Skip to main content
SpringerLink
Log in

Scientific Problems in Creating Intelligent Control Systems for Technological Processes in Pyrometallurgy Based on Industry 4.0 Concept

  • Published:
Metallurgist Aims and scope

This article discusses the main application fields of the Industry 4.0 concept at the Magnitogorsk Iron and Steel Company (MMK); this concept enables creating a unified information foundation for implementing a set of measures to optimize and improve the efficiency of individual units, workshops, industries, and the overall enterprise. For the blast furnace iron-making process, this concept involves the intellectualization of the process personnel’s tasks, provision of solutions to modeling problems, process flow optimization, and implementation of decision-making support systems in production processes automation and control. Using the methodology of system research, the Ural Federal University (UrFU) and Magnitogorsk Iron and Steel Works (MMK) improved the model of the blast furnace process and significantly expanded its practical capabilities; they accomplished such an improvement by considering the thermal mode, gas-dynamic mode, blasting mode, slag mode, available information on the blast furnace operation, and the uneven distribution of materials and gases. Software development using contemporary digital technologies has resulted in the creation of an automated system for analyzing and forecasting blast furnace production situations in the MMK, and this enables solving a set of technological problems for the management of blast furnace smelting.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1.

Similar content being viewed by others

References

  1. L. S. Kazarinov and T. A. Barbasova, “Elliptic component analysis,” in: Second International Conf. on Industrial Engineering, Applications and Manufacturing, ICIEAM, Proc. 7910936 (2016); https://doi.org/10.1109/ICIEAM.2016.7910936.

  2. D. A. Shnayder, L. S. Kazarinov, T. A. Barbasova, and A. V. Lipatnikov, “Data mining and model-predictive approach for blast furnace thermal control,” in: Intelligent Systems Conference, September 7–8, 2017, London, UK (2017), pp. 653–660.

  3. Yu. S. Yusfin, Cast Iron Metallurgy [in Russian], ICC Academkniga, Moscow (2004).

  4. A. N. Ramm, The Modern Blast-Furnace Smelting Operation [in Russian], Metallurgy, Moscow (1980).

  5. B. I. Kitaev, Yu. G. Yaroshenko, and B. D. Lazarev, Heat Transfer in a Blast Furnace [in Russian], Metallurgy, Moscow (1966).

  6. I. G. Tovarovsky, Blast Furnace Smelting [in Russian], Porogi, Dnepropetrovsk (2009).

  7. V. I. Bolshakov, Technology of Highly Efficient Energy-Saving Blast Furnace Smelting [in Russian], Naukova Dumka, Kiev (2007).

  8. V. N. Andronov, Extraction of Ferrous Metals from Natural and Industry-Related Raw Materials. Blast-Furnace Smelting Operation [in Russian], NordPress, Donetsk (2009).

  9. N. N. Babarykin, Theory and Technology of the Blast-Furnace Process [in Russian], MSTU, Magnitogorsk (2009).

  10. V. A. Dobroskok, N. A. Kuznetsov, and A. I. Tumanov, “Mathematical models of gas dynamics and reduction processes in a blast furnace,” Izv. Vyssh. Ucheb. Zav. Chern. Metallurg., No. 3, 145–146 (1985).

  11. A. N. Dmitriev, Mathematical Modeling of the Blast-Furnace Process [in Russian], Ural branch of the Russian Academy of Sciences, Yekaterinburg (2011).

  12. A. V. Chentsov, Yu. A. Chesnokov, and S. V. Shavrin, Balanced Logical Statistical Model of the Blast-Furnace Process [in Russian], Nauka, Moscow (1991).

  13. S. V. Emelyanov, S. K. Korovin, L. P. Myshlyaev, A. S. Rykov, and V. F. Evtushenko, The Theory and Practice of Forecasting in Management Systems [in Russian], Rossiyskiye universitety, Moscow (2008).

  14. L. P. Myshlyaev and V. F. Evtushenko, Forecasting in Management Systems [in Russian], Siberian State Industrial University, Novokuznetsk (2002).

  15. N. A. Spirin, Yu. V. Ipatov, V. I. Lobanov, V. A. Krasnobaev, V. V. Lavrov, V. Yu. Rybolovlev, V. S. Shvydky, S. A. Zagainov, and O. P. Onorin, Information Systems in Metallurgy [in Russian], N. A. Spirin (editor), Ural State Technical University – Ural Polytechnic Institute, Yekaterinburg (2001).

  16. O. P. Onorin, N. A. Spirin, V. L. Terentyev, L. Yu. Gilev, V. Yu. Rybolovlev, I. E. Kosachenko, V. V. Lavrov, and A. V. Terentyev, Computer Methods for Modeling a Blast-Furnace Process [in Russian], N. A. Spirin (editor), Ural State Technical University – Ural Polytechnic Institute, Yekaterinburg (2005).

  17. A. V. Pavlov, A. A. Polinov, N. A. Spirin, O. P. Onorin, and V. V. Lavrov, “Use of model systems for solving new technological problems in blast-furnace production,” Metallurg, 61, No. 5–6, 448–454 (2017).

  18. N. A. Spirin, V. V. Lavrov, V. Yu. Rybolovlev, et al., Mathematical Modeling of Metallurgical Processes in ACS TP [in Russian], ed. N.A.Spirin, UINTS LLC, Yekaterinburg (2014).

  19. N. A. Spirin, V. V. Lavrov, V. Yu. Rybolovlev, et al., Model Decision Making Support Systems in ACS TP of Blast Furnace Smelting [in Russian], N. A. Spirin (editor), Ural State Technical University, Yekaterinburg (2011).

  20. S. A. Zagainov, O. P. Onorin, and L. Yu. Gileva, “Development and implementation of mathematical and software for flexible technological modes of blast furnaces,” Stal’, No. 9, 12–15 (2000).

  21. V. I. Soloviev, V. A. Krasnobaev, Yu. A. Sarapulov, and E. A. Pavlov, “Expert system for diagnosing and modulation of a blast furnace operation,” on: Theory and Practice of Cast Iron Production: Proceedings of an International Scientific and Technical Conference, Krivoy Rog: Publishing house of the Krivoy Rog Technical University (2004), pp. 484–487.

  22. A. S. Istomin, N. A. Spirin, O. P. Onorin, A. V. Pavlov, and I. A. Gurin, “Development of an information logical system for recognizing the type of deviation of blast-furnace smelting from normal mode,” Izv. Vyssh. Ucheb. Zav. Chern. Metallurg., No. 8 (58), 607–611 (2015).

  23. V. B. Trofimov, “Automated expert systems in management of a blast-furnace process,” Metallurg, No. 1, 17–24 (2020).

  24. I. G. Muravyova, D. N. Togobitskaya, A. S. Nesterov, and N. G. Ivancha, “A new level of smelting control in the development of the human-machine interface,” Chern. Metallurg. Bull. Nauch.-techn. Econom. Informatsii (BNTiEI), 75, No. 11, 1231–1236 (2019).

    Google Scholar 

  25. O. P. Onorin, N. A. Spirin, A. S. Istomin, V. V. Lavrov, and A. V. Pavlov, “Features of blast furnace transient processes,” Metallurg, 61, No. 1–2, 121–126 (2017).

    Article  Google Scholar 

  26. N. A. Spirin, A. A. Polinov, I. A. Gurin, V. A. Beginyuk, S. N. Pishnograev, and A. S. Istomin, “Information system for real-time prediction of the silicon content of iron in a blast furnace,” Metallurg, 63, No. 9–10, 898–905 (2020).

    Article  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Ural Federal University named after the first President of Russia B. N. Yeltsin, Yekaterinburg, Russia

    N. A. Spirin, V. V. Lavrov & I. A. Gurin

  2. Magnitogorsk Iron and Steel Works, Magnitogorsk, Russia

    V. Yu. Rybolovlev, D. A. Schnayder & A. V. Krasnobaev

Authors
  1. N. A. Spirin
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. V. Yu. Rybolovlev
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. V. V. Lavrov
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. I. A. Gurin
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. D. A. Schnayder
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. A. V. Krasnobaev
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to N. A. Spirin.

Additional information

Translated from Metallurg, Vol. 64, No. 5, pp. 71–76, June, 2020.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Spirin, N.A., Rybolovlev, V.Y., Lavrov, V.V. et al. Scientific Problems in Creating Intelligent Control Systems for Technological Processes in Pyrometallurgy Based on Industry 4.0 Concept. Metallurgist 64, 574–580 (2020). https://doi.org/10.1007/s11015-020-01029-1

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11015-020-01029-1

Keywords

Search

Navigation