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Progress in sensor technology--progress in process control? Part 1: sensor property investigation and classification.

L Rieger1, J Alex, S Winkler

  • 1EAWAG, Swiss Federal Institute for Environmental Science and Technology, Ueberlandstrasse 133, PO Box 611, 8600 Duebendorf, Switzerland. leiv.rieger@eawag.ch

Water Science and Technology : a Journal of the International Association on Water Pollution Research
|March 15, 2003
PubMed
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Accurate control systems in wastewater treatment plants (WWTPs) require consistent measurement and control equipment. This study introduces realistic sensor models for dynamic activated sludge simulations, improving control strategy design and optimization.

Area of Science:

  • Environmental Engineering
  • Process Control
  • Water Treatment Technologies

Background:

  • Wastewater treatment plants (WWTPs) rely on accurate control systems for efficient operation.
  • Dynamic simulation of activated sludge systems is crucial for designing and optimizing control strategies.
  • Existing simplified sensor models limit the comparability of simulations with real-world applications.

Purpose of the Study:

  • To develop more realistic sensor models for dynamic simulations of activated sludge systems.
  • To enhance the accuracy and applicability of control strategy testing in WWTPs.
  • To provide a foundation for defining measuring equipment requirements based on control strategies.

Main Methods:

  • Field and laboratory testing were conducted to gather data for sensor model development.

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  • Two groups of sensor models were proposed: specific sensor models and a classification of sensor types.
  • The proposed models are designed for integration with the COST simulation benchmark environment.

    • Main Results:

    • The developed sensor models offer a more realistic representation of measurement and control equipment.
    • The models facilitate a more accurate testing environment for control strategies.
    • This approach allows for the definition of specific measuring equipment requirements.

    Conclusions:

    • Realistic sensor models are essential for the effective design and optimization of WWTP control systems.
    • The proposed sensor models improve the link between simulation and field applications.
    • This work enables control engineers to better specify instrumentation needs for different control strategies.