Drix Damien, Schmuker Michael
Biocomputation group, Department of Computer Science, University of Hertfordshire, Hatfield AL10 9AB, United Kingdom.
ACS Sens. 2021 Mar 26;6(3):688-692. doi: 10.1021/acssensors.0c02006. Epub 2021 Feb 1.
Electronic olfaction can help detect and localize harmful gases and pollutants, but the turbulence of the natural environment presents a particular challenge: odor encounters are intermittent, and an effective electronic nose must therefore be able to resolve short odor pulses. The slow responses of the widely used metal oxide (MOX) gas sensors complicate the task. Here, we combine high-resolution data acquisition with a processing method based on Kalman filtering and absolute-deadband sampling to extract fast onset events. We find that our system can resolve the onset time of odor encounters with enough precision for source direction estimation with a pair of MOX sensors in a stereo-osmic configuration.
电子嗅觉技术有助于检测和定位有害气体及污染物，但自然环境中的湍流带来了特殊挑战：气味的接触是间歇性的，因此有效的电子鼻必须能够分辨短暂的气味脉冲。广泛使用的金属氧化物（MOX）气体传感器响应缓慢，使这项任务变得复杂。在此，我们将高分辨率数据采集与基于卡尔曼滤波和绝对死区采样的处理方法相结合，以提取快速起始事件。我们发现，我们的系统能够以足够的精度分辨气味接触的起始时间，从而利用一对处于立体嗅觉配置的MOX传感器进行源方向估计。
