基于dsp的傅里叶红外光谱浓度反演技术分析word格式论文.docxVIP

Research on Concentration From Fourier Transform Infrared Spectroscopy Inversion Technology Based on DSPAbstractNowadays, with the human production and living there’s unavoidable discharge of pollutants to the atmosphere causing air pollution that has brought great harm to humans, animals and plants, destruction of the ecological balance. Therefore, the monitoring of pollutants has guiding significance on the protection of the environment.Gas concentration detection Based on fourier transform infrared spectroscopy (FTIR) is with the measurement of the gas spectral information as the basis for quantitative analysis. In spite of great quantity of algorithms for gas concentration detection, regardless of the choicesalgorithm, it must be carried on computer. Due to the limitations of the platform，the measuredspectral information has to be read to computer before the concentration analysis, therefore FTIR gas concentration detection system has poor performance in real time aspect. To solve the problem, it’s required to integrate concentration analysis algorithm into embedded chip in order to achieve the miniaturization of the gas concentration detection system integration.Taking the development and application of Fourier transform infrared spectroscopy technology as a starting point, this paper analyzed the research status using FTIR spectroscopy data for qualitative and quantitative at home and abroad. Proposed first constructed BP neural network that can be used for concentration inversion on MATLAB, then make the network transplanted into the DSP. Build the infrared data the spectral acquisition systems, with the background of air, the precision control of the mass flow controller is in order to build the samples of different concentrations of CO, take the different concentration of the sample as the basis for modeling, as the concentration of inversion model training set. The main research content of this paper is to transplant the inversion algorithms of concentrati