Vessel stability control system using machine learning to optimize resource usage
US11492084B2 · kind B2 · utility
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12Claims
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Key dates
| Filing date | Jul 6, 2021 |
| Grant date | Nov 8, 2022 |
| Priority date | — |
| Expiry date | Jul 6, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG05D2111/52
- WIPO fieldTransport
- WIPO sectorMechanical engineering
Abstract
A stability controller includes a machine learning engine that outputs stabilizer settings to several on-board stabilizer systems of a vessel based on various inputs. The machine learning engine is first trained based on human selections of stabilizer system settings, and then, once suitably trained, the stability controller can be used to optimize the use and operation of the stabilizer systems as conditions change, based on a quantity or stability quality that the vessel operator desires to optimize.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.