A Quantitative Detection System of Volatile Organic Compounds Based on Combining Sensor Array and BP Neural Network

doi:10.7652/xjtuxb202110012

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A Quantitative Detection System of Volatile Organic Compounds Based on Combining Sensor Array and BP Neural Network

更新时间：2025-07-09

- A Quantitative Detection System of Volatile Organic Compounds Based on Combining Sensor Array and BP Neural Network
- Vol. 55, Issue 10, Pages: 106-113(2021)
- 作者机构：
  
  1. 西安交通大学机械制造与系统工程国家重点实验室,西安,710049
  2. 西安交通大学机械工程学院,西安,710049
- 作者简介：
- 基金信息：
- DOI：10.7652/xjtuxb202110012
  CLC： TH776
- Online First：10 October 2021，
  
  Published：2021
- 稿件说明：
移动端阅览
A Quantitative Detection System of Volatile Organic Compounds Based on Combining Sensor Array and BP Neural Network[J]. 2021, 55(10): 106-113.
DOI：

A Quantitative Detection System of Volatile Organic Compounds Based on Combining Sensor Array and BP Neural Network[J]. 2021, 55(10): 106-113. DOI： 10.7652/xjtuxb202110012.

摘要

为了快速准确获得挥发性有机物浓度

提出了一种基于金属氧化物气体传感器阵列和BP神经网络的挥发性有机物定量检测系统。首先

使用4个金属氧化物气体传感器组成传感器阵列

将被测气体组分与浓度转化为电信号波形

对传感器阵列信号进行特征提取得到特征矩阵; 然后

使用BP神经网络实现目标气体浓度的检测

对BP神经网络拓扑结构设计与参数进行优化; 最后

使用遗传算法提高BP神经网络检测精度。采用该检测系统检测混合气体中挥发性有机物异戊二烯浓度

检测结果表明

异戊二烯、氨气混合气体和异戊二烯、丙酮、乙醇混合气体中异戊二烯体积分数的均方根误差分别是0.058和0.077

系统满足挥发性有机物定量检测均方根误差低于0.1的要求。

Abstract

A quantitative detection system of volatile organic compounds based on metal oxide gas sensor array and BP neural network is proposed to quickly and accurately obtain the concentration of volatile organic compounds. The detection system uses four metal oxide gas sensors to form a sensor array

and converts the composition and concentration of the measured gas into electrical signal waveforms

and a feature matrix is obtained by feature extraction of the sensor array signals. Then

the BP neural network is used to detect the concentration of the target gas

and the topology design and parameters of the BP neural network are optimized. Finally a genetic algorithm is used to improve the detection accuracy of BP neural network. The detection system is used to detect the concentration of volatile organic compound isoprene. Test results show that the root mean square error of the isoprene volume fraction in mixed gas of isoprene

ammonia and mixed gas of isoprene

acetone and ethanol are 0.058 and 0.077 respectively. The system meets the requirement that the root mean square error of the quantitative detection of volatile organic compounds is less than 0.1.

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references

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