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Design of Methodologies for Fog Computing and Intelligent Controllers Based on IEC 61499

  • Perez Pineda, Ramon Enrique (Col)
  • Caiza Guanochanga, Gustavo Javier (PI)
  • Saeteros Ortiz, Celida Morelva (Col)
  • Paucar Paucar, Wilman Fernando (Student)
  • Sigcha Tipan, Danilo Sebastian (Col)
  • Oñate Amaguaña, William Paul (Col)
  • Arguero Tello, Jonathan David (Student)
  • Ortiz Sosa, Michelle Gabriela (Student)
  • García Sánchez, Marcelo Vladimir (External)
  • Molina Andrade, Juan Carlos (Student)
  • Chiliquinga Tierra, Gabriela Fernanda (Student)
  • Calupiña Gálvez, Luis Ramiro (Student)
  • Rivera Muñoz, Michael David (Student)
  • Gallardo Cabezas, Daysi Yessenia (Student)

Project Details

Description

This project addresses the need to modernize industrial control and automation by seeking more flexible, integrated, and efficient systems, free from manufacturer lock-in. It focuses on implementing the IEC 61499 standard, which promotes portability and interoperability through an event-based Function Block (FB) approach. Given the data explosion from the Internet of Things (IoT), the emerging architecture of Fog Computing is integrated. This technology distributes storage, control, and network services towards the network edge, enabling local data preprocessing and reducing reliance on traditional Cloud Computing. The methodology involves an exhaustive state-of-the-art investigation into Fog Computing and intelligent controller architectures, followed by the simulation and development of the proposed architecture under the IEC 61499 standard guidelines. The ultimate goal is to establish a methodological framework that optimizes resource management and distributed control in modern industrial environments.<br/><br/><b>Goal</b>: <br/>To design methodologies for Fog Computing and Intelligent Controllers based on the IEC 61499 standard to enhance the flexibility, integration, and efficiency of industrial processes.<br/><br/><b>Research lines</b>: <br/>Control engineering and automation technologies
StatusFinished
Effective start/end date24/03/1923/04/21

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Fog Computing
  • Intelligent Controllers
  • IEC 61499
  • Industrial Automation
  • Interoperability
  • Portability
  • Function Blocks
  • Internet of Things
  • Distributed Control
  • Network Architecture

CACES Knowledge Areas

  • 417A Electronics, Automation and Sound

Categorías UNESCO

  • Electronics and automation

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