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Method for identifying gas based on compressed sensing theory

A technology of gas identification and compressed sensing, which is applied to electrical components, instruments, measuring devices, etc., can solve the problems of large amount of stored data, qualitative identification with small amount of data, and inaccurate identification, so as to improve accuracy, real-time performance and accuracy performance, improving data storage capacity and bandwidth utilization

Inactive Publication Date: 2013-10-09
INST OF MICROELECTRONICS CHINESE ACAD OF SCI
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Problems solved by technology

[0007] In order to overcome the deficiencies of the above-mentioned prior art, the present invention provides a gas recognition method based on compressed sensing theory to solve the problems of large transmission and storage data and inaccurate recognition in current gas detection, and achieve The purpose of precise identification

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  • Method for identifying gas based on compressed sensing theory
  • Method for identifying gas based on compressed sensing theory
  • Method for identifying gas based on compressed sensing theory

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Embodiment Construction

[0026] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0027] The gas recognition method based on the compressed sensing theory provided by the present invention applies the compressed sensing technology to the transmission process of the array signal in the sensor network, and uses the BP neural network to train the recognition, and transfers the computational complexity from the online detection to the offline network training, thereby The real-time and accuracy of online detection of the detection system can be greatly improved.

[0028] Such as figure 1 as shown, figure 1 It is the flow chart of the gas identification method based on compressed sensing theory provided by the present invention. The method first collects the compressed data by means of under-sampling, reco...

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Abstract

The invention discloses a method for identifying gas based on the compressed sensing theory. The method includes the steps that compressed data are collected in an undersampled mode; the collected compressed data are reconstructed to acquire reconstructed data; the reconstructed data are utilized to train a back-propagation neural network, and the trained back-propagation neural network is stored; data to be detected are input to the trained back-propagation neural network, and the trained back-propagation neural network identifies the data to be detected to achieve qualitative identification of the gas. By the adoption of the method for identifying gas based on the compressed sensing theory, the problems that a gas detecting method in the prior art is large in transmission and storage data amount and inaccurate in identification are solved, and the goal of achieving accurate qualitative identification through small data amount is achieved.

Description

technical field [0001] The invention relates to the technical field of sensor array signal processing, in particular to a gas identification method based on compressed sensing theory. Background technique [0002] Due to the ubiquitous cross-sensitivity of the gas sensor, its output signal is affected by factors such as temperature, humidity, and environmental conditions, and its stability and selectivity are poor, so its application is limited to occasions with low detection accuracy or simple gas components. Such as harmful gas leakage alarm, etc. The traditional solution is to eliminate the above-mentioned adverse effects by finding new sensitive materials, device structures and compensation circuits. However, this solution not only complicates the device structure, but also increases the manufacturing cost of the device. [0003] Compressed sensing theory is a brand-new signal acquisition, encoding and decoding theory that has emerged in recent years to make full use of...

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Application Information

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IPC IPC(8): H03M7/30G01N33/00
Inventor 李冬梅张浩梁圣法罗庆李小静谢常青刘明
Owner INST OF MICROELECTRONICS CHINESE ACAD OF SCI
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