US 2026/0161143 A1Published application

System and method for optimization of industrial operation based on simulation data thereof

AssigneeQuantiphi, Inc

InventorsDagnachew Birru, Anirudh Deodhar, Rishi Yash Parekh, Tanmaya Singhal, Vipul Patel

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Abstract

System (100) for optimization of industrial operation, based on simulation data thereof, system comprising processing unit (102) configured to generate simulation data related to industrial operation; generate knowledge graph ontology; generate knowledge graph instance representing simulation data; receive user request to analyze quality of industrial operation, from user device (104) of user; analyze quality of industrial operation; generate response to user request, based on analyzed quality of industrial operation; send response to user device; receive first user input from user device, wherein first user input is indicative of user approval on industrial operation; and when user approval on industrial operation is positive, employ simulation data for implementation of industrial operation; or when user approval on industrial operation is negative, generate updated simulation data, based on analysis of quality of industrial operation, and repeat aforementioned steps for updated simulation data.

Claims8

Dependent claims

A system (100) for optimization of an industrial operation, based on simulation data thereof, the system comprising:

a processing unit (102) configured to:
(i) generate the simulation data related to the industrial operation;
(ii) generate a knowledge graph ontology, based on a domain of the industrial operation, using a knowledge graph ontology builder module;
(iii) generate a knowledge graph instance representing the simulation data, based on the knowledge graph ontology, using a knowledge graph creation module;
(iv) receive a user request to analyze a quality of the industrial operation via the simulation data represented in the knowledge graph instance, from a user device (104) of a user communicably coupled to the processing unit;
(v) analyze the quality of the industrial operation via the simulation data represented in the knowledge graph instance using a simulation assistant;
(vi) generate a response to the user request, using the simulation assistant, based on the analysis of the quality of the industrial operation;
(vii) send the response to the user device;
(viii) receive a first user input from the user device, wherein the first user input is indicative of a user approval on the industrial operation, based on the response;
and
when the user approval on the industrial operation is positive:
(ix) employ the simulation data for implementation of the industrial operation;
or
when the user approval on the industrial operation is negative:
(ix) generate an updated simulation data, based on the analysis of the quality of the industrial operation, and
(x) repeat steps (iii) to (viii) for the updated simulation data, wherein the quality of the industrial operation is analyzed via the updated simulation data represented in an updated knowledge graph instance using the simulation assistant, based on a comparison of the updated knowledge graph instance representing the updated simulation data with previously stored knowledge graph instances of historical data related to the industrial operation, stored in a database communicably coupled to the processing unit.

13 more elements

A method for optimization of an industrial operation, based on simulation data thereof, the method comprising:

(i) generating the simulation data related to the industrial operation;
(ii) generating a knowledge graph ontology, based on a domain of the industrial operation, using a knowledge graph ontology builder module;
(iii) generating a knowledge graph instance representing the simulation data, based on the knowledge graph ontology, using a knowledge graph creation module;
(iv) receiving a user request to analyze a quality of the industrial operation via the simulation data represented in the knowledge graph instance, from a user device (104) of a user communicably coupled to the processing unit;
(v) analyzing the quality of the industrial operation via the simulation data represented in the knowledge graph instance using a simulation assistant;
(vi) generating a response to the user request, using the simulation assistant, based on the analysis of the quality of the industrial operation;
(vii) sending the response to the user device;
(viii) receiving a first user input from the user device, wherein the first user input is indicative of a user approval on the industrial operation, based on the response;
and
when the user approval on the industrial operation is positive:
(ix) employing the simulation data for implementation of the industrial operation;
or
when the user approval on the industrial operation is negative:
(ix) generating an updated simulation data, based on the analysis of the quality of the industrial operation, and
(x) repeating steps (iii) to (viii) for the updated simulation data, wherein the quality of the industrial operation is analyzed via the updated simulation data represented in an updated knowledge graph instance using the simulation assistant, based on a comparison of the updated knowledge graph instance representing the updated simulation data with previously stored knowledge graph instances of historical data related to the industrial operation, stored in a database.

12 more elements

Dependencies are inferred from the claim text.