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An olfactory intelligent identification method for gas

A technology of intelligent recognition and gas, applied in neural learning methods, character and pattern recognition, instruments, etc., can solve problems such as limited concentration, cross-sensitivity of gas sensors, etc.

Active Publication Date: 2022-07-01
CHINA UNIV OF PETROLEUM (EAST CHINA)
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Problems solved by technology

However, relying solely on gas sensor technology is limited by the concentration of the gas or odor to be measured
Moreover, due to the common problem of cross-sensitivity of gas sensors, it is difficult for a single sensor to accurately identify and quantitatively detect mixed gases in the environment.

Method used

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  • An olfactory intelligent identification method for gas
  • An olfactory intelligent identification method for gas
  • An olfactory intelligent identification method for gas

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Embodiment Construction

[0067] The present invention will be described in further detail below.

[0068] see Figure 1-Figure 5 , an olfactory intelligent identification method for gas, comprising the following steps:

[0069] S100: Collect P kinds of known gases, and construct an odor data sample library. The samples in the data sample library are sensor response data and real labels of known gases. The construction process of the odor data sample library is as follows:

[0070] Let the time period be T, and take a data value at the same time interval in this period of time T, and extract t data values ​​in total. When the period of time T ends, each sensor will collect t data values.

[0071] For the p-th known gas, use the j-th gas sensor pair to detect the known gas, and send the signal detected by the j-th sensor out of the amplifier circuit to obtain the j-th voltage signal value. For the i-th known gas, at time In the segment T, t voltage signal values ​​are obtained.

[0072] For the jth s...

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Abstract

The invention relates to an olfactory intelligent identification method for gas. First, P kinds of known gases are collected, an odor data sample library is constructed, then a gas intelligent identification model is constructed and the data in the odor data sample library is used for training, and finally the detection is to be performed. The gas performs signal feature extraction and constructs a feature vector X, input X into the trained gas intelligent recognition model, and outputs the predicted gas type label of the gas to be detected. The invention uses the neural network as the basis to build a gas intelligent identification model, and simultaneously sets the weight with additional momentum factor, the threshold with additional momentum factor and the adaptive learning rate to influence the training process, and finally obtains intelligent and reliable gas identification. change.

Description

technical field [0001] The invention relates to the field of computer olfaction, in particular to an olfactory intelligent identification method for gas. Background technique [0002] At present, the intelligent identification of gases is very important in various fields such as industry, agriculture, and commerce, including the identification of toxic, harmful, flammable and explosive gases in the fields of petrochemical and coal mine gas, and the identification of different varieties of liquor, wine, coffee, etc. in the field of consumer goods. . Gas identification or odor identification has always been a thorny problem in all walks of life. Different from color recognition based on the wavelength of light, it is difficult for a gas or odor to capture obvious physical and chemical characteristics similar to the wavelength of light, and it is difficult to identify different odors only based on the specific molecular characteristics of the gas. At present, the identificati...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V10/764G06K9/62G06N3/04G06N3/08G06V10/80
CPCG06N3/04G06N3/08G06F18/241G06F18/253
Inventor 王宇赫余梦琪毛强强刘帅辰
Owner CHINA UNIV OF PETROLEUM (EAST CHINA)
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