Intelligent method for inhibiting gas-sensitive sensor decussation sensitivity

A cross-sensitivity and sensor technology, applied in the field of data analysis, can solve the problems of no suppression of cross-sensitivity, cross-sensitivity characteristics without cross-sensitivity suppression methods, etc., to improve gas detection precision and accuracy, increase suppression effect, improve precision and accuracy sexual effect

Inactive Publication Date: 2008-07-23
CHONGQING UNIV
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Problems solved by technology

[0003] In the prior art, there is a method for eliminating the cross-sensitivity effect of gas sensors by using the neural network method, but there is no cross-sensitivity suppression method under the condition of multi-gas sensors in the relevant gas sensor cross-sensitivity characteristics involved, and the research is on self-inhibition and cross-sensit

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  • Intelligent method for inhibiting gas-sensitive sensor decussation sensitivity
  • Intelligent method for inhibiting gas-sensitive sensor decussation sensitivity

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Embodiment Construction

[0017] This embodiment uses the present invention to analyze the content of dissolved gas in power transformer oil.

[0018] Fig. 1 is a principle diagram of the present invention, and Fig. 2 is a detection comparison diagram of the intelligent type and the MQ type sensor of the present invention, as shown in the figure: the mixed gas 1 includes H 2 、C 2 h 4 , CO, C 2 h 2 、CH 4 、C 2 h 6 , after being identified by the gas sensor 2, generate respective response waveforms, obtain and collect the sensor response waveforms, and perform wavelet processing 3 to obtain the characteristic spectra of the above six kinds of gas responses, and obtain the characteristic gas response amplitudes of the specific sensors. Preliminary Enter the input layer of the BP artificial neural network 4 after suppressing the response spectrum amplitude of the cross-sensitive gas, and obtain the content of a single gas by the BP artificial neural network 4; BP artificial neural network 4 uses the m...

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Abstract

The invention discloses an intelligent method for inhibiting cross sensitivity of gas sensor, which uses intrinsic gas characteristic spectrum amplitude as the input vector of neural network, calculates via an artificial neural network based on a neural network structure marked and trained via standard gas to further eliminate the cross sensitivity of gas sensor caused by laminated frequency to obtain single gas content and improve inhibit effect, thereby improving gas detection precision and accuracy. The invention uses wavelet analysis to input characteristic vector to the artificial neutral network and uses the localization ability of wavelet analysis in time and frequency domains, to analyze characteristic gas response waveform and cross sensitive gas response waveform, to further improving the inhibition effect and improving gas detection precision and accuracy.

Description

technical field [0001] The invention relates to a data analysis method, in particular to an intelligent method for suppressing cross-sensitivity of gas sensors. Background technique [0002] The dissolved gas content in transformer oil is an important parameter to reflect the internal insulation and operation status of the transformer. The online monitoring of dissolved gas in transformer oil is an important means to reflect the gas content in oil in real time and continuously. Semiconductor gas sensor can detect the content of gas and convert it into a specific voltage signal, which is an important way to detect gas content. At present, the technology of using semiconductor gas sensor to monitor the gas content in oil is very extensive. Although a specific semiconductor gas sensor mainly detects a specific single gas, the sensor has poor selectivity to gases and may respond to multiple gases. This non-single selectivity is determined by its sensitive mechanism. Use certai...

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Application Information

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IPC IPC(8): G01N27/12G06F19/00
Inventor 杜林陈伟根王有元廖瑞金李剑陈明英孙才新
Owner CHONGQING UNIV
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