The ability to accurately express and compute the absorption spectrum is critically important for measuring the composition and concentration of substances. In this study, we present a method that reconstructs the original spectra into new spectra with linear features based on absorption intensity to improve the analysis of spectral data. The transformation matrix and mapping relationship are calculated based on the absorption intensity of the spectral data. This allows for the reconstruction of the original spectrum with complex features into a new spectrum with linear characteristics. Furthermore, interference caused by other components and offsets can be eliminated by fitting the new spectrum with a function as the new spectrum has relatively simple features. The approach presented herein can enhance measurement accuracy and improve anti-interference capabilities. The validity and effectiveness of the new spectral reconstruction method are evaluated by measuring SO using ultraviolet absorption spectroscopy technology.
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