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Contenuto archiviato il 2022-11-21

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

Obiettivo

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.

Invito a presentare proposte

Data not available

Meccanismo di finanziamento

CSC - Cost-sharing contracts

Coordinatore

CENTRO NACIONAL DE INVESTIGACIONES METALURGICAS
Contributo UE
Nessun dato
Indirizzo
Avenida Gregorio del Amo 8
28040 MADRID
Spagna

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Costo totale
Nessun dato

Partecipanti (4)