Soft measurement method based on near infrared spectroscopy

Abstract

The invention relates to a soft measurement method based on near infrared spectroscopy, and especially relates to a soft measurement method, based on near infrared spectroscopy, for relative density in a compound donkey-hide gelatin pulp medicinal material extract concentration process. According to the invention, a sample set is formed by production process samples and samples prepared in a laboratory; near infrared spectra of the sample set are collected; abnormal samples are rejected; characteristic spectral information of concentrated liquid is extracted by selecting appropriate spectral modeling bands and pre-processing methods; a relative density of the concentrated liquid determined by a pycnometer method is used as a reference value; a quantitative correction model of the relation between the concentrated liquid near infrared spectra and the relative densities is established by a partial least squares regression method; the near infrared spectrum of a sample to be determined is collected; and the relative density of the sample is obtained by using the established model. The invention provides a rapid and precise density soft measurement method which facilitates the improvement of the quality control level of the production process.

Description

technical field [0001] The invention relates to a near-infrared spectrum-based soft measurement method, in particular to a near-infrared spectrum-based soft measurement method for the relative density of a compound donkey-hide gelatin pulp medicine extract concentration process, and belongs to the technical field of traditional Chinese medicine production. Background technique [0002] Soft sensor technology is a new technology that has emerged in the field of process control and detection in recent years. It mainly uses the idea of ​​indirect measurement to select other variables that are easy to measure for important variables that are difficult to measure or cannot be measured temporarily. Some mathematical relationship to infer or estimate. The application of soft sensor technology to achieve on-line detection of component content is not only economical and reliable, but also has a rapid dynamic response and is easy to achieve real-time control of product quality. [00...

AI Technical Summary

Problems solved by technology

The conventional relative density detection in current production mainly adopts the pycnometer method. This method needs to take out the sample and place it in a constant temperature water bath at 20°C until the sample is cooled to room temperature before accurately weighing the measurement. The operation process is cumbersome and time-consuming, and cannot meet the process analysis. Fast and easy conditions, difficult to use in real-time online analysis of traditional Chinese medicine production process

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