Real-time industrial plant production prediction and operation optimization
US11264121B2 · kind B2 · utility
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3References
18Claims
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Key dates
| Filing date | Aug 23, 2016 |
| Grant date | Mar 1, 2022 |
| Priority date | — |
| Expiry date | Dec 28, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16C20/90
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Direct measurement and simulation of real-time production rates of chemical products in complex chemical plants is complex. A predictive model developed based on machine learning algorithms using historical sensor data and production data provides accurate real-time prediction of production rates of chemical products in chemical plants. An optimization model based on machine learning algorithms using clustered historical sensor data and production data provides optimal values for controllable parameters for production maximization.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.