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Microcontroller Based Sensor-Array Data Acquisition System for Electronic Nose

机译:基于微控制器的传感器阵列数据采集系统,用于电子鼻

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The development of a microcontroller-based data acquisition for the processing of the real-time data of a QCM Sensor array-based E-Nose system and its output on a graphical user interface (GUI) has been discussed. The working model of the E-nose comprises 4 QCM sensors connected to a multi-core processor(P8X32A-Q44), a multi-core processor chip, which is connected serially to Raspberry-Pi4 where the data acquisition and processing is carried out. The live graphs of the frequency changes and related outputs can be viewed through the GUI, which is touch operated. The system is designed to take and simultaneously plot the real-time data continuously of the four QCM sensors for a particular sample and consequently perform composite analysis based upon the user choice. The GUI also allows the user to distinguish the samples using the principal component analysis (PCA) algorithm that has been developed using the Linux platform which has been implemented on the E-nose dataset.
机译:已经讨论了用于处理基于QCM传感器阵列的电子鼻系统的实时数据的基于微控制器的数据采集及其在图形用户界面(GUI)上的输出。电子鼻的工作模型包括连接到多核处理器(P8X32A-Q44)的4个QCM传感器,该多核处理器芯片串联连接到Raspberry-Pi4,其中执行数据采集和处理。可以通过GUI查看频率变化和相关输出的实时图,这是触摸操作的GUI。该系统旨在以特定样本的四个QCM传感器连续地进行并同时绘制实时数据,从而基于用户选择进行复合分析。 GUI还允许用户使用使用Linux平台开发的主要成分分析(PCA)算法来区分样本,该算法已经在电子鼻带上实现。

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