Patent ID: 11947343
Assignee: RETROCAUSAL, INC.
Field: Control (Instruments)
Classification: CPC G | IPC G

Claim 8:
9. A computer-implemented method for optimizing industrial assembly process in an industrial environment, the computer-implemented method comprising:
receiving, by one or more hardware processors, a user command from a user on an at least one of artificial intelligence (AI) based conversational platform and a graphical user interface platform, wherein the user command comprises a query associated with an industrial assembly process;
identifying, by the one or more hardware processors, a type of the industrial assembly process indicated in the received user command by extracting at least one of one or more keywords and interaction of visual elements comprised in the received user command;
determining, by the one or more hardware processors, one or more performance attributes associated with the identified type of industrial assembly process based on a trained AI based classification table;
applying, by the one or more hardware processors, the determined one or more performance attributes to a trained AI based language model, wherein the determined one or more performance attributes are mapped to at least one of domain knowledge, data associated with organization-specific knowledge bases, data from tools and internet-based services, and statistics and measurements obtained from an industrial environment;
generating, by the one or more hardware processors, a response to the received user command based on results of the trained AI based language model, wherein the response comprises at least one of one or more insights on performance level of the industrial assembly process, recommendations to current industrial assembly process, and actuation commands to operate one or more machinery deployed in the industrial assembly environment, wherein in generating the response, the AI based language module is configured for:
determining a root cause of a state of the current industrial assembly process based on the determined one or more performance attributes, determined pre-recorded events, domain knowledge, the data associated with organization-specific knowledge bases, the data from tools and internet-based services, and the statistics and measurements obtained from the industrial environment; and
generating recommendations to the current industrial assembly process based on the determined root cause of the determined state of the current industrial assembly process; and

outputting, by the one or more hardware processors, the generated response on at least one of the AI based conversational platform and a graphical user interface platform in one or more representation forms.