Computer System for Production Control of a Blast Furnace

The functional capabilities, methodological foundations and information software of a modernized computer system for controlling the slag regime of blast furnace smelting, developed at the Institute of Ferrous Metallurgy on the basis of fundamental principles in the physicochemical and mathematical modeling of metallurgical melts and systems based on the concept of directional chemical bonding, are considered. The system provides a predictive calculation of the complex of technological properties of the final blast furnace slag: viscosity, melting points, enthalpy, and desorption capacity. Operational assessment of the slag regime using the Slag system as part of the process control system allows efficiently and up-to-date solving the problems of optimizing the slag regime and pig iron quality under unstable blast furnace conditions

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Data Mining in Blast Furnace Smelting Parameter

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.303-306.1093 ◽

2013 ◽

Vol 303-306 ◽

pp. 1093-1096

Author(s):

Fu Xing Yu ◽

Yi Na Suo ◽

Xin Zhang ◽

Ai Ding Yan ◽

Fu Long Liu

Keyword(s):

Data Mining ◽

Blast Furnace ◽

Clustering Analysis ◽

Production Control ◽

Furnace Operation ◽

Cluster Number ◽

Blast Furnace Smelting ◽

Blast Furnace Production ◽

Field Assessment ◽

The Difference

In this paper, data mining methods are used in the blast furnace production control . firstly introduces some main clustering algorithms.Then clustering analysis of blast furnace operation parameters is carried out by K-Means Clustering. Analysis and comparison of practical data is conducted to determine the optimal cluster number of this algorithm for blast furnace parameters analysis, and thus yield the ideal operating value for the parameters. The optimal threshold for blast furnace parameters is determined through statistical analysis, repeated experiments and field assessment, and the difference between blast furnace state as estimated and the practical one analyzed. Finally, the factor analysis method to reduce the dimension of parameters. Mining test in data of tangshan iron&steel shows that the method is effective in practical application.

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Some Recent Results in Quiescent Prominence Spectrometry

International Astronomical Union Colloquium ◽

10.1017/s0252921100065179 ◽

1979 ◽

Vol 44 ◽

pp. 41-47

Author(s):

Donald A. Landman

Keyword(s):

Real Time ◽

Computer System ◽

Spectral Response ◽

Absolute Intensity ◽

Solar Observatory ◽

Target Size ◽

Small Target ◽

Signal Averaging ◽

Quiescent Prominence

This paper describes some recent results of our quiescent prominence spectrometry program at the Mees Solar Observatory on Haleakala. The observations were made with the 25 cm coronagraph/coudé spectrograph system using a silicon vidicon detector. This detector consists of 500 contiguous channels covering approximately 6 or 80 Å, depending on the grating used. The instrument is interfaced to the Observatory’s PDP 11/45 computer system, and has the important advantages of wide spectral response, linearity and signal-averaging with real-time display. Its principal drawback is the relatively small target size. For the present work, the aperture was about 3″ × 5″. Absolute intensity calibrations were made by measuring quiet regions near sun center.

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