods online - quantitative drift counteraction methods", systematically explores the drift theory for "qualitative - quantitative" identification of an artificial olfactory system under online conditions, puts forward a complete on-line "feature extraction - identification - correction" approach. This issue can promote practical and universal applications of Electronic nose technology and provide the theoretical and technical support in the field of artificial olfaction of our country.