Airport gas detection system and method based on hyperspectrum

A gas detection system and gas detection technology, which are applied in color/spectral characteristic measurement, neural learning method, biological neural network model, etc. The probability of omission of judgment, the effect of improving the calculation speed and improving the accuracy of the model

Inactive Publication Date: 2020-11-20
TIANJIN UNIV
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[0004] The existing remote measurement method for gas detection has the problems

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  • Airport gas detection system and method based on hyperspectrum

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[0023] In order to further understand the content, features and effects of the present invention, the following embodiments are listed, and detailed descriptions are as follows with accompanying drawings:

[0024] See figure 1 , A hyperspectral-based airport gas detection system, including a hyperspectral image data acquisition module, a data preprocessing module, and a spectrum analysis module; the hyperspectral image data acquisition module includes multiple single-band hyperspectral cameras with different shooting angles; The single-band hyperspectral camera is used to collect hyperspectral image data of airport gas in real time; the data preprocessing module is used to preprocess the collected airport gas hyperspectral image data; the spectral analysis module is used to preprocess the hyperspectral airport gas The image data is analyzed and processed, and there is a two-way cyclic neural network model. The two-way cyclic neural network model inputs the hyperspectral image dat...

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Abstract

The invention discloses an airport gas detection system based on hyperspectrum. The airport gas detection system comprises a hyperspectral image data acquisition module, a data preprocessing module and a spectral analysis module, wherein the hyperspectral image data acquisition module comprises a plurality of single-waveband hyperspectral cameras with different shooting angles; the single-wavebandhyperspectral camera is used for acquiring hyperspectral image data of airport gas in real time; the data preprocessing module is used for preprocessing the collected airport gas hyperspectral imagedata; and the spectral analysis module is used for analyzing and processing the preprocessed airport gas hyperspectral image data, a bidirectional recurrent neural network model is arranged in the spectral analysis module, and the bidirectional recurrent neural network model inputs the airport gas hyperspectral image data and outputs content information of target gas in an airport. The invention further discloses an airport gas detection method based on the hyperspectrum. Large-scale real-time detection can be carried out on gas in an airport area, and simultaneous measurement of various target gases is realized.

Description

technical field [0001] The invention relates to a gas detection system and method, in particular to a hyperspectral-based airport gas detection system and method. Background technique [0002] At present, as the world's civil aviation industry enters a new economic cycle, among various modes of transportation, the growth rate of civil aviation is very high, both in terms of passenger traffic and passenger turnover. However, with the significant increase in passenger throughput and cargo and mail throughput, the impact of airport gas on passengers, surrounding residents and the environment is increasing. Airport gas mainly contains nitrogen oxides (NOx) and sulfur oxides (SOx). Carbon oxides (COx), these gases are extremely harmful to human health, and nitrogen oxides (NOx) and hydrocarbons (HC) are also important pollutants that form photochemical smog. Therefore, the detection of airport gas is very important. [0003] At present, there are few studies on airport gas dete...

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Application Information

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IPC IPC(8): G01N21/25G06N3/04G06N3/08
CPCG01N21/25G06N3/08G06N3/045
Inventor 李奇峰黄晋楷马翔云杜建宾戴元林
Owner TIANJIN UNIV
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