LLM-Powered Multi-Actor System for Intelligent Analysis and Visualization of IEC 61499 Control Systems

Midhun Xavier; Tatiana Laikh; Sandeep Patil; Valeriy Vyatkin

doi:10.1109/IECON55916.2024.10905502

LLM-Powered Multi-Actor System for Intelligent Analysis and Visualization of IEC 61499 Control Systems

Midhun Xavier^*
, Tatiana Laikh
, Sandeep Patil
, Valeriy Vyatkin

^*Corresponding author for this work

Luleå University of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

5 Citations (Scopus)

Abstract

This paper introduces an innovative multiactor framework that harnesses the potential of LLMs to augment the functionalities of ICS. By integrating conversational AI technologies, this framework significantly improves human-machine interactions, enabling sophisticated analysis and visualization of intricate data sets. The core of the system comprises specialized LLM actors that interact through a LangGraph-based multiactor framework, addressing various aspects of IEC 61499 control systems including PLC code analysis, SQL query execution, and data visualization. This integration enables operators to interact with the control system using natural language, significantly reducing technical barriers and enhancing the accessibility and usability of complex industrial systems.

Original language	English
Title of host publication	IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society, Proceedings
Publisher	IEEE
Number of pages	8
ISBN (Electronic)	978-1-6654-6454-3
DOIs	https://doi.org/10.1109/IECON55916.2024.10905502
Publication status	Published - 2024
MoE publication type	A4 Conference publication
Event	Annual Conference of the IEEE Industrial Electronics Society - Chicago, United States Duration: 3 Nov 2024 → 6 Nov 2024 Conference number: 50

Publication series

Name	IECON Proceedings (Industrial Electronics Conference)
ISSN (Print)	2162-4704
ISSN (Electronic)	2577-1647

Conference

Conference	Annual Conference of the IEEE Industrial Electronics Society
Abbreviated title	IECON
Country/Territory	United States
City	Chicago
Period	03/11/2024 → 06/11/2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

IEC 61499
LangChain
LangGraph
LLM

Access to Document

10.1109/IECON55916.2024.10905502

Cite this

@inproceedings{b36cedfb92b6428aaa71a39eebfeb1db,

title = "LLM-Powered Multi-Actor System for Intelligent Analysis and Visualization of IEC 61499 Control Systems",

abstract = "This paper introduces an innovative multiactor framework that harnesses the potential of LLMs to augment the functionalities of ICS. By integrating conversational AI technologies, this framework significantly improves human-machine interactions, enabling sophisticated analysis and visualization of intricate data sets. The core of the system comprises specialized LLM actors that interact through a LangGraph-based multiactor framework, addressing various aspects of IEC 61499 control systems including PLC code analysis, SQL query execution, and data visualization. This integration enables operators to interact with the control system using natural language, significantly reducing technical barriers and enhancing the accessibility and usability of complex industrial systems.",

keywords = "IEC 61499, LangChain, LangGraph, LLM",

author = "Midhun Xavier and Tatiana Laikh and Sandeep Patil and Valeriy Vyatkin",

note = "Publisher Copyright: {\textcopyright} 2024 IEEE. | openaire: EC/HE/101057083/EU//Zero-SWARM; Annual Conference of the IEEE Industrial Electronics Society, IECON ; Conference date: 03-11-2024 Through 06-11-2024",

year = "2024",

doi = "10.1109/IECON55916.2024.10905502",

language = "English",

series = "IECON Proceedings (Industrial Electronics Conference)",

publisher = "IEEE",

booktitle = "IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society, Proceedings",

address = "United States",

}

Xavier, M, Laikh, T, Patil, S & Vyatkin, V 2024, LLM-Powered Multi-Actor System for Intelligent Analysis and Visualization of IEC 61499 Control Systems. in IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society, Proceedings. IECON Proceedings (Industrial Electronics Conference), IEEE, Annual Conference of the IEEE Industrial Electronics Society, Chicago, Illinois, United States, 03/11/2024. https://doi.org/10.1109/IECON55916.2024.10905502

LLM-Powered Multi-Actor System for Intelligent Analysis and Visualization of IEC 61499 Control Systems. / Xavier, Midhun; Laikh, Tatiana; Patil, Sandeep et al.
IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society, Proceedings. IEEE, 2024. (IECON Proceedings (Industrial Electronics Conference)).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - LLM-Powered Multi-Actor System for Intelligent Analysis and Visualization of IEC 61499 Control Systems

AU - Xavier, Midhun

AU - Laikh, Tatiana

AU - Patil, Sandeep

AU - Vyatkin, Valeriy

N1 - Conference code: 50

PY - 2024

Y1 - 2024

N2 - This paper introduces an innovative multiactor framework that harnesses the potential of LLMs to augment the functionalities of ICS. By integrating conversational AI technologies, this framework significantly improves human-machine interactions, enabling sophisticated analysis and visualization of intricate data sets. The core of the system comprises specialized LLM actors that interact through a LangGraph-based multiactor framework, addressing various aspects of IEC 61499 control systems including PLC code analysis, SQL query execution, and data visualization. This integration enables operators to interact with the control system using natural language, significantly reducing technical barriers and enhancing the accessibility and usability of complex industrial systems.

AB - This paper introduces an innovative multiactor framework that harnesses the potential of LLMs to augment the functionalities of ICS. By integrating conversational AI technologies, this framework significantly improves human-machine interactions, enabling sophisticated analysis and visualization of intricate data sets. The core of the system comprises specialized LLM actors that interact through a LangGraph-based multiactor framework, addressing various aspects of IEC 61499 control systems including PLC code analysis, SQL query execution, and data visualization. This integration enables operators to interact with the control system using natural language, significantly reducing technical barriers and enhancing the accessibility and usability of complex industrial systems.

KW - IEC 61499

KW - LangChain

KW - LangGraph

KW - LLM

UR - https://www.scopus.com/pages/publications/105000840620

U2 - 10.1109/IECON55916.2024.10905502

DO - 10.1109/IECON55916.2024.10905502

M3 - Conference article in proceedings

AN - SCOPUS:105000840620

T3 - IECON Proceedings (Industrial Electronics Conference)

BT - IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society, Proceedings

PB - IEEE

T2 - Annual Conference of the IEEE Industrial Electronics Society

Y2 - 3 November 2024 through 6 November 2024

ER -

LLM-Powered Multi-Actor System for Intelligent Analysis and Visualization of IEC 61499 Control Systems

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

-: ZERO-SWARM/T41010

Cite this

LLM-Powered Multi-Actor System for Intelligent Analysis and Visualization of IEC 61499 Control Systems

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Projects

-: ZERO-SWARM/T41010

Cite this