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Bionic Layout Optimization of Sensor Array in Electronic Nose for Oil Shale Pyrolysis Process Detection
Journal of Bionic Engineering ( IF 4.9 ) Pub Date : 2021-03-27 , DOI: 10.1007/s42235-021-0022-2
Xiaohui Weng , Youhong Sun , Jun Xie , Sunhua Deng , Zhiyong Chang

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.



中文翻译:

页岩热解过程电子鼻传感器阵列的仿生布局优化

为了满足油页岩热解过程小型化检测的要求,解决油气检测装置灵敏度低的问题,设计了小型仿生电子鼻系统。受小鼠鼻腔嗅觉受体工作方式的启发,首次提出并实现了电子鼻腔传感器阵列的仿生空间排列策略,该传感器阵列用于模拟小鼠嗅觉的分布。细胞。使用3D打印技术,制造了电子鼻腔的实体模型,并进行了油页岩热解气检测的对比测试。结果表明,所提出的电子鼻腔内传感器阵列的空间布置策略可以实现电子鼻系统的小型化,增强检测灵敏度,减小相互干扰误差。而且,它可以提高仿生空间策略布局的识别率,高于平面布局和空间比较布局。这种结合朴素贝叶斯算法的仿生空间策略布局实现了最高识别率,为94.4%。从计算流体动力学(CFD)分析获得的结果还表明,仿生空间策略布局可以改善传感器的响应。它可以提高仿生空间策略布局的识别率,高于平面布局和空间比较布局。这种结合朴素贝叶斯算法的仿生空间策略布局实现了最高识别率,为94.4%。从计算流体动力学(CFD)分析获得的结果还表明,仿生空间策略布局可以改善传感器的响应。它可以提高仿生空间策略布局的识别率,高于平面布局和空间比较布局。这种结合朴素贝叶斯算法的仿生空间策略布局实现了最高识别率,为94.4%。从计算流体动力学(CFD)分析获得的结果还表明,仿生空间策略布局可以改善传感器的响应。

更新日期:2021-03-27
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