Composable time-series observability in sensor data fusion
US10782655B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 16, 2018 |
| Grant date | Sep 22, 2020 |
| Priority date | — |
| Expiry date | Sep 12, 2038 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY04S40/20
- WIPO fieldElectrical machinery, apparatus, energy
- WIPO sectorElectrical engineering
Abstract
A sensor data fusion system includes a processor coupled to a plurality of sensors. The system is initialized by providing access to a data store storing at least one time series of sensor data; a semantic store storing semantic data including system variables, and relations between the system variables; and a mapping therebetween. A registration of a set of one or more variables of interest for which appropriate data is not available is obtained. An initially empty inference model is extended with the set of variables, to obtain an extended model. A request to observe a given one of the set of variables at a given timestamp is obtained. Responsive thereto, time series data for the set of registered variables is retrieved. The extended model is run with the retrieved data to obtain an estimate of the given one of the variables at the given timestamp.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.