Abstract: The present invention relates to a non-direct measurement temperature-compensating model correction method in the on-line application of a near-infrared spectrum analyzer, which comprises: acquiring a near-infrared spectrum of each sample under different temperature levels; respectively carrying out preprocessing and principal component analysis on the acquired spectra for temperatures and to-be-measured physical property parameters; then merging the obtained spectra to generate new spectral data; using partial least squares to model the spectral data to obtain measured values at the current moment; finally, constructing an on-line recursive algorithm, and thereby on-line near-infrared measurement with a non-direct measurement temperature compensation function is fulfilled.

Abstract: The present invention relates to a non-direct measurement temperature-compensating model correction method in the on-line application of a near-infrared spectrum analyzer, which comprises: acquiring a near-infrared spectrum of each sample under different temperature levels; respectively carrying out preprocessing and principal component analysis on the acquired spectra for temperatures and to-be-measured physical property parameters: then merging the obtained spectra to generate new spectral data: using partial least squares to model the spectral data to obtain measured values at the current moment; finally, constructing an on-line recursive algorithm, and thereby on-line near-infrared measurement with a non-direct measurement temperature compensation function is fulfilled.