• Home
  • About the Project
    • Optimum
    • Consortium
    • Project timeline
    • Project Gallery
    • Video Gallery
    • Privacy Policy & Imprint
  • Results
    • Dissemination
    • Exploitation
    • Deliverables
  • News
  • Contact

Implementation of Distributed Smart Factory Platform based on Edge Computing and OPC UA

  1. Home
  2. Implementation of Di ...
IoT (Internet of Things) is a core technology of hyper connected society that connects and interacts with all things, spaces and environments in the real world. Recently, IoT has evolved into edge computing technology that enhances data processing and analysis by decentralizing the computing power that was performed in the central cloud to an end device. Since edge computing is a structure suitable for a manufacturing environment requiring real-time processing of data and fast response, many studies have considered edge computing as an optimized platform technology for constructing a smart factory. Therefore, we design and implement a distributed smart factory platform for application to the factory environment based on the distributed architecture of edge computing. The proposed platform uses the data communication mechanism based on OPC UA standard to support M2M interaction between distributed edge devices. The implementation results are applied to the smart factory test bed, which is constructed through a preliminary study for applicability verification.

  • Publisher IEEE
  • Published in IEEE Xplore
  • Date 14 / Oct / 19
  • Place/Country Lisbon / Portugal
  • Name of Conference / Workshop / Event 2019 Conference of the IEEE Industrial Electronics Society (IECON)
  • Type Presentation
  • Author(s) Yang Koo Lee, Hakjin Lee, Seung-Jun Lee and Daesub Yoon





Anja Fischer / Projectmanagement

[email protected]+49 2335 92 2976



This project is funded by the Public Authorities below:



You can get more information about the partners and project contact details at: OPTIMUM ITEA3 page .
© 2020 Optimum - All Rights Reserved
This website makes use of cookies to enhance your experience. By continuing to use the site, we will assume you agree with this. ACCEPT
Read More
Privacy & Cookies Policy

Privacy Overview

This website uses cookies to improve your experience while you navigate through the website. Out of these cookies, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may have an effect on your browsing experience.
Necessary
Always Enabled
Necessary cookies are absolutely essential for the website to function properly. This category only includes cookies that ensures basic functionalities and security features of the website. These cookies do not store any personal information.
Non-necessary
Any cookies that may not be particularly necessary for the website to function and is used specifically to collect user personal data via analytics, ads, other embedded contents are termed as non-necessary cookies. It is mandatory to procure user consent prior to running these cookies on your website.
SAVE & ACCEPT