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Gas detection gas chamber and laser spectrum gas detection system and method based on artificial neural network

An artificial neural network and gas detection technology, applied in neural learning methods, biological neural network models, color/spectral characteristic measurement, etc., can solve the problem of backward research level, inability to effectively decouple spectral line aliasing, and failure to achieve high precision Identification and other issues

Pending Publication Date: 2021-09-07
SHANDONG UNIV
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Problems solved by technology

However, the overall domestic research level is relatively backward, focusing on tracking and expanding foreign related research, especially in the application of optical frequency comb gas detection.
[0005] So far, although optical frequency comb technology can effectively improve the accuracy of trace gas detection, it cannot effectively decouple spectral line aliasing by using this technology alone, resulting in the failure to achieve high-precision identification of various components in multi-component gases , has become an urgent scientific problem to be solved in optical frequency comb technology

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  • Gas detection gas chamber and laser spectrum gas detection system and method based on artificial neural network
  • Gas detection gas chamber and laser spectrum gas detection system and method based on artificial neural network
  • Gas detection gas chamber and laser spectrum gas detection system and method based on artificial neural network

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Embodiment Construction

[0038]In order to facilitate the understanding of the present invention, the present invention will be described in more detail below in conjunction with the accompanying drawings and specific embodiments. Preferred embodiments of the invention are shown in the accompanying drawings. However, the present invention can be implemented in many different forms and is not limited to the embodiments described in this specification. On the contrary, these embodiments are provided to make the understanding of the disclosure of the present invention more thorough and comprehensive.

[0039] In order to solve the problems existing in gas detection in the prior art, this embodiment provides a laser spectrum gas detection system based on artificial neural network, such as figure 1 As shown, the system mainly includes: laser controller 1, optical frequency comb 2, gas chamber 3, photodetector 4, modem 5, data acquisition card 6, embedded artificial neural network algorithm and gas-related...

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Abstract

The invention belongs to the technical field of gas detection, and relates to a gas detection gas chamber, system and method. The gas detection gas chamber is characterized in that two ends of the gas chamber are respectively provided with reflectors with opposite mirror surfaces, and the reflectors are spherical mirrors with the curvature radius of 500mm. The spherical mirrors with the curvature radius of 500 mm are installed at the two ends of the gas chamber, the spherical mirrors form an array through a plurality of small spherical mirrors, incident light beams can be reflected for multiple times in the gas chamber, the effective optical path is increased, and due to the fact that trace gas is low in concentration and weak in absorption, the absorption degree of the gas to the incident light is effectively increased. According to the method, after the trace gas components are determined by adopting a neural network model, the concentration of the specific gas is calculated, and finally the trace gas components and the concentration are obtained. The gas detection gas chamber, system and method have the advantages of high nonlinear mapping capability, high training speed and the like.

Description

technical field [0001] The invention belongs to the technical field of gas detection, and relates to a gas detection gas chamber, a system and a method. Background technique [0002] Rapid, high-precision identification and quantitative detection of trace components in gas mixtures are in great demand in many fields. Exhaust gas emitted in industrial production will pollute the air environment, cause the greenhouse effect and harm the human respiratory system; toxic or flammable and explosive gases generated in the production process, if discharged or leaked randomly, will cause great social safety hazards. In addition, in the medical diagnosis of chronic malignant diseases, conventional diagnostic methods have a long cycle and great harm, but by detecting the patient's respiratory gas markers, the purpose of diagnosis can be achieved quickly, effectively and non-invasively. Therefore, the detection of trace gas composition and concentration is of great significance to the ...

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Application Information

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IPC IPC(8): G01N21/39G01N21/25G06N3/04G06N3/08
CPCG01N21/39G01N21/255G06N3/084G01N2201/06113G01N2201/0636G01N2201/0668G06N3/045
Inventor 张飒飒田遴博夏金宝陈天弟
Owner SHANDONG UNIV
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