Journal of Jilin University(Engineering and Technology Edition) ›› 2020, Vol. 50 ›› Issue (1): 382-388.doi: 10.13229/j.cnki.jdxbgxb20181069

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Oil and gas detection method and experimental new technology based on bionic nasal chamber optimization

Xiao-hui WENG1,2,3(),You-hong SUN4,Shu-jun ZHANG1,2,5,Jun XIE1,2,Zhi-yong CHANG1,2,4()   

  1. 1. Key Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun 130022, China
    2. College of Biological and Agricultural Engineering, Jilin University, Changchun 130022, China
    3. College of Mechanical and Aerospace Engineering, Jilin University, Changchun 130022, China
    4. National?Local Joint Engineering Laboratory of In?situ Conversion, Drilling and Exploitation Technology for Oil Shale, Jilin University, Changchun 130021, China
    5. School of Computing and Technology, University of Gloucestershire, The Park, Cheltenham GL50 2RH, UK
  • Received:2018-10-09 Online:2020-01-01 Published:2020-02-06
  • Contact: Zhi-yong CHANG E-mail:wengxiaohui@jlu.edu.cn;zychang@jlu.edu.cn

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Abstract:

A small bionic electronic nose system for oil and gas detection was designed. By analyzing the structural characteristics and flow field distribution inside the nasal passage of the dog's nasal chamber, an optimized bionic electronic nasal chamber simulating the nasal chamber of the dog was proposed, which effectively solved the problems of bloated and inflexible operation of the oil and gas detection device. The 3-D printed chamber sample was used to evaluate the detection effect of hydrocarbon mixed gas. The 10-fold cross-validation method was used to compare the recognition effects of random forest, naive Bayes, extreme learning machine and support vector machine algorithms. The results show that the sensitivity of the electronic nose system after optimizing the detection chamber is obviously higher than that of the ordinary chamber electronic nose system, and the recognition rate is increased by 5.5%. The CFD analysis results of the 3D simulation chamber also verify the validity of the bionic nasal chamber.

Key words: technology of instruments and meter, electronic nose, dog nasal chamber, bionic design, oil and gas detection, sensor

CLC Number: 

  • TH763

Table 1

Factor-level table for common nasal chamber design"

水 平 因 素
A/mm B/mm C/（m?s-1） D/s
1 20 75 0.5 60
2 30 85 0.8 90
3 40 95 1.2 120
离差平方和 0.183 0.052 0.101 0.001
均方 0.115 0.061 0.072 0.021
F 4.241 1.034 3.124 0.021

Fig.1

Common nasal chamber structure of electronic nose"

Fig.2

Intranasal fluid dynamics of canine olfaction"

Fig.3

Bionic chamber structure of electronic nose"

Table 2

Factor?level table for bionic nasal chamber design"

水平 因素
E F G H I
1 30 10 10 20 10
2 40 15 15 30 15
3 50 20 20 40 20
离差平方和 0.002 0.073 0.192 0.012 0.051
均方 0.005 0.063 0.131 0.011 0.026
F 0.014 2.245 4.713 0.021 1.134

Fig.4

3D printed electronic nose"

Table 3

Concentration ratio of sample gas components"

种 类 体积浓度/%
甲烷 乙烷 二氧化碳 氮气
1 1 1 8 90
2 2 1.5 6.5 90
3 3 2 5 90

Fig.5

Flow chart of electronic nose system"

Fig.6

Composition diagram of electronic nose system"

Fig.7

"

Fig.8

Comparison of recognition rates by different algorithms"

Fig.9

Eddy strength comparison of sensor surface"

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