Offline Reproduction of Function Block Networks in IEC 61499 Resources

  • Jose Cabral*
  • , Alois Zoitl*
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceedingspeer-review

Abstract

The debugging capabilities in the automation domain lag behind those in other domains. One obstacle to debugging systems in the automation domain is the presence of heavy and costly machinery connected to the Programmable Logic Controllers (PLCs). Replay debugging presents an opportunity to overcome this issue by allowing the user to debug a system with full control and observability, without the real system being connected. During the first stage of replay debugging, information is captured while the system is running. This is then used during the second stage to reproduce the system in a safe environment.This work focuses on a viability analysis of replay debugging for Function Block networks within resources modelled according to the IEC 61499 standard. In order to reduce the execution impact of information capture, the work presents an approach where only a small subset of the run-time information is captured and can be used in an offline stage to generate the full execution behaviour of an IEC 61499 resource. Thorough tests and experiments show that the reproduction of the original states is possible.
Original languageEnglish
Title of host publication2025 IEEE 30th International Conference on Emerging Technologies and Factory Automation (ETFA)
EditorsLuis Almeida, Marina Indria, Mario de Sousa, Antonio Visioli, Mohammad Ashjaei, Pedro Santos
PublisherIEEE
Pages1-8
Number of pages8
ISBN (Electronic)9798331553838
ISBN (Print)979-8-3315-5384-5
DOIs
Publication statusPublished - 21 Oct 2025
Event2025 IEEE 30th International Conference on Emerging Technologies and Factory Automation (ETFA) - Porto, Portugal
Duration: 09 Sept 202512 Sept 2025

Publication series

NameIEEE International Conference on Emerging Technologies and Factory Automation, ETFA
ISSN (Print)1946-0740
ISSN (Electronic)1946-0759

Conference

Conference2025 IEEE 30th International Conference on Emerging Technologies and Factory Automation (ETFA)
Period09.09.202512.09.2025

Fields of science

  • 202003 Automation
  • 102022 Software development
  • 202017 Embedded systems
  • 202041 Computer engineering
  • 102029 Practical computer science
  • 102025 Distributed systems
  • 102 Computer Sciences

JKU Focus areas

  • Digital Transformation

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