Generative ai industrial automation visualization runtime

A method, comprising:

• deploying, by a system comprising a processor, a human-machine interface (HMI) application to an HMI terminal for execution, wherein the HMI application renders, on the HMI terminal, display screens comprising graphical objects that render data generated by an industrial automation system;
• receiving, by the system via interaction with the HMI application, a natural language input that describes a new display screen to be added to the HMI application;
• in response to receipt of the natural language input, formulating, by the system, a prompt, directed to a generative artificial intelligence (AI) model, designed to obtain a response from the generative AI model comprising information used by the system to generate the new display screen, wherein the prompt is generated based on analysis of the natural language input and one or more custom models trained with training data;
• and
• modifying, by the system, the HMI application to add the new display screen to the HMI application.

A non-transitory computer-readable medium having stored thereon instructions that, in response to execution, cause a human-machine interface (HMI) development system comprising a processor to perform operations, the operations comprising:

• deploying a human-machine interface (HMI) application to an HMI terminal for execution, wherein the HMI application renders, on the HMI terminal, display screens comprising graphical objects that render data generated by an industrial automation system;
• receiving, via interaction with the HMI application, a natural language input that describes a new display screen to be added to the HMI application;
• in response to receipt of the natural language input, formulating a prompt, directed to a generative artificial intelligence (AI) model, designed to obtain a response from the generative AI model comprising information used by the system to generate the new display screen, wherein the prompt is generated based on analysis of the natural language input and one or more custom models trained with training data;
• and
• modifying the HMI application to add the new display screen to the HMI application.