A study on the measurement method of a two-component fluid proportion infrared spectrum based on HDC-PSAM

When traditional infrared spectroscopy technology is used for the measurement and quantitative analysis of fluid, due to the complex band composition of the infrared spectrum, weak absorption intensity and spectral signal, the measurement can easily be disturbed, thus increasing the error. This makes it difficult to achieve the requirements for the accurate analysis of fluids. To solve this problem, this paper uses self-developed experimental apparatus and, using water-based drilling fluid and diesel oil, proposes a new method for quantitative research of two-component proportional fluids based on hybrid dilated convolution-pyramid self-attention modules (HDC-PSAMs). A large number of experiments are carried out on water-based drilling fluids, diesel and water mixtures, and a large number of spectral experimental data are preprocessed using moving window smoothing and normalization methods. HDC and PSAMs are used to extract effective features, and are combined with a partial least squares algorithm to model fluid mixtures to achieve quantification of the fluid mixtures. The experimental results show that this method can reduce the influence of disturbance during measurement, has higher accuracy and stability, and effectively improves the measurement accuracy of infrared spectroscopy for quantitative analysis of fluids. This method also provides strong technical support for the analysis of other fluids and the measurement of fluid mixtures using infrared spectroscopy technology.