MACHINE LEARNING APPROACH FOR DESCRIPTIVE, PREDICTIVE, AND PRESCRIPTIVE FACILITY OPERATIONS

A digital twin of a facility defines relationships between different components of the facility and a system of record for the facility. Information from different monitoring systems for the facility are related to events by the digital twin of the facility. Historical operation information for the...

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Bibliographische Detailangaben
Hauptverfasser:	TAYLOR, Seth T, YENGLE, Carlos M, ZHANG, Qiong, SHADIYA-OLUWADAIRO, Olamide, RICHARDEL, Peter A, JAIN, Amitkumar C, BERRY, Ivan R, SHAH, Nilesh M, KANDASAMY, Sakthivel
Format:	Patent
Sprache:	eng ; fre
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING CONTROL OR REGULATING SYSTEMS IN GENERAL CONTROLLING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRIC DIGITAL DATA PROCESSING FUNCTIONAL ELEMENTS OF SUCH SYSTEMS MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS ORELEMENTS PHYSICS REGULATING SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:	A digital twin of a facility defines relationships between different components of the facility and a system of record for the facility. Information from different monitoring systems for the facility are related to events by the digital twin of the facility. Historical operation information for the facility is used to train a machine learning model. The trained machine learning model facilitates operations at the facility by providing descriptive information, predictive information, and/or prescriptive information on the operations at the facility. Un jumeau numérique d'une installation définit des relations entre différents composants de l'installation et un système d'enregistrement pour l'installation. Des informations provenant de différents systèmes de surveillance pour l'installation sont associées à des événements par le jumeau numérique de l'installation. Des informations d'opérations historiques pour l'installation sont utilisées pour entraîner un modèle d'apprentissage automatique. Le modèle d'apprentissage automatique entraîné facilite des opérations au niveau de l'installation en fournissant des informations descriptives, des informations prédictives et/ou des informations prescriptives sur les opérations au niveau de l'installation.