Self-learning simulation environments
US10101244B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 2, 2015 |
| Grant date | Oct 16, 2018 |
| Priority date | — |
| Expiry date | Apr 7, 2036 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L69/00
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Systems and methods may include receiving data of a physical system. The systems and methods may include determining whether an anomalous event has occurred based on the data. The systems and methods may include, in response to determining that the anomalous event has occurred, capturing data of the physical system and of an environment. The systems and methods may include generating a virtual representation of the physical system and the environment based on the captured data. The systems and methods may include repeatedly simulating data of the virtual representation by varying parameters of the captured data. The systems and methods may include determining which parameters are a root cause of the anomalous event based on the simulated performance data. The systems and methods may include determining particular values of the parameters that are likely the root cause of the anomalous event to use as a trigger for a proactive process.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.