US 12,607,987 B2 · Prompt engineering for artificial intelligence assisted industrial automation device troubleshooting

Abstract

The present technology relates to artificial intelligence assisted device troubleshooting. In an implementation, an interface service of a human machine interface application trains a machine learning model on the content of an embeddings database. The interface service then receives an input comprising a context of an automation system design. The interface service generates a prompt that includes an instruction for the ML model to identify an anomaly type associated with the context of the automation system design and to generate a solution that addresses the anomaly type. The interface service transmits the prompt to the ML model and receives a response from the ML model that includes the anomaly type and the requested solution. After receiving a response, the interface service may modify the automation system design based on the content of the response and surface a graphical user interface that includes the modified design.

Claims20

Dependent claims

A method of operating an interface service, the method comprising:

receiving, via a graphical user interface (GUI) of a human machine interface application, an input comprising a context of an automation system design;
generating a first prompt requesting identification of an anomaly type associated with the context of the automation system design, wherein the first prompt is generated based at least in part on system information of the automation system design;
transmitting the first prompt to a large language model;
receiving a first response to the first prompt from the large language model, the first response comprising the anomaly type;
generating, based on the system information and the anomaly type, a second prompt requesting a solution that addresses the anomaly type;
transmitting the second prompt to the large language model;
receiving a second response to the second prompt, the second response comprising the solution;
and
displaying, via the GUI, the second response.

6 more elements

A system, comprising:

one or more processors;
and
a memory having stored thereon instructions that, upon execution by the one or more processors, cause the one or more processors to:
receive, via a graphical user interface (GUI) of a human machine interface application, an input comprising a context of an automation system design;
generate a first prompt requesting identification of an anomaly type in the automation system design, wherein the first prompt is generated based at least in part on system information associated with the automation system design;
transmit the first prompt to a large language model;
receive a first response to the first prompt from the large language model, the first response comprising the anomaly type;
generate, based on the system information and the anomaly type, a second prompt requesting a solution that addresses the anomaly type;
transmit the second prompt to the large language model;
receive a second response to the second prompt, the second response comprising the solution;
and
display, via the GUI, the second response.

9 more elements

Dependencies are inferred from the claim text.

Prompt engineering for artificial intelligence assisted industrial automation device troubleshooting

Life of this patent

Prompt engineering for artificial intelligence assisted industrial automation device troubleshooting

Life of this patent

Abstract

Claims20