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Related Experiment Videos

Automatic bioprocess control. 2. Implementations and practical experiences.

G Locher1, B Sonnleitner, A Fiechter

  • 1Institute of Biotechnology, ETH Hönggerberg, Zurich, Switzerland.

Journal of Biotechnology
|July 1, 1991
PubMed
Summary
This summary is machine-generated.

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This study presents an advanced bioprocess control system with a three-level hierarchical computer setup. The flexible implementation enhances decision-making and optimizes cell environments for bioprocessing needs.

Area of Science:

  • Biotechnology
  • Process Engineering
  • Computer Science

Background:

  • Traditional bioprocess control systems often lack flexibility.
  • Efficient data management and analysis are crucial for optimizing bioprocesses.
  • Hierarchical control architectures can improve system performance and reduce costs.

Purpose of the Study:

  • To introduce an improved, flexible bioprocess control implementation.
  • To detail a three-level hierarchical computer system for bioprocess management.
  • To demonstrate the capabilities and cost-effectiveness of the proposed configuration.

Main Methods:

  • Implementation of a three-level hierarchical computer system.
  • Utilizing a DDC slave computer for direct cell environment control.

Related Experiment Videos

  • Employing a supervisory computer for data analysis and strategy selection.
  • Leveraging a coordinating computer for shared task management across multiple bioprocesses.

    • Main Results:

    • The system offers flexible responses to diverse process requirements.
    • Automated and manual control strategies can be implemented.
    • Enhanced data organization, analysis, and interpretation support real-time decision-making.
    • Shared tasks at the coordinating level lead to significant equipment cost savings.

    Conclusions:

    • The presented hierarchical bioprocess control system provides a flexible and efficient solution.
    • The architecture supports both automated and user-defined control strategies.
    • This implementation offers a cost-effective approach to advanced bioprocess management.