Microcontroller Based Sensor-Array Data Acquisition System for Electronic Nose

2020 IEEE 1st International Conference for Convergence in Engineering (ICCE) Pub Date : 2020-09-05 DOI:10.1109/ICCE50343.2020.9290704

Nilava Debabhuti, Rishav Sen, A. Sengupta, Sahil Sengupta, Prolay Sharma, B. Tudu, R. Bandyopadhyay, N. Bhattacharyya

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Abstract

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.

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基于单片机的传感器阵列电子鼻数据采集系统

讨论了一种基于微控制器的数据采集系统的开发，用于处理基于QCM传感器阵列的电子鼻系统的实时数据及其在图形用户界面(GUI)上的输出。电子鼻的工作模型包括4个QCM传感器，连接到多核处理器(P8X32A-Q44)，多核处理器芯片串行连接到Raspberry-Pi4进行数据采集和处理。频率变化和相关输出的实时图形可以通过触摸操作的GUI查看。该系统旨在为特定样品同时绘制四个QCM传感器的连续实时数据，并根据用户选择执行复合分析。GUI还允许用户使用主成分分析(PCA)算法来区分样本，该算法是使用Linux平台开发的，该平台已在电子鼻数据集上实现。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2020 IEEE 1st International Conference for Convergence in Engineering (ICCE)

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