How can LLMs control industrial automation?
Control Industrial Automation System with Large Language Models
September 27, 2024
https://arxiv.org/pdf/2409.18009This paper introduces a framework to control industrial automation systems using large language models (LLMs).
Key takeaways for LLM-based multi-agent systems:
- Hierarchical Agent System: Uses "manager" agents for high-level planning and "operator" agents to control specific equipment.
- Event-Driven Architecture: Agents react to real-time events from the automation system, enabling dynamic responses.
- Structured Prompting with SOPs: LLMs are guided by prompts containing Standard Operating Procedures (SOPs), providing context and safety guidelines.
- Dataset Generation: A method to generate datasets for training and evaluating LLM agents in automation tasks is presented.
- Fine-tuning: Experiments demonstrate that fine-tuning pre-trained LLMs on task-specific data significantly improves performance in automation control.