一种以斑马鱼为灵感的视觉-嗅觉仿生传感系统，用于混淆液体的定位和识别

IF 8 1区化学 Q1 CHEMISTRY, ANALYTICAL

Sensors and Actuators B: Chemical Pub Date : 2025-05-26 DOI:10.1016/j.snb.2025.138053

Tianyi Gu , Shuai Liu , Qi Pu , Jing Wang , Bin Wang , Xiaolong Hu , Peng Sun , Qingrun Li , Liang Zhu , Fangmeng Liu , Geyu Lu

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引用次数: 0

摘要

随着传感器技术的飞速发展，现代检测系统具有先进的检测能力。然而，对于具有相似颜色或气味的易混淆液体的检测，传统的单模态检测系统仍然存在分类性能差的问题。本课题以斑马鱼视黄醛-嗅球回路的信号融合机制为灵感，开发了一种创新的视觉-嗅觉仿生传感系统，可以即时捕捉被测7种易混淆液体（水、硫酸铜溶液、高锰酸钾溶液、氯化铁溶液、丙酮、酒精和氢氧化铵）的空间位置、形状、颜色、气味特征，实现准确定位和识别。在模拟生产场景中，视觉嗅觉智能传感系统不仅可以准确定位被测液体，还可以引导装载气体传感器阵列的机械臂，实现较高的分类性能。我们开发的视觉嗅觉检测系统对7种典型的易混淆液体的识别准确率为97.4%，分别比嗅觉和视觉检测方法高41.8%和24.7%。视觉-嗅觉仿生传感系统对类似的特征干扰表现出出色的耐受性，突出了其在电子工业自动化生产中强大的可混淆液体识别的巨大潜力。

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A visual-olfactory bionic sensing system bioinspired from zebraﬁsh for confusable liquid localization and recognition

With the rapid advancements in sensor technology, modern detection systems possess advanced detection capabilities. However, for detection of confusable liquid with similar colors or odors, traditional single-modal detection systems still struggle with poor classification performance. Here, we develop an innovative visual-olfactory bionic sensing system inspired by the signal fusion mechanism of the retinal-olfactory bulb circuit in zebrafish, and can instantly capture the spatial location, shape, color, odor characteristics and achieve accurate localization and discrimination of the measured seven commonly confusable liquids (water, copper sulfate solution, potassium permanganate solution, iron chloride solution, acetone, alcohol, and ammonium hydroxide). In a simulated production scenario, the visual-olfactory intelligent sensing system could not only accurately localize the measured liquids, but also guide the robot arm loaded with a gas sensor array and achieve high classification performance. Our developed visual-olfactory sensing system demonstrate a recognition accuracy of 97.4 % to 7 typical confusable liquids, surpassing olfactory-only and visual-only detection methods by 41.8 % and 24.7 %, respectively. The visual-olfactory bionic sensing system exhibited an outstanding tolerance to similar feature interference, highlighting its significant potential for robust confusable liquid recognition in automated production in the electronics industry.

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来源期刊

Sensors and Actuators B: Chemical 工程技术-电化学

CiteScore

14.60

自引率

11.90%

发文量

1776

审稿时长

3.2 months

期刊介绍： Sensors & Actuators, B: Chemical is an international journal focused on the research and development of chemical transducers. It covers chemical sensors and biosensors, chemical actuators, and analytical microsystems. The journal is interdisciplinary, aiming to publish original works showcasing substantial advancements beyond the current state of the art in these fields, with practical applicability to solving meaningful analytical problems. Review articles are accepted by invitation from an Editor of the journal.