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2022 | OriginalPaper | Buchkapitel

Model-Based Decision Support System for the Blast Furnace Charge of Burden Materials

verfasst von : Yevhen Shumelchyk, Yurii Semenov, Viktor Horupakha, Pavlo Krot, Iryna Hulina

Erschienen in: Nonstationary Systems: Theory and Applications

Verlag: Springer International Publishing

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Abstract

The development and implementation are described of the model-based decision support system for selecting and correcting the possible charging programs of a blast furnace, working in non-stationary regimes. The verification of the adequacy of the calculated charging parameters obtained by the modelling system is performed using the information of the modern control facilities. The model-based decision support system allows technical personnel to make the right decisions about blast furnace charging modes and burden materials volumes. Among other useful functions is also the training technological personnel in conditions of mastering a new top charging apparatus. Using the system during the operation of the blast furnace since 2012, charging programs were developed and implemented: when using a various composition of charge materials as well as using natural gas and pulverized coal in the air blast. The developed charging programs have provided increased economic effect and high technical parameters of blast furnace operation.

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Vorheriges Kapitel The Use of Signal Intensity Estimator for Monitoring Real World Non-stationary Data

Nächstes Kapitel Optimization of the Vibrating Machines with Adjustable Frequency Characteristics

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Titel: Model-Based Decision Support System for the Blast Furnace Charge of Burden Materials
verfasst von: Yevhen Shumelchyk
Yurii Semenov
Viktor Horupakha
Pavlo Krot
Iryna Hulina
Verlag: Springer International Publishing
Buch: Nonstationary Systems: Theory and Applications
Print ISBN: 978-3-030-82191-3

Electronic ISBN: 978-3-030-82110-4

Copyright-Jahr: 2022
DOI: https://doi.org/10.1007/978-3-030-82110-4_18

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