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.
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Acknowledgment
This work was supported by the National Natural Science Found of China (51875245), the Science-Technology Development Plan Project of Jilin Province (20190303012SF, 20190303118SF and 20190201019JC), the Special Project of Industrial Technology Research and Development of Jilin Province (2018C036-2), the “13th Five-Year Plan” Scientific Research Foundation of the Education Department of Jilin Province (JJKH20201000KJ and JJKH20201019KJ), the Fundamental Research Funds for the Central Universities.
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Weng, X., Sun, Y., Xie, J. et al. Bionic Layout Optimization of Sensor Array in Electronic Nose for Oil Shale Pyrolysis Process Detection. J Bionic Eng 18, 441–452 (2021). https://doi.org/10.1007/s42235-021-0022-2
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DOI: https://doi.org/10.1007/s42235-021-0022-2