结合传感器阵列和BP神经网络的挥发性有机物定量检测系统

金成; 王久洪; 张成; 张泽; 王海容

doi:10.7652/xjtuxb202110012

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结合传感器阵列和BP神经网络的挥发性有机物定量检测系统

更新时间：2025-07-09

- 结合传感器阵列和BP神经网络的挥发性有机物定量检测系统
- A Quantitative Detection System of Volatile Organic Compounds Based on Combining Sensor Array and BP Neural Network
- 西安交通大学学报 2021年55卷第10期页码：106-113
- 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：
  
  : 2021-03-10。作者简介: 金成(1995—),男,硕士生;王久洪(通信作者),男,高级工程师。基金项目: 陕西省重点研发计划资助项目(2020GY-137,2019GY-121)
- DOI：10.7652/xjtuxb202110012
  中图分类号： TH776
- 网络首发：2021-10-10，
  
  纸质出版：2021
- 稿件说明：
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金成, 王久洪, 张成, 等. 结合传感器阵列和BP神经网络的挥发性有机物定量检测系统[J]. 西安交通大学学报, 2021,55(10):106-113.

A Quantitative Detection System of Volatile Organic Compounds Based on Combining Sensor Array and BP Neural Network[J]. 2021, 55(10): 106-113.
金成, 王久洪, 张成, 等. 结合传感器阵列和BP神经网络的挥发性有机物定量检测系统[J]. 西安交通大学学报, 2021,55(10):106-113. DOI： 10.7652/xjtuxb202110012.

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

DADAMIO J, VAN DEN VELDE S, LALEMAN W, et al. Breath biomarkers of liver cirrhosis [J]. Journal of Chromatography: B, 2012, 905: 17-22.

张泉水, 夏莉, 刘晋洪, 等. 异戊二烯与精神分裂症的相关性研究 [J]. 中国健康心理学杂志, 2009, 17(3): 347-349.

ZHANG Quanshui, XIA Li, LIU Jinhong, et al. Correlation study on isoprene breath levels and schizophrenia [J]. China Journal of Health Psychology, 2009, 17(3): 347-349.

孙美秀, 陈珠英, 赵晓萌, 等. 可用于诊断非酒精性脂肪肝疾病的同时测量丙酮和异戊二烯CRDS呼吸分析仪研究 [J]. 安徽师范大学学报(自然科学版), 2015, 38(4): 316-321, 326.

SUN Meixiu, CHEN Zhuying, ZHAO Xiaomeng, et al. Study of simultaneous measurements of acetone and isoprene CRDS breath analyzer for diagnosis of nonalcoholic fatty liver disease [J]. Journal of Anhui Normal University(Natural Science), 2015, 38(4): 316-321, 326.

王禹, 高晓光, 何秀丽, 等. 用于挥发性有机物检测的二次电喷雾电离离子迁移率谱系统 [J]. 测试技术学报, 2017, 31(4): 304-310.

WANG Yu, GAO Xiaoguang, HE Xiuli, et al. Secondary electrospray ionization ion mobility spectrometer for VOCs detection [J]. Journal of Test and Measurement Technology, 2017, 31(4): 304-310.

王海容, 姚宇清, 陈晓伟, 等. 一种用于异戊二烯气体检测的气体传感器的制备方法: 中国, CN106568812B [P]. 2020-03-17.

王海容, 陈晓伟, 张成, 等. 一种基于半导体气敏传感器阵列检测呼出气体装置: 中国, CN106841325B [P]. 2019-10-11.

HAN Baoqing, WANG Jiuhong, YANG Wanying, et al. Hydrothermal synthesis of flower-like In2O3 as a chemiresistive isoprene sensor for breath analysis [J]. Sensors and Actuators: B Chemical, 2020, 309: 127788.

SOTELO J G, BONILLA-RÍOS J, GARCÍA-ESCOBAR F, et al. Film growth of tetragonal SnO2 on glass substrate by dip-coating technique for ethanol sensing applications [J]. Coatings, 2021, 11(3): 303.

WANG Long, WU Tong, WU Han, et al. A novel non-enzymatic hydrogen peroxide sensor based on Co: ZnO modified electrodes [J]. Progress in Natural Science: Materials International, 2018, 28(1): 24-27.

王哲, 殷文强, 谢利娟, 等. 水热法制备Sn掺杂TiO2纳米颗粒及其丙酮传感器应用 [J]. 功能材料, 2020, 51(11): 11175-11181.

WANG Zhe, YIN Wenqiang, XIE Lijuan, et al. Acetone sensing applications of Sn modified TiO2 porous nanoparticles synthesized via facile hydrothermal method [J]. Journal of Functional Materials, 2020, 51(11): 11175-11181.

HAN Baoqing, WANG Hairong, YANG Wanying, et al. Hierarchical Pt-decorated In2O3 microspheres with highly enhanced isoprene sensing properties [J]. Ceramics International, 2021, 47(7): 9477-9485.

BEHERA B, CHANDRA S. Synthesis of WO3 nanorods by thermal oxidation technique for NO2 gas sensing application [J]. Materials Science in Semiconductor Processing, 2018, 86: 79-84.

周旻, 李星醒, 李屹. 呼吸氨检测在慢性肾脏病诊断中的应用 [J]. 医疗装备, 2021, 34(2): 193-195.

ZHOU Min, LI Xingxing, LI Yi. Application of respiratory ammonia detection in the diagnosis of chronic kidney disease [J]. Medical Equipment, 2021, 34(2): 193-195.

李青原, 孙美秀, 王储记, 等. 呼吸丙酮用于糖尿病监管的研究进展及临床应用前景 [J]. 国际生物医学工程杂志, 2019, 42(3): 231-238.

LI Qingyuan, SUN Meixiu, WANG Chuji, et al. Breath acetone: trends in techniques and its potential clinical applications in diabetes management [J]. International Journal of Biomedical Engineering, 2019, 42(3): 231-238.

赵红恩. 乙醇对肝脏代谢的影响 [J]. 临床合理用药杂志, 2010, 3(19): 59.

ZHAO Hong'en. The effect of ethanol on liver metabolism [J]. Chinese Journal of Clinical Rational Drug Use, 2010, 3(19): 59.

MARCO S, GUTIERREZ-GALVEZ A. Signal and data processing for machine olfaction and chemical sensing: a review [J]. IEEE Sensors Journal, 2012, 12(11): 3189-3214.

CHEN Zhiyun, ZHENG Yangong, CHEN Ken, et al. Concentration estimator of mixed VOC gases using sensor array with neural networks and decision tree learning [J]. IEEE Sensors Journal, 2017, 17(6): 1884-1892.

刘曼云, 赵正旭, 郭阳, 等. 交叉验证的BP神经网络恒星光谱分类 [J]. 计算机系统应用, 2020, 29(5): 11-18.

LIU Manyun, ZHAO Zhengxu, GUO Yang, et al. Cross-validation BP neural network stellar spectral classification [J]. Computer Systems Applications, 2020, 29(5): 11-18.

BASTUCK M, BAUR T, RICHTER M, et al. Comparison of ppb-level gas measurements with a metal-oxide semiconductor gas sensor in two independent laboratories [J]. Sensors and Actuators: B Chemical, 2018, 273: 1037-1046.

权凌霄, 郭海鑫, 盛世伟, 等. 采用“GA+LM”优化BP神经网络的电液伺服阀故障诊断 [J]. 中国机械工程, 2018, 29(5): 505-510.

QUAN Lingxiao, GUO Haixin, SHENG Shiwei, et al. Fault diagnosis of electro hydraulic servo valves based on GA+LM algorithm optimized BP neural networks [J]. China Mechanical Engineering, 2018, 29(5): 505-510.

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