Abstract
Bioprocesses are characterised by a high degree of
uncertainty, incomplete
knowledge and a lack of quantitative knowledge and
abundant experience.
Traditional, mathematical methods used for control and
optimization of
bioprocesses utilize only a small subset of the available
knowledge and are
therefore often rather uneffective. To investigate the
possibilities of a
knowledge-based approach to productivity improvement,
knowledge-based
systems for the diagnosis, control and planning of
bioprocesses were
constructed.
An expert system shell with capabilities for real-time,
on-line process
monitoring and control was constructed. The necessary
knowledge was
represented by objects, fuzzy sets and rules for
effective computer
processing. The shell was used to develop expert systems
for the diagnosis
and control of glucoamylase production by Aspergillus
niger and flat-bread
extrusion cooking.
Experience with these first systems led to the
development of a simple
formalism for improved representation of structural
knowledge of the
process. The performance of the system developed for
glucoamylase
production could be improved by the use of such
structural knowledge.
Development of bioprocesses can be viewed as a very
complex planning,
or constraint satisfaction, problem. An extensive and
complex knowledge-base was shown to be useful in
bioprocess development.
Research on the
planning of process parameters resulted in the
construction of a system for
the planning of mashing temperature profiles. This system
uses fuzzy sets
and rules to generate constraints. The tolerance
propagation approach used
for constraint processing was extended to use fuzzy sets.
Laboratory test
results indicated that worts obtained by mashing of malts
using temperature
profiles proposed by the planner, were indeed within the
required specifications.
Original language | English |
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Qualification | Doctor Degree |
Awarding Institution |
|
Award date | 18 Dec 1992 |
Place of Publication | Espoo |
Publisher | |
Print ISBNs | 951-38-4238-X |
Publication status | Published - 1992 |
MoE publication type | G5 Doctoral dissertation (article) |
Keywords
- biotechnology
- process control
- diagnosis
- planning
- fermentation
- mashing
- expert systems
- knowledge-based systems