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Automated data transfer for digital twin applications: Two case studies.

Hanna Molin1,2, Christoffer Wärff1,3, Erik Lindblom1,2

  • 1Division of Industrial Electrical Engineering and Automation (IEA), Department of Biomedical Engineering, Lund University, Lund, Sweden.

Water Environment Research : a Research Publication of the Water Environment Federation
|July 17, 2024
PubMed
Summary
This summary is machine-generated.

Digital twins offer valuable real-time insights for water resource recovery facilities. Choosing between tailor-made infrastructure and edge computing depends on specific digital twin objectives and latency requirements.

Area of Science:

  • Environmental Engineering
  • Computer Science
  • Process Control

Background:

  • Digital twins are increasingly vital for real-time process simulation across industries.
Keywords:
digital twinsedge computingprocess modelingreal‐time simulationwastewater treatmentwater resource recovery facility

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