Simulation Training System

HOLLiAS Simuplant Operator Training Simulation System

System Functions
  • Process training: Improve understanding of processes, improve control techniques, reduce human errors, and ensure production safety.
  • Automation-training: Improve the DCS maintenance skills of the technicians so as to ensure the stable running of the DCS.
  • Accident drills: Formulate accident drill programs to improve accident responses and avoid employee casualties and asset losses.
  • Process parameter adjustments: Explore the best operating method and improve process parameters, so as to achieve the best economic effect.
  • Control strategy adjustments: Able to deviate from the actual system to proceed with control strategy tests, and adjust control strategies.
  • Advanced control and optimisation assistance: For advanced control and optimisation of the provision of a testing and experimenting platform to reduce commissioning risks.
Technological Characteristics
  • Seamless linkage with DCS software to enable mutual copying between two systems, setting the foundation for high-end research.
  • Multi-process distributed calculations, calculation accuracy, stability, effectiveness, and applicability in simulations of large-scale industrial process.
  • Graphical automatic modeling technology, where the automatic modeling processes are simple, effective, and the models are easy to maintain.
  • Adopts a properties-library that conforms to international standards with thousands of property classifications where verified experimental results are constantly reviewed to improve calculation accuracy.
  • There are many categories of properties that can be selected in a flexible manner based on the different work-site situations.
Functional Indicators
  • Steady state simulation accuracy: The steady state simulation accuracy for crucial parameters should be 1%, and the simulation accuracy for non-crucial parameters should be 3%.
  • Transient simulation accuracy: The transient simulation accuracy for crucial parameters should be 3%, and the simulation accuracy for non-crucial parameters should be 5%.