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Digital Transformation with Digital Twin

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Our Business

We are applying digital twin-based cloud smart EMS to improve energy efficiency in general industrial complexes,
complex industrial complexes, and individual factories and buildings.

D(x)EMS

  • - Continuous upgrade of energy optimization level by linking equipment and process data to digital twin
  • - Failure prediction and response plan derivation through continuous performance monitoring, failure prediction through abnormality detection,
       and response plan derivation of energy overconsuming equipment, etc.
  • - Presentation of an optimal economic operation plan considering greenhouse gas reduction

DxEMS (Digital twin-based energy control system)

  • - Flexible applicability: FEMS, BEMS, HEMS & CEMS
  • - Cloud-based economics: Field cost reduction
  • - Digital twin-based optimization: State-based operation optimization
  • - Convergence of domain knowledge and data science

DxCOMP

  • • Modeling for various equipment consisting of compressors and presentingan optimal operation guide through simulation with DxCOMP

Digital Twin Model Development

  • • Building a big data analysis system
    • - Acquire long-term accumulated raw data and event data to analyze performance trend and equipment status
    • - Build a DB system that extracts necessary data from the field server for compressors and manage it on a separate server.
  • • Developing a performance model
    • - Develop a model that can simulate the performance of the compressor system according to external environmental input and output conditions
    • - Realize a simulation of the performance of major components and the discharge state of the header outlet.

System Concept Modeling Diagram

System Concept Modeling Diagram

Performance Simulation Development

  • • Simulation according to external environmental variables (atmospheric temperature, atmospheric pressure, humidity, etc.)
  • • Simulation according to equipment load (whether compressor is operating, whether dryer is operating, whether filter is clogged, etc.)
  • • Simulation based on the current operation status by acquiring DB operation data
  • • Performance simulation for each compressor line

Condition Monitoring GUI

System Performance Simulation Model