A near-infrared model maintenance method

Abstract

This invention discloses a near-infrared model maintenance method, comprising: acquiring the pure spectral signals of each modeling sample of the near-infrared model to be maintained and the pure spectral signals of each test sample in the test sample set; performing principal component analysis on the pure spectral signals of each modeling sample to determine the principal component score and principal component model of each modeling sample; projecting the pure spectral signals of each test sample onto the principal component model to obtain the feature score of each test sample; determining each maintenance sample based on the principal component score and the feature score of each test sample in the test sample set; and updating the near-infrared model to be maintained based on each maintenance sample. This method can achieve rapid and accurate correction of the original model, not only expanding the coverage of its sample spectral principal component space but also expanding the applicability of the model, thereby making the model more adaptable to the prediction of new samples, and the prediction ability of the corrected model is greatly improved.

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