---
publication_id: "OT-2026-000000354"
title: "Prompt engineering for artificial intelligence assisted industrial automation device troubleshooting"
published_at: "2026-09-15T19:02:47.081969Z"
canonical_url: "https://opentechnical.org/p/OT-2026-000000354"
categories:
  - "sensors-controls-machine-vision/industrial-control"
keywords:
  - "g05b19/4184"
  - "g05b2219/31449"
---

# 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.