Invention Grant
- Patent Title: Distributed big data in a process control system
-
Application No.: US14212493Application Date: 2014-03-14
-
Publication No.: US10311015B2Publication Date: 2019-06-04
- Inventor: Mark J. Nixon , Paul Richard Muston , Terrence L. Blevins , Wilhelm K. Wojsznis
- Applicant: FISHER-ROSEMOUNT SYSTEMS, INC.
- Applicant Address: US TX Round Rock
- Assignee: FISHER-ROSEMOUNT SYSTEMS, INC.
- Current Assignee: FISHER-ROSEMOUNT SYSTEMS, INC.
- Current Assignee Address: US TX Round Rock
- Agency: Marshall, Gerstein & Borun LLP
- Main IPC: G06F15/17
- IPC: G06F15/17 ; G05B19/41 ; G06F15/173 ; G05B19/418 ; G05B13/02 ; G06F9/54

Abstract:
A distributed big data device in a process plant includes an embedded big data appliance configured to locally stream and store, as big data, data that is generated, received, or observed by the device, and to perform one or more learning analyzes on at least a portion of the stored data. The embedded big data appliance generates or creates learned knowledge based on a result of the learning analysis, which the device may use to modify its operation to control a process in real-time in the process plant, and/or which the device may transmit to other devices in the process plant. The distributed big data device may be a field device, a controller, an input/output device, or other process plant device, and may utilize learned knowledge created by other devices when performing its learning analysis.
Public/Granted literature
- US20140277604A1 DISTRIBUTED BIG DATA IN A PROCESS CONTROL SYSTEM Public/Granted day:2014-09-18
Information query