Control of Blast Furnace Filling Based on Cluster Analysis of Burden Surface Temperature

  • 4 Accesses


The cluster analysis of burden surface temperature and plotting graphs, in which nodes are predicted states and edges are a type and weight of filled materials, is a control tool of the blast furnace operation. The control of material charge aiming for a high efficiency of furnace operation (high yield of cast iron, t/day, low specific energy consumption) is maintained by predicted adjustments of weight or filling frequency on the basis of cycles in graphs with the highest ore charge. The proposed control methods make it possible to maintain efficient operation modes of furnace, to increase ore charges, and to decrease specific coke consumption by 4%.

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

Access options

Buy single article

Instant unlimited access to the full article PDF.

US$ 39.95

Price includes VAT for USA

Fig. 1.
Fig. 2.
Fig. 3.
Fig. 4.
Fig. 5.


  1. 1

    Bol’shakov, V.I., Lebed’, V.V., and Zherebetskii, A.A., Using modern control devices to regulate the radial distribution of the charge in the blast furnace, Fundam. Prikl. Probl. Chern. Metall., 2010, no. 21, pp. 53–66.

  2. 2

    Dal’skii, A.M. and Barsukov, T.M., Tekhnologiya konstruktsionnykh materialov (Technology of Construction Materials), Moscow: Mashinostroenie, 2003, p. 31.

  3. 3

    Lavrukhin, A.I. and Selyanichev, O.L., Analysis of the surface temperature of the stockline as an element of the decision support system for control of a blast furnace, Vestn. Cherepovetsk. Gos. Univ., 2018, no. 6 (87), pp. 10–18.

  4. 4

    Lavrukhin, A.I. and Selyanichev, O.L., Geometric model of a thermal imaging of the surface of the stockline for the blast furnace, Vestn. Cherepovetsk. Gos. Univ., 2017, no. 1, pp. 48–55.

  5. 5

    Lavrukhin, A.I. and Selyanichev, O.L., Thermogram of concentric discharge rings from a blast furnace in global practice, Materialy II Vserossiiskoi nauchno-prakticheskoi konferentsii “ICITY 2015: Informatizatsiya promyshlennogo goroda” (Proc. II All-Russ. Sci.-Pract. Conf. “ICITY 2015: Informatization of Industrial City”), Cherepovets: Cherepovetsk. Gos. Univ., 2016, pp. 202–204.

  6. 6

    Lavrukhin, A.I. and Khinskii, L.D., Automated system for thermal imaging monitoring of the state of the distribution tray of a coneless loading device and the surface temperature of the stockline at the mouth of blast-furnace no. 5 of the Cherepovets Metallurgical Plant (Severstal Company), Chern. Metall., Byull. Nauchno-Tekh. Ekon. Inf., 2016, no. 4 (1396), pp. 35–37.

  7. 7

    McLachlan, G., Discriminant Analysis and Statistical Pattern Recognition, New York: Willey, 2004.

  8. 8

    De Amorim, R.C. and Henning, C. Recovering the number of clusters in data sets with noise features using features rescaling factors, Inf. Sci., 2015, vol. 324, pp. 126–145.

Download references

Author information

Correspondence to O. L. Selyanichev.

Additional information

Translated by I. Moshkin

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Ershov, E.V., Selyanichev, O.L. & Lavrukhin, A.I. Control of Blast Furnace Filling Based on Cluster Analysis of Burden Surface Temperature. Steel Transl. 49, 618–621 (2019) doi:10.3103/S0967091219090043

Download citation


  • blast furnace
  • burden surface temperature
  • cluster analysis