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Micro Gas Sensor Array With Neural Network for Recognizing Combustible Leakage Gases

机译:带有神经网络的微型气体传感器阵列,用于识别可燃气体泄漏气体

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摘要

A micro gas sensor array, consisting of four porous tin oxide thin films added with noble metal catalysts on a micro-hotplate, was designed and fabricated. The micro-hotplate was designed to obtain a uniform thermal distribution along with a low-power consumption and fast thermal response. The sensing properties of the sensors toward certain combustible gases, i.e., propane, butane, LPG, and carbon monoxide, were evaluated. A multilayer neural network was then used to classify the gas species. The results demonstrated that the proposed micro sensor array, plus multilayer neural network employing a backpropagation learning algorithm, was very effective in recognizing specific kinds and concentration levels of combustible gas below their respective threshold limit values.
机译:设计并制造了一种微气体传感器阵列,该阵列由四个多孔氧化锡薄膜以及在微热板上添加的贵金属催化剂组成。微型热板的设计旨在获得均匀的热分布以及低功耗和快速的热响应。评估了传感器对某些可燃气体(丙烷,丁烷,LPG和一氧化碳)的传感特性。然后使用多层神经网络对气体种类进行分类。结果表明,提出的微传感器阵列,加上采用反向传播学习算法的多层神经网络,在识别特定种类和浓度低于其各自阈值的可燃气体方面非常有效。

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