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Journal of Bionic Engineering ›› 2021, Vol. 18 ›› Issue (2): 441-452.doi: 10.1007/s42235-021-0022-2

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Bionic Layout Optimization of Sensor Array in Electronic Nose for Oil Shale Pyrolysis Process Detection

Xiaohui Weng1, Youhong Sun2,3, Jun Xie4, Sunhua Deng3, Zhiyong Chang5,6*   

  1. 1. School of Mechanical and Aerospace Engineering, Jilin University, Changchun 130022, China
    2. School of Engineering and Technology, China University of Geosciences, Beijing 100083, China
    3. National-Local Joint Engineering Laboratory of In-situ Conversion, Drilling and Exploitation Technology for Oil Shale, 
    Changchun 130021, China
    4. Air Combat Service Academy, Air Force Aviation University, Changchun 130022, China
    5. College of Biological and Agricultural Engineering, Jilin University, Changchun 130022, China
    6. Key Laboratory of Bionic Engineering, Ministry of Education, Changchun 130022, China

  • Received:2020-12-31 Revised:2021-01-29 Accepted:2021-02-06 Online:2021-03-10 Published:2021-03-28
  • Contact: Zhiyong Chang E-mail:zychang@jlu.edu.cn
  • About author:Xiaohui Weng1, Youhong Sun2,3, Jun Xie4, Sunhua Deng3, Zhiyong Chang5,6*

Abstract: In order to meet the requirements for miniaturization detection of oil shale pyrolysis process and solve the problem of low sensitivity of oil and gas detection devices, a small bionic electronic nose system was designed. Inspired by the working mode of the olfactory receptors in the mouse nasal cavity, the bionic spatial arrangement strategy of the sensor array in the electronic nose chamber was proposed and realized for the first time, the sensor array was used to simulate the distribution of mouse olfactory cells. Using 3D printing technology, a solid model of the electronic nose chamber was manufactured and a comparative test of oil shale pyrolysis gas detection was carried out. The results showed that the proposed spatial arrangement strategy of sensor array inside electronic nose chamber can realize the miniaturization of the electronic nose system, strengthen the detection sensitivity and weaken the mutual interference error. Moreover, it can enhance the recognition rate of the bionic spatial strategy layout, which is higher than the planar layout and spatial comparison layout. This bionic spatial strategy layout combining naive bayes algorithm achieves the highest recognition rate, which is 94.4%. Results obtained from the Computational Fluid Dynamics (CFD) analysis also indicate that the bionic spatial strategy layout can improve the responses of sensors.

Key words: electronic nose, bionic layout, sensor array, oil shale pyrolysis detection