Field operations system with filter
US12078048B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 28, 2023 |
| Grant date | Sep 3, 2024 |
| Priority date | — |
| Expiry date | Apr 28, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T13/80
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system and method that can include training a deep neural network using time series data that represents functions of a non-linear Kalman filter that represents a dynamic system of equipment and environment and models a pre-defined operational procedure as a temporal sequence. The system and method can also include receiving operation data from the equipment responsive to operation in the environment and outputting an actual operation as an actual sequence of operational actions by the deep neural network. The system and method can additionally include performing an operation-level comparison to evaluate the temporal sequence against the actual sequence using a distance function in a latent space of the deep neural network and outputting a score function that quantifies the distance function in the latent space. The system and method can further include controlling an electronic component to execute an electronic operation based on the score function.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.