Monitoring of Manufacturing Facility based on International Standard Protocols for an Implementation of Digital Twin

Authors

  • Dongbeom Ko
  • Seunghwa Lee
  • Jeongmin Park

Abstract

Establishment and focus: With the recent acceleration of technology development, technologies for smartization of existing manufacturing plants such as digital twins are being illuminated. This paper introduces existing data collection techniques for digital twins. A Manufacturing Execution System that can improve productivity and help decision making by monitoring production plants in real-time is one of the key technologies for smart factories. The application of digital twin technology for more accurate monitoring is also an important issue. However, digital twin implementations require an integrated infrastructure that can integrate various equipment data from different manufacturers. In this paper, we proposed four processes for collection based on data standards for integrating facility data from different manufacturers. Based on the process scenario, we collected approximately 10,000 data over 120 seconds and showed an average 108ms delay before the data was verified.
System: This paper designs and develops a visualization program that can verify real-time information of facilities using data collection system based on international standard protocols developed for collection and monitoring of data from heterogeneous facilities. To this end, heterogeneous facility data generators are used to collect data based on standard protocols and to calculate the total amount of data collected and the delay time, demonstrating the high reliability of digital twin. This allows a factory to integrate equipment data from different manufacturers and view them in real-time.

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Published

2020-03-26

Issue

Section

Articles