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• In this study, a visualized light intensity distribution image is constructed by multi-dimensional spectroscopy fusion method, which extends the wavelength dimension of the model, reduces the data volume of the model, and further improves the prediction accuracy of the model. • The multi-dimensional spectroscopy fusion method of the wedge-shaped sample pool can accurately obtain the component content of the measured complex solution and realize the on-line, non-destructive and rapid detection of the complex solution. In order to improve the accuracy of the detection of complex solution components in wedge-shaped sample pool, this paper obtained multi-dimensional spectroscopy (MDS) of multi-path non-linear features including samples by multi-position and multi-wavelength detection methods. And this research constructed a visualized light intensity distribution image by multi-dimensional spectroscopy fusion (MDSF) method. The detection of 46 samples of India Ink and Intralipd-20% mixed phantoms was carried out, and the visualized light intensity distribution image was analyzed and trained by partial least squares (PLS) method, and compared to training method that the raw data without the MDSF (Non-MDSF). In this study, the multi-dimensional spectral fusion modeling method is used to increase the correlation coefficient of the model by 1.29%, and the mean square error is reduced by 3.07%. The results show that the use of MDSF method to analyze the composition of complex solutions, the composition of the solution with scattering characteristics is fast and accurate, which is of great significance for the field of complex solution detection and analysis. [ABSTRACT FROM AUTHOR]