Patent · US Active

Validation of operating plans and schedules using machine learning

US11995127B2 · kind B2 · utility

0Cited by
3References
18Claims
0Family size

Assignee

Inventors

Key dates

Filing dateMay 8, 2019
Grant dateMay 28, 2024
Priority date
Expiry dateNov 7, 2040

Classification

  • Technology area (CPC G)Physics
  • CPC primaryG06N20/00
  • WIPO fieldComputer technology
  • WIPO sectorElectrical engineering

Abstract

Disclosed are methods and systems that help identify critical variables for more efficient and robust plan validation process. An example embodiment is a computer implemented method of industrial process control. The example method includes receiving in computer memory a dataset including initial process parameters representing operational data of a subject industrial process, and, using filtering operations and grouping operations on the dataset, identifying a subset of the process parameters indicative of control data for controlling the subject industrial process. The example method further includes automatically applying the identified subset of process parameters controlling the subject industrial process.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.