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

Claim 16:
17. A non-transitory computer-readable storage medium having instructions stored therein that, when executed by one or more hardware processors, cause the one or more hardware processors to perform method steps comprising:
receiving a user command from a user on at least one of an 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 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 one or more performance attributes associated with the identified type of industrial assembly process based on a trained AI based classification table;
applying 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 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 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 the generated response on at least one of the AI based conversational platform and the graphical user interface platform in one or more representation forms.