Computer system and method for building and deploying predictive inferential models online to predict behavior of industrial processes
US10698372B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 1, 2018 |
| Grant date | Jun 30, 2020 |
| Priority date | — |
| Expiry date | Sep 19, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q10/06393
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments are directed to systems that build and deploy inferential models for generating predictions of a plant process. The systems select input variables and an output variable for the plant process. The systems load continuous measurements for the selected input variables. For the selected output variable, the systems load measurements of type: continuous from the subject plant process, intermittent from an online analyzer, or intermittent from lab data. If continuous or analyzer measurements are loaded, the systems build a FIR model with a subspace ID technique using continuous output measurements. From intermittent analyzer measurements, the systems generate continuous output measurements using interpolation. If lab data is loaded, the systems build a hybrid FIR model with subspace ID and PLS techniques, using continuous measurements of a reference variable correlated to the selected output variable. The systems deploy the built model to generate continuous key performance indicators for predicting the plant process.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.