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Cloud-Based Digital Twin for Robot Integration in Intelligent Manufacturing Systems

  • Florin Anton
  • Theodor BorangiuEmail author
  • Silviu Răileanu
  • Silvia Anton
Conference paper
  • 72 Downloads
Part of the Mechanisms and Machine Science book series (Mechan. Machine Science, volume 84)

Abstract

The paper describes the architecture design and implementing solution for the digital twins of industrial robot, aggregated and embedded in the global health monitoring, maintenance and control system of manufacturing resources. Manufacturing scheduling and control system. The main functionalities of the digital twin are: monitoring the current status and quality of services performed by robots working in the shop floor, early detecting anomalies and unexpected events to prevent robot breakdowns and production stops, and forecasting robot performances and energy consumption. Machine learning techniques are applied in the cloud layer of the virtual twin for predictive, customized maintenance and optimized robot allocation in production tasks. The paper introduces a framework integrating the virtual robot twins in an ARTI-type control architecture, proposes a solution to implement the twin on a distributed cloud platform and exemplifies the concepts in a shop floor case study with SCARA assembly robots.

Keywords

Digital twin ARTI Industrial robot Anomaly detection Predictive maintenance Edge computing Cloud computing 

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Copyright information

© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Florin Anton
    • 1
  • Theodor Borangiu
    • 1
    Email author
  • Silviu Răileanu
    • 1
  • Silvia Anton
    • 1
  1. 1.Department of Automation and Applied InformaticsUniversity Politehnica of BucharestBucharestRomania

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