Testing AI-generated graphical object programming code

By using generative artificial intelligence algorithms and large-scale language models, the problem of low efficiency in programming code design in industrial automation systems has been solved, enabling flexible interaction of multimodal inputs and real-time code generation, thereby improving the system's design and troubleshooting capabilities.

CN122064342APending Publication Date: 2026-05-19ROCKWELL AUTOMATION TECH INC
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
ROCKWELL AUTOMATION TECH INC
Filing Date
2025-11-17
Publication Date
2026-05-19

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Abstract

The invention discloses testing AI generated graphical object programming code. A method may include receiving a request to verify operability of graphical object programming code associated with an industrial device in an industrial automation system, generating a test script associated with the request, and generating one or more test results associated with the test script simulating the graphical object programming code. The method may also involve determining that the one or more test results are less than a threshold, generating one or more suggestions for modifying the graphical object programming code in response to the one or more test results being less than the threshold, and updating the graphical object programming code based on the one or more suggestions. The method may then involve executing the updated graphical object programming code by the industrial device.
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