Integrated digital twin for an industrial facility
A method of process monitoring of an industrial process involving a tangible run an industrial facility includes providing an integrated facility digital twin (DT) implemented by a computer system which implements an aggregation algorithm that utilizes models including a plurality of inter-related s...
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Format | Patent |
Language | English |
Published |
29.12.2020
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Subjects | |
Online Access | Get full text |
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Abstract | A method of process monitoring of an industrial process involving a tangible run an industrial facility includes providing an integrated facility digital twin (DT) implemented by a computer system which implements an aggregation algorithm that utilizes models including a plurality of inter-related static models for the industrial facility including an asset model that describes devices and systems in the industrial facility including sensors coupled to processing equipment and a flowsheet model, and dynamic models of the industrial facility including calculation models, symptom and fault models, dynamic simulation models, and machine learning models. The aggregation algorithm using outputs from the static models and dynamic model, generates an aggregated view including performance alerts for at least one of the process equipment and industrial process based on a current performance of the industrial process. |
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AbstractList | A method of process monitoring of an industrial process involving a tangible run an industrial facility includes providing an integrated facility digital twin (DT) implemented by a computer system which implements an aggregation algorithm that utilizes models including a plurality of inter-related static models for the industrial facility including an asset model that describes devices and systems in the industrial facility including sensors coupled to processing equipment and a flowsheet model, and dynamic models of the industrial facility including calculation models, symptom and fault models, dynamic simulation models, and machine learning models. The aggregation algorithm using outputs from the static models and dynamic model, generates an aggregated view including performance alerts for at least one of the process equipment and industrial process based on a current performance of the industrial process. |
Author | McLaughlin, Paul F Burd, Matthew G |
Author_xml | – fullname: McLaughlin, Paul F – fullname: Burd, Matthew G |
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Notes | Application Number: US201715416569 |
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RelatedCompanies | HONEYWELL INTERNATIONAL INC |
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SubjectTerms | CALCULATING COMPUTING CONTROL OR REGULATING SYSTEMS IN GENERAL CONTROLLING COUNTING ELECTRIC DIGITAL DATA PROCESSING FUNCTIONAL ELEMENTS OF SUCH SYSTEMS MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS ORELEMENTS PHYSICS REGULATING |
Title | Integrated digital twin for an industrial facility |
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