Information-modeling system for prediction of the composition and properties of final slag in a blast furnace in real time
Электронный научный архив УРФУ
Информация об архиве | Просмотр оригинала| Поле | Значение | |
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Information-modeling system for prediction of the composition and properties of final slag in a blast furnace in real time
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| Автор |
Pavlov, A. V.
Spirin, N. A. Gurin, I. A. Lavrov, V. V. Beginyuk, V. A. Istomin, A. S. |
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| Тематика |
BLAST FURNACE
COMPOSITION DYNAMIC MODEL FINAL SLAG MODELING PREDICTION PROPERTIES SLAG-FORMING PROCESSES SOFTWARE |
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| Описание |
The article considers general characteristics of the algorithm for prediction of the composition of the final slag in a blast furnace in real time. This algorithm is based on fundamental knowledge on the processes occurring in the furnace and general laws of transient processes. It allows predicting at the current moment of time and for every hour ten hours ahead. A linearized model of the blast furnace process and a natural-mathematical approach are used. The model takes into account the dynamic characteristics of blast furnaces in various impact channels, which change and depend on the type of impact, operating parameters of the furnaces and properties of the melted raw material. This makes it possible to adjust the model to operating conditions of the object, to take into account changes in the composition and properties of iron ore and coke, blast and regime parameters of blast furnace smelting when modeling. The software of the information-modeling system for prediction of the composition and properties of the final slag in a blast furnace in real time was developed in the C# programming language based on the ASP. NET MVC framework using the .NET 5 cross-platform. The web application includes the following main functions: visualization of change APCS parameters and design parameters over time; slag mode diagnostics; modeling of transient processes of composition and properties of slag; prediction of slag composition and properties in real time and prediction history. The software architecture is described and its operation is illustrated. An assessment of the accuracy and reliability of the simulation results based on statistical indicators was carried out. The root-mean-square deviation of the predicted basicity of the CaO/SiO2 slag from that measured at taps is 0.023, the prediction reliability is 92 %, which indicates a satisfactory agreement between the predicted and actual values of the content of individual components in the slag. The information modeling system developed on the basis of the presented algorithm is integrated into the information system of the blast furnace shop of PJSC Magnitogorsk Iron and Steel Works. © 2023 National University of Science and Technology MISIS. All rights reserved.
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| Дата |
2024-04-05T16:25:58Z
2024-04-05T16:25:58Z 2023 |
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| Тип |
Article
Journal article (info:eu-repo/semantics/article) |info:eu-repo/semantics/publishedVersion |
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| Идентификатор |
Павлов, АВ, Спирин, НА, Гурин, ИА, Лавров, ВВ, Бегинюк, ВА & Истомин, АС 2023, 'Информационномоделирующая система прогнозирования состава и свойств конечного шлака в доменной печи в режиме реального времени', Известия высших учебных заведений. Черная металлургия, Том. 66, № 2, стр. 244-252. https://doi.org/10.17073/0368-0797-2023-2-244-252
Павлов, А. В., Спирин, Н. А., Гурин, И. А., Лавров, В. В., Бегинюк, В. А., & Истомин, А. С. (2023). Информационномоделирующая система прогнозирования состава и свойств конечного шлака в доменной печи в режиме реального времени. Известия высших учебных заведений. Черная металлургия, 66(2), 244-252. https://doi.org/10.17073/0368-0797-2023-2-244-252 0368-0797 Final All Open Access, Hybrid Gold https://www.scopus.com/inward/record.uri?eid=2-s2.0-85162241501&doi=10.17073%2f0368-0797-2023-2-244-252&partnerID=40&md5=0979e36f1a882858e62c663d0aaffcff https://fermet.misis.ru/jour/article/download/2521/1795 http://elar.urfu.ru/handle/10995/130564 52992825 10.17073/0368-0797-2023-2-244-252 85162241501 |
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| Язык |
ru
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| Права |
Open access (info:eu-repo/semantics/openAccess)
cc-by https://creativecommons.org/licenses/by/4.0/ |
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| Формат |
application/pdf
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| Издатель |
National University of Science and Technology MISIS
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| Источник |
Izvestiya. Ferrous Metallurgy
Izvestiya Ferrous Metallurgy |
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