Mixed gas identification method based on convolutional neural network

A convolutional neural network and mixed gas technology, which is applied in the field of time series classification of data collected by sensors, can solve problems such as the inability to directly classify mixed gas data, and achieve the effect of high speed and high accuracy.
CN110309867AActive Publication Date: 2019-10-08BEIJING TECHNOLOGY AND BUSINESS UNIVERSITY +1
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Patent Information

Authority / Receiving Office
CN ยท China
Current Assignee / Owner
BEIJING TECHNOLOGY AND BUSINESS UNIVERSITY
Publication Date
2019-10-08

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Abstract

The invention discloses a mixed gas recognition method based on a convolutional neural network, and the method comprises the steps of mapping the original gas time sequence data obtained through a sensor into a similar image matrix in different modes, and carrying out the feature extraction and classification through a convolutional neural network model CNN, thereby achieving the classification ofthe mixed gas. The method is based on the classification advantages of the convolutional neural network, is applied to the classification field of the mixed gas of the time sequence, extracts more comprehensive features of the matrix data by using the convolution operation of the CNN, is high in speed, and also can obtain the higher accuracy. According to the method, the problem that in an existing mixed gas classification technology, due to the limitation of the input data, the VGG, Google-Net and other CNN networks for the image classification cannot be directly applied to classify the mixed gas data, can be solved.
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Description

technical field

[0001] The invention relates to a mixed gas type identification technology, in particular to a mixed gas identification method based on a convolutional neural network, and belongs to the technical field of time series classification of data collected by sensors. Background technique

[0002] MOX (metal oxide) gas sensor is a gas sensor using metal oxide gas sensor as a sensitive element. It has the advantages of small size, fast response speed, low cost and long service life, so it is widely used in toxic gas , flammable and explosive gases, industrial waste gas and other gas detection fields. The MOX gas sensor reacts with the gas to be measured physically and chemically, causing a change in resistance, and converting information related to gas type, concentration, etc. into a single signal output. The gas sensor reacts differently in different single gases, resulting in different sensor response values. Therefore, the time series data collected by the MOX...

Claims

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