Automatic extraction of assets data from engineering data sources
AssigneeSchneider Electric Systems USA, Inc.
InventorsSameer KONDEJKAR, Mallikarjuna MUNUGOTI, James MCINTYRE, Grant LESUEUR
Life of this patent
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Abstract
Systems and methods for controlling industrial process automation and control systems can automatically, through the use of machine learning (ML) models and algorithms, extract plant assets from engineering diagrams and other plant engineering data sources. The systems and methods can establish asset relationships to create a plant asset registry and build an asset hierarchy from the plant assets. The systems and methods can generate an ontological knowledge base from the plant asset hierarchy, and provide an HMI for controlling the industrial process based on the plant asset hierarchy and the ontological knowledge base.
Claims21
A control system for an industrial plant, comprising:
- one or more processors;
- and
- a storage unit communicatively coupled to the one or more processors and storing processor-executable instructions thereon that, when executed by the one or more processors, cause the control system to:
- perform a process that inputs data from a plurality of engineering data sources for the industrial plant, the data including structured and unstructured data;
- perform a process that extracts one or more domain entities from the structured and unstructured data;
- perform a process that extracts instances of the one or more domain entities from the structured and unstructured data;
- perform a process that receives a semantic model built based on the one or more domain entities and the instances of one or more domain entities;
- perform a process that creates and stores a knowledge graph based on the semantic model;
- and
- perform a process that extracts information from the knowledge graph to build machine interface (HMI) displays and control applications for the industrial plant.
A method of controlling an industrial plant, comprising:
- inputting data from a plurality of engineering data sources for the industrial plant, the data including structured and unstructured data;
- extracting one or more domain entities from the structured and unstructured data;
- extracting instances of the one or more domain entities from the structured and unstructured data;
- receiving a semantic model built based on the one or more domain entities and the instances of one or more domain entities;
- creating and storing a knowledge graph based on the semantic model;
- and
- extracting information from the knowledge graph to build machine interface (HMI) displays and control applications for the industrial plant.
(canceled)
Dependencies are inferred from the claim text.