An Architecture for On-Line Intelligent Control of Blast Furnaces
Javier Tuya, Eugenia Díaz, Marta Hermida, José A. López-Brugos, Angel Neira,
Alfredo Alguero, Faustino Obeso
In: 2nd International Conference on
Enterprise Information Systems, Stafford, England, Julio 2000
(ps.zip)
Abstract
This paper describes an expert system for the on-line diagnosis of
blast-furnaces. The system monitors and takes the decisions through the
analysis and evaluation of more than a hundred parameters considered as input
variables. The main difference between the system proposed here and a classical
diagnostic system is the coexistence of three different models of behaviour:
one based on a theoretical model of behaviour of thermal status and
permeability, a second empirical model based on the considerations given by the
human experts, and a third model derived from the study of the real behaviour
observed in the furnace over time, obtained by means of the study of historical
files, using machine learning techniques.
Index - Testing
- Personal Page