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Artificial olfactory system and an application thereof

机译:人工嗅觉系统及其应用

摘要

The present invention relates to an artificial olfactory system (100), comprising of an inlet (101); a gas chamber (110) having a detector means, connected to a data acquisition system (104); a heater (112) and a plurality of fans (115); a humidity absorber (111); an outlet (102); a vacuum pump (103); characterized by the detector means having a plurality of sensors (121) in each of a plurality of clusters (120), wherein the plurality of sensors (121) in each of the plurality of clusters (120) comprises identical sensors capable of responding to a particular gas or vapor. The present invention also relates to a method for detecting a gas or a vapor from the artificial olfactory system (100), comprising the step of exposing the gas or vapor to the plurality of sensors (121) to produce a plurality of output signals from the plurality of sensors (121); transferring the plurality of output signals to the data acquisition system (104); extracting median data from the plurality of output signals; applying a principal component analysis (PCA), neural network, and least square regression analysis on the median data from all of the plurality of clusters (120).
机译:本发明涉及一种人工嗅觉系统( 100 ),其包括入口( 101 );具有检测器装置的气室( 110 ),其连接到数据采集系统( 104 );加热器( 112 )和多个风扇( 115 );吸湿剂( 111 );插座( 102 );真空泵( 103 );其特征在于,检测器装置在多个簇( 120 )的每一个中具有多个传感器( 121 ),其中多个传感器( 121 120 )中的每个簇中的B>)都包含能够响应特定气体或蒸汽的相同传感器。本发明还涉及一种用于检测来自人工嗅觉系统( 100 )的气体或蒸气的方法,该方法包括将气体或蒸气暴露于多个传感器( 121)的步骤。 )以从多个传感器( 121 )产生多个输出信号;将多个输出信号传输到数据采集系统( 104 );从多个输出信号中提取中值数据;对来自所有多个群集( 120 )的中位数数据应用主成分分析(PCA),神经网络和最小二乘回归分析。

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