Control systems and process performance management

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  1. Draw the hierarchy of process automation levelĀ 
    Which level needs small helpers and why?
    • operational side and planning side giving time scales for each.
    • C(3) P(3) P(3) P(3) E(2)
  2. Historically how were the control systems used? And how IT systems helped?
    • lot of data collected on field and few important parameters displayed in the control room.
    • not complete reliance on data in control room.
    • IT technology gave a better alternative. in old times new device meant putting a new hole in the wall and associated troubles. IT solves it with smart computer displays.
  3. two directions of automation/control development explain both.
    • PLC(SPS)- intelligence on the field
    • DCS(PLS)-intelligence in the control room - explain with a diagram and more details which include flow from bottom to top.
  4. why are there no single connections for all the levels in a DCS system
  5. Explain in short modern structure of control systems.
  6. what motivates thedevelopment of artificial helpers
  7. describe in short
    alarm frquency limits. Why are alarms used and why they may come up?how does it relate to process monitoring
    • explain with cooling water.
    • filtering rubbish so that only the most important information goes to the operator.
  8. problem of too many
    alarms. Why does it happen? vicious circle
    • 1. generation
    • 2.standard display
    • 3. evaluation
    • 4. intervention.
  9. define KPI
  10. What does PPM mean?
    behind PPM wrt alarms
  11. Fundamental process
    parameters with respect to KPI at the top of the pyramid.
  12. Typical questions
    considered in PPM.
  13. Economic motivation
    for PPM
  14. Describe the
    workflow for process monitoring with an example.
    • From current state to target state.
    • blue and green curves.
    • electrolysis process.
  15. Principles of PPM
  16. methods of process
  17. methods of process
    diagnosis by model building
  18. functional
    approaches to PPM
    • short term
    • long term
  19. graphically explain
    how data and process knowledge is combined.
    • y axis-device , equipment, plant
    • x axis- statistic model to rigrous process model.
  20. define and explain
    trend detection. Give an examle where it is applied practically
    • plot the difference and the weighted integral of deviations.
    • mixer plugging,- valve characteristic monitoring.
  21. explain with an
    example data reconciliation.
    flow example
  22. how to implement a
    systematic project execution
    • phase 1
    • phase 2
  23. what is performance
    monitoring concept and how to integrate into a system
    • 1 performance monitoring concept
    • 2 PMC integrated into a system
  24. what GUI does the operator see?
  25. what are the
    critical factors for success in terms of PPM?
    • process knowledge
    • system oriented competence
    • workflow knowledge
    • human factor
  26. recollect some
    examples for implementing PPM
    • fouling monitoring
    • energy monitoring
    • reactor monitoring using data reconciliation
    • online heat balance
  27. motivation behind
    controller performance monitoring
Card Set:
Control systems and process performance management
2013-07-09 17:06:33

Lecture 3 Bayer
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