Anomaly detection of physical assets by auto-creating anomaly detection or prediction models based on data from a knowledge graph of an enterprise
US11769098B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 18, 2021 |
| Grant date | Sep 26, 2023 |
| Priority date | — |
| Expiry date | Dec 4, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q10/0635
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Data from a knowledge graph associated with an enterprise may be obtained. The knowledge graph may include a plurality of node descriptors that indicate locations, assets, and sensor data feeds of the enterprise, and a plurality of relationship descriptors that indicate relationships amongst the locations, the assets, and the sensor data feeds of the enterprise. An anomaly detection or prediction model associated with a selected one of the plurality of node descriptors may be auto-created based on the data from the knowledge graph. In the auto-creation, one of a plurality of model types for the anomaly detection or prediction model may be selected based on an identified node type of the selected node descriptor.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.