Pavilion Technologies, Inc.

Joshua Brennan Ellinger

Devendra B Godbole

Steven A O'Hara

James David Keeler

Eric J Hartman

Jill L Kempf

Audrey Strauss

R Bruce Ferguson, Ii

Jitendra W Telang

Steve Piche

John Krauskop

Laura Arbila

Mary Anne Harding

A method for determining an output value having a known relationship to an input value with a predicted value includes the step of first training a predictive model with at least one output for a given set of inputs that exist in a finite dataset. Data is then input to the predictive model that is within the set of given inputs. Thereafter, a prediction is made of an output from the predictive model that corresponds to the given input such that a predicted output value will be obtained which will have associated therewith the errors of the predictive model.

Automated method for building a model

A method for building a model of a system includes first extracting data from a historical database (,). Once the data is extracted, a dataset is then created, which dataset involves the steps of preprocessing the data. This dataset is then utilized to build a model. The model is defined as a plurality of transforms which can be utilized to run an on-line model. This on-line model is interfaced with the historical database such that the variable names associated therewith can be downloaded to the historical database. This historical database can then be interfaced with a control system to either directly operate the plant or to provide an operator an interface to various predicted data about the plant. The building operation will create the transform list and then a configuration step is performed in order to configure the model to interface with the historical database. When the dataset was extracted, it is unknown whether the variables names are still valid. It is therefore necessary to read and write the various variables to the database to determine if they are in fact valid. Further, the predicted output values, which may not have been a part of the historical database, need to be verified. Once these are verified, then the on-line model can be created to generate the predicted value for transfer to the control system. During this period of time, the control system must be disabled.

An automatic data flow architecture builder is disclosed that is operable to take raw data which is stored in a raw data buffer (60) and transform it for storage in a transformed data buffer (78). A plurality of transform blocks (68), (70) and (72) are provided for this transform operation, these disposed in a predetermined data flow. When the user inputs a new transform to be disposed within the data flow of the transforms, rules are applied via a rule-base processing system (74) to apply a set of predetermined rules in a rule database (76) to the transform. These rules determine where the transform is to be inserted. This provides an automatic construction operation of a data flow architecture.

Method and apparatus for automatically constructing a data flow

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Austin, TX, United States of America

Joshua Brennan Ellinger