Figure 3.11 An integrated approach
for advanced bioprocess monitoring
and control.
- Requirements of real-time communication/needs for parallel processing.
- Definition of priority of tasks with management of priority of software processes.
CONCLUDING REMARKS
Improvement of bioprocess operation implies co-operative work between all factors
producing knowledge, i.e. scientists, process operators, and technology (Figure 3.11).
The more knowledge is available the more accurate can the process models be and the
more efficient can the new model-based operating strategies be.
Modelling through knowledge integration is becoming an attractive methodology for
industry people, mainly because it represents a straightforward way of linking all factors
producing knowledge. More accurate models may be developed at lower costs since all
different types of knowledge may be integrated in the process model.
A major constraint is the availability of suitable support software. Provided that this
constraint is eliminated, the acceptance of model-based methodologies for improvement
of industrial processes could increase considerably (in terms of both open-loop and
closed-loop control).
Up to now most industrial plants did not progress into closed-loop automatic control at
production scale even for some of the most basic environmental variables. Such steps
could be achieved, in some cases, with low risks and minor investments even with a
limited number of measuring devices. The extension of the front-end-system with a
computer dedicated for closed-loop control is sometimes a reasonable solution for
starting to investigate the benefits of closed-loop control at production scale.
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