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Application of knowledge-based technology to energy management systems in the steel and base metals industry. Final report; Tietaemystekniikan soveltaminen perusmetalliteollisuuden energianhallinnassa; Loppuraportti

Abstract

This report presents the results of a project for improving the application of knowledge based techniques to energy-efficient steel and metal production. One objective of the project was to build systems that help reduce the energy costs by using expert systems and other knowledge based techniques. The other was to teach the participants knowledge engineering. In the project we have considered several potential applications and chosen the following four: a hyper text based advisory system that provides knowledge of the steel making processes; short term energy management and power prediction of several steel and base metal plants; scheduling of the operation of a steel plant and modelling the evolution of steel temperature in a continuous easter tundish. In different parts of this project some popular expert system shells, hypertext, object oriented programming, rapid prototyping, fuzzy modelling and artificial neural nets have been applied among more conventional programming techniques. In all these applications prototype systems have been completed and now outside the project several production versions are under development. This is the final report of the project. The project and its results are described. The experience is discussed and applications for future research suggested
Authors:
Publication Date:
Dec 01, 1993
Product Type:
Technical Report
Report Number:
VTT-SAH-9/93
Reference Number:
SCA: 320303; PA: FI-93:003399; EDB-94:045512; NTS-94:012223; ERA-19:012439; SN: 93001106712
Resource Relation:
Other Information: DN: SULA Research Programme; PBD: 1993
Subject:
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; METAL INDUSTRY; ENERGY CONSERVATION; COORDINATED RESEARCH PROGRAMS; ENERGY EFFICIENCY; EXPERT SYSTEMS; KNOWLEDGE BASE; PROCESS CONTROL; 320303; EQUIPMENT AND PROCESSES
OSTI ID:
10135878
Research Organizations:
Technical Research Centre of Finland, Espoo (Finland). Lab. of Electrical and Automation Engineering
Country of Origin:
Finland
Language:
Finnish
Other Identifying Numbers:
Other: ON: DE94721994; TRN: FI9303399
Availability:
OSTI; NTIS
Submitting Site:
FI
Size:
43 p.
Announcement Date:
Jul 05, 2005

Citation Formats

Koponen, P. Application of knowledge-based technology to energy management systems in the steel and base metals industry. Final report; Tietaemystekniikan soveltaminen perusmetalliteollisuuden energianhallinnassa; Loppuraportti. Finland: N. p., 1993. Web.
Koponen, P. Application of knowledge-based technology to energy management systems in the steel and base metals industry. Final report; Tietaemystekniikan soveltaminen perusmetalliteollisuuden energianhallinnassa; Loppuraportti. Finland.
Koponen, P. 1993. "Application of knowledge-based technology to energy management systems in the steel and base metals industry. Final report; Tietaemystekniikan soveltaminen perusmetalliteollisuuden energianhallinnassa; Loppuraportti." Finland.
@misc{etde_10135878,
title = {Application of knowledge-based technology to energy management systems in the steel and base metals industry. Final report; Tietaemystekniikan soveltaminen perusmetalliteollisuuden energianhallinnassa; Loppuraportti}
author = {Koponen, P}
abstractNote = {This report presents the results of a project for improving the application of knowledge based techniques to energy-efficient steel and metal production. One objective of the project was to build systems that help reduce the energy costs by using expert systems and other knowledge based techniques. The other was to teach the participants knowledge engineering. In the project we have considered several potential applications and chosen the following four: a hyper text based advisory system that provides knowledge of the steel making processes; short term energy management and power prediction of several steel and base metal plants; scheduling of the operation of a steel plant and modelling the evolution of steel temperature in a continuous easter tundish. In different parts of this project some popular expert system shells, hypertext, object oriented programming, rapid prototyping, fuzzy modelling and artificial neural nets have been applied among more conventional programming techniques. In all these applications prototype systems have been completed and now outside the project several production versions are under development. This is the final report of the project. The project and its results are described. The experience is discussed and applications for future research suggested}
place = {Finland}
year = {1993}
month = {Dec}
}