Digital Twin of Experimental Workplace for Quality Control with Cloud Platform Support

  • Kamil ZidekEmail author
  • Jan Pitel
  • Ivan Pavlenko
  • Peter Lazorik
  • Alexander Hosovsky
Conference paper
Part of the EAI/Springer Innovations in Communication and Computing book series (EAISICC)


This chapter deals with implementation of digital twin for experimental quality control system to remote monitoring, simulation, and optimization of real process. The main area of study is problem of connection and transformation of digital data from quality control process and product to digital twins and synchronization with Cloud Platform. Actual status of experimental quality control system is synchronized with digital twin for online interaction. Digitalized data must be stored in long-term horizon, which is performed by Cloud Platform, and it provides Big Data processing techniques. Digital twin of quality control system is transferred from 3D model to simulation software Tecnomatix. Interconnection between cloud control system and simulated Tecnomatix model (digital twin) is realized by OPC server. The technologies selected for data collection from experimental system are vision systems, RFID, and MEMS devices.


Automation Industry 4.0 Digitalization Cloud platforms 



This work was supported by the Slovak Research and Development Agency under contract No. APVV-15-0602 and also by the Project of the Structural Funds of the EU, ITMS code: 26220220103.


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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Kamil Zidek
    • 1
    Email author
  • Jan Pitel
    • 1
  • Ivan Pavlenko
    • 2
  • Peter Lazorik
    • 1
  • Alexander Hosovsky
    • 1
  1. 1.Faculty of Manufacturing Technologies with a Seat in Presov, Department of Industrial Engineering and InformaticsTechnical University of KosicePrešovSlovakia
  2. 2.Faculty of Technical Systems and Energy Efficient Technologies, Department of General Mechanics and Machine DynamicsSumy State UniversitySumyUkraine

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