Dynamic monitoring and securing of factory processes, equipment and automated systems
US11063965B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 4, 2020 |
| Grant date | Jul 13, 2021 |
| Priority date | — |
| Expiry date | Feb 4, 2040 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02P90/02
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system including a deep learning processor obtains response data of at least two data types from a set of process stations performing operations as part of a manufacturing process. The system analyzes factory operation and control data to generate expected behavioral pattern data. Further, the system uses the response data to generate actual behavior pattern data for the process stations. Based on an analysis of the actual behavior pattern data in relation to the expected behavioral pattern data, the system determines whether anomalous activity has occurred as a result of the manufacturing process. If it is determined that anomalous activity has occurred, the system provides an indication of this anomalous activity.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.