HYBRID ANALYZER FOR FLUID PROCESSING PROCESSES

摘要

A combined dataset is provided including (i) online process measurement data (OPMD), calculated process data derived from the OPMD or inline property data for liquid component(s) provided to the process from laboratory test results or an online analyzer (process measurement data), (ii) spectra data from online spectral analyzing a liquid product or offline spectra data from liquid product samples, and (iii) laboratory property data (LPD) of ≧1 product property from the product samples. When the spectra data is online data the dataset includes the OPMD and the online spectra data is coincidentally collected with product samples for the LPD. When the spectra data is offline spectra data the OPMD is coincidentally collected with the product samples for the LPD and for the offline spectra data. Using a Multivariate Data Analysis algorithm, a hybrid mathematical analyzer model is generated from the dataset which predicts the product property(ies) from (i) and (ii).

主权项

1. A method of generating models for a fluid processing process (fluid process), comprising:
providing a combined dataset (dataset) including (i) at least one of online process measurement data (OPMD) from instrument readings, calculated process data derived from said OPMD, and inline property data for at least one liquid component provided to said fluid process obtained from laboratory test results or from an online analyzer (process measurement data), (ii) spectra data being online spectra data obtained from online spectral analyzing a liquid product of said fluid process or offline spectra data from samples of said liquid product (liquid product samples), and (iii) laboratory property data (LPD) of at least one product property from said liquid product samples, when said spectra data is said online spectra data said dataset including said OPMD and said online spectra data coincidentally collected with said liquid product samples for said LPD at a plurality of different instants in time, and when said spectra data is said offline spectra data said OPMD is coincidentally collected with said liquid product samples for said LPD and for said offline spectra data at said plurality of different instants in time, and using a computing device having an associated memory implementing a Multivariate Data Analysis (MDA) algorithm, generating a hybrid mathematical analyzer model (hybrid analyzer model) from said dataset which predicts said product property from said (i) and said (ii).