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Method and system for calculating integral absorbance of non-uniform flow field

A non-uniform flow, computational method technology, applied in neural learning methods, design optimization/simulation, biological neural network models, etc., can solve problems such as low efficiency and long solution time, and achieve simple execution, short time consumption, and good performance. The effect of generalization

Pending Publication Date: 2021-09-24
PLA PEOPLES LIBERATION ARMY OF CHINA STRATEGIC SUPPORT FORCE AEROSPACE ENG UNIV
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Problems solved by technology

[0004] The purpose of the present invention is to overcome the data processing of measuring rings with dozens or even hundreds of rays in the prior art, which takes a long time to solve and low efficiency, and cannot provide effective data support for two-dimensional reconstruction In order to realize the fast measurement of the integrated absorbance in the wavelength modulation spectrum and the rapid and effective realization of the two-dimensional reconstruction of the combustion flow field

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  • Method and system for calculating integral absorbance of non-uniform flow field
  • Method and system for calculating integral absorbance of non-uniform flow field
  • Method and system for calculating integral absorbance of non-uniform flow field

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Embodiment 1

[0118] Embodiment 1: flow field parameters T, χ, P, the value range is: temperature T is 500~1300K, concentration χ is 0.02~0.15, pressure P is 1, and light distribution is as follows image 3 As shown, select the center frequency ν as 7185.445cm- 1 spectrum.

[0119] First, 2000 double-Gaussian flow field models with different distributions are randomly generated, and the integrated absorbance and second harmonic signal of the spectrum under the 2000 different flow field models are calculated, that is, 2000 sets of data sets, which are used as model training data, among which the harmonic The wave signal is used as the input of the network, and the integrated absorbance is used as the label of the training data, which is output by the network. Randomly select 1950 sets of training sets from the training set to train the neural network model, and the remaining 50 sets of data are used to verify the trained model. The verification results are as follows: Figure 4 As shown, t...

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Abstract

The invention discloses a method and a system for calculating the integral absorbance of a non-uniform flow field. The method comprises the following steps: step 1, acquiring a first integral absorbance and a first harmonic signal of an absorption spectrum generated by a simulation system under fixed light and different flow field models; step 2, determining a single hidden layer feedforward neural network, selecting an extreme learning machine algorithm, and constructing a regression model of integral absorbance and harmonic signals; step 3, determining a second harmonic signal of an absorption spectrum line when the simulation non-uniform flow field is measured by using the absorption spectrum method; and 4, inputting a second harmonic signal, and solving the second integral absorbance of the measured non-uniform flow field by using the regression model.

Description

technical field [0001] The application relates to a method and system for calculating the integral absorbance of a non-uniform flow field, and belongs to the technical field of two-dimensional reconstruction of a combustion field. Background technique [0002] Chinese invention patent application CN112255186A discloses a method and system for calculating the integral absorbance of a non-uniform flow field. The method includes step 1. Obtaining the first harmonic signal of the absorption line when the actual non-uniform flow field is measured by absorption spectroscopy Step 2, determine the second harmonic signal of the absorption spectrum line in the simulation system utilizing absorption spectroscopy to measure the simulated flow field, wherein the simulated flow field is a non-uniform flow field that utilizes the initial parameters set up; Step 3, calculate The deviation of the first harmonic signal and the second harmonic signal is combined with the deviation to determine...

Claims

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Application Information

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IPC IPC(8): G06F30/27G06N3/04G06N3/08
CPCG06F30/27G06N3/08G06N3/044Y02T90/00
Inventor 宋俊玲饶伟姜雅晶冯高平王殿恺
Owner PLA PEOPLES LIBERATION ARMY OF CHINA STRATEGIC SUPPORT FORCE AEROSPACE ENG UNIV