Resistive Measurement Method for MQ Sensors Based on ADCs of Microcontrollers

IF 3.4 3区计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS

IEEE Access Pub Date : 2024-10-03 DOI:10.1109/ACCESS.2024.3472697

Sanya Kaunkid;Apinan Aurasopon;Wanchai Khamsen;Chiraphon Takeang;Nawarat Piladaeng;Jaime Lloret

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引用次数: 0

Abstract

This paper proposes a system for measuring unknown resistances for metal oxide MQ gas sensors. The circuit configuration is based on the Anderson current loop interface, which connects directly to an Arduino Mega 2560. We analyze errors arising from variations in supply voltage of conventional divider circuits, including those introduced by the Analog-to-Digital Conversion (ADC) of microcontroller. To enhance the accuracy of resistance measurements, a voting technique for selecting the optimal unknown resistances is introduced. In this technique, the digital voltage at each node is analyzed to determine the frequency of occurrence of each level. If a particular voltage level has a frequency of occurrence greater than the reference threshold k, it is selected. If no voltage level meets this criterion, the average of the observed voltage levels is used. From the experimental results, unknown resistances were measured in the range of 362 – 15,

$397~\Omega $

with a maximum approximated error of 0.55% with

$k =90$

%, while the gas content was measured with a maximum error of approximately 0.24% under conditions of power supply voltage fluctuation from 4.9 to 5.1 V.

查看原文本刊更多论文

基于微控制器 ADC 的 MQ 传感器电阻测量方法

本文提出了一种测量金属氧化物 MQ 气体传感器未知电阻的系统。电路配置基于安德森电流环接口，可直接连接到 Arduino Mega 2560。我们分析了传统分压器电路电源电压变化引起的误差，包括微控制器模数转换器 (ADC) 带来的误差。为了提高电阻测量的准确性，我们引入了一种用于选择最佳未知电阻的投票技术。在该技术中，对每个节点的数字电压进行分析，以确定每个电平出现的频率。如果某个电压电平的出现频率大于参考阈值 k，则会被选中。如果没有电压电平符合这一标准，则使用观察到的电压电平的平均值。从实验结果来看，在 362 - 15, $397~\Omega $ 的范围内测量了未知电阻，在 $k =90$ % 的条件下，最大近似误差为 0.55%，而在电源电压从 4.9 V 波动到 5.1 V 的条件下测量了气体含量，最大误差约为 0.24%。

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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来源期刊

IEEE Access COMPUTER SCIENCE, INFORMATION SYSTEMSENGIN-ENGINEERING, ELECTRICAL & ELECTRONIC

CiteScore

9.80

自引率

7.70%

发文量

6673

审稿时长

6 weeks

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