Abstract
Highly varying electric power consumption is
charasteristic to steel and it is expensive to meet these
peak loads. Is seems possible to predict the short term
power demand and to use these predictions to control the
plants so that expensive simultaneous peak loads can be
avoided. In order to test this idea we built a prototype
system.
There are several reasons for applying knowledge
engineering to this problem. Object oriented programming
is powerful in the development and maintenance of the
system and its prediction and structure models. The
models of the steel making processess as well as the
decision making knowledge are often heuristic. Also
prototypes are needed in order the get the design
feedback from the end users.
In this paper the problem and the prototype are
described. The prototype mostly consists of
Lisp-programming structured with frames. we have used
rules only in one knowledge base. Good user interface
development tools turned out to be essential for the
prototype building.
The purpose of the prototype is to provide a basis for
the definition of the real system. The prototype
demonstrates a proposed solution but leaves some
questions unanswered. Nevertheless the prototype shows
how power can be predicted and that these predictions are
important in controlling the peak loads
Original language | English |
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Pages (from-to) | 31-37 |
Journal | IFAC Proceedings Volumes |
Volume | 25 |
Issue number | 17 |
DOIs | |
Publication status | Published - 1992 |
MoE publication type | A4 Article in a conference publication |
Keywords
- Steel industry
- metals production
- power management
- prediction
- knowledge engineering