Above burden & in burden probe data interpretation by neural network based model to improve blast furnace control

Objectif

The objective of the present proposal is to investigate the application of fuzzy logic and neural network-based systems for control of iron-making processes. Such objective relates in particular to control blast furnace parameters, such as data supplied by the above burden probes as well as advisory systems that aid in recognition of the relationships between these sensing devices and cohesive zone shape, burden materials, top level temperature distribution and other factors with an aim to optimise their use for the process control.

Programme(s)

ECSC-STEEL C - Medium-term guidelines for the ECSC steel RTD programme of research and pilot/demonstration projects, 1996-2002

Thème(s)

B - Reduction of iron ores

Appel à propositions

Data not available

Régime de financement

CSC - Cost-sharing contracts

Coordinateur

CENTRO NACIONAL DE INVESTIGACIONES METALURGICAS

Contribution de l’UE

Aucune donnée

Adresse

Avenida Gregorio del Amo 8
28040 MADRID
Espagne

Coût total

Aucune donnée

Participants (4)

ACERALIA CORPORACION SIDERURGICA

Espagne

Contribution de l’UE

Aucune donnée

Adresse

Centro de Desarrollo Tecnológico Apartado 90
33480 AVILES

Coût total

Aucune donnée

CENTRO SVILUPPO MATERIALI SPA

Italie

Contribution de l’UE

Aucune donnée

Adresse

Via di Castel Romano 100/102
00128 ROMA EUR

Coût total

Aucune donnée

Dillinger Hüttenwerke AG

Allemagne

Contribution de l’UE

Aucune donnée

RAUTARUUKKI OYJ, CORPORATE R & D

Finlande

Contribution de l’UE

Aucune donnée

Objectif

Programme(s)

Thème(s)

Appel à propositions

Régime de financement

Coordinateur

Participants (4)

Partager cette page

Télécharger