Work

Industrial Control Software Migration Based on Large Language Models

Year: 2025

Type: conference-paper

Abstract: Industry 4.0 demands intelligent and customized production, driving the upgrade of traditional systems. However, many industrial devices lack source code or documentation, making control program migration highly challenging. This issue is critical for PLC replacement, system modernization, and integration of heterogeneous devices. Recently, large language models (LLMs) have demonstrated strong capabilities in code generation and logical reasoning. When combined with the IEC 61499 standard—known for its modular and event-driven design—LLMs offer new possibilities for automatic control software generation. This paper proposes a method that uses LLMs to transform industrial control logic into IEC 61499-compliant programs. It extracts finite state machines representing software logic, converts them into formal requirements, and generates the IEC 61499 function block with the assistance of LLMs. The method enables efficient, data-driven migration of control software.

Source: Proceedings of the Annual Conference of the IEEE Industrial Electronics Society

DOI: 10.1109/iecon58223.2025.11221674

Authors: Maodong Lin, Kirill Zhukovskii, Akira King, Wenbin Dai, Valeriy Vyatkin

Institutions: Shanghai Jiao Tong University, Aalto University

Language: English

Topic: Industrial Automation and Control Systems

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

Funder: National Natural Science Foundation of China