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1. US20090089231 - Adaptive industrial systems via embedded historian data

Office United States of America
Application Number 11862861
Application Date 27.09.2007
Publication Number 20090089231
Publication Date 02.04.2009
Grant Number 07962440
Grant Date 14.06.2011
Publication Kind B2
IPC
G06F 15/00
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
FELECTRIC DIGITAL DATA PROCESSING
15Digital computers in general; Data processing equipment in general
G06F 15/18
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
FELECTRIC DIGITAL DATA PROCESSING
15Digital computers in general; Data processing equipment in general
18in which a program is changed according to experience gained by the computer itself during a complete run; Learning machines
G05B 13/02
GPHYSICS
05CONTROLLING; REGULATING
BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
13Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
02electric
G06F 3/048
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
FELECTRIC DIGITAL DATA PROCESSING
3Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
01Input arrangements or combined input and output arrangements for interaction between user and computer
048Interaction techniques based on graphical user interfaces
Applicants Rockwell Automation Technologies, Inc.
Inventors Baier John J.
Jasper Taryl J.
Campbell John T.
McGreevy Robert J.
Palmieri, Jr. Frank Anthony
Herbst Robert J.
Agents Turocy & Watson LLP
Walbrun William R.
Miller John M.
Title
(EN) Adaptive industrial systems via embedded historian data
Abstract
(EN)

Systems and methods that provide for adaptive processes in an industrial setting. Historian data, in conjunction with current collected data, can be converted into decision making information that is subsequently employed for modifying a process in real time. A process trend component, which is associated with a controller, can access historian data (e.g., trends collected via historians) to determine/predict an outcome of a current industrial process. Such enables a tight control and short reaction time to correcting process parameters.