Principles of the Development and Introduction of an Automated Process Control System for Blast-Furnace Smelting at the Magnitogorsk Metallurgical Combine / Rybolovlev V. Yu.,Krasnobaev A. V.,Spirin N. A.,Lavrov V. V. // METALLURGIST. - 2015. - V. 59, l. 7-8. - P. 653-658.

ISSN/EISSN:

0026-0894 / 1573-8892

Type:

Article

Abstract:

The principles of construction and the architecture of an automated system for controlling blast-furnace smelting are examined. A block diagram of a hardware-software complex developed for a blast furnace is presented along with scheme for integrating the furnace control system into the corporate control system at the factory. The system that has been developed creates a single informational-technological and control space that is closely linked to other information systems at the factory - especially the systems of the subdivisions whose performance has the greatest impact on the quality of the pig iron: the shop that prepares the sintering-machine charges, the sinter shop, the coke and coal chemicals plant, the BOF shop, the rail transport facility, the oxygen-plant/compressor station, and others. The main functional capabilities of the software are realized in the form of a model system that supports decision-making. This system is based on a group of mathematical models that solve various problems related to blast-furnace smelting. Users of the system can obtain missing information which is needed to make a decision by engaging in a dialog with the mathematical model. The results that have been obtained from using the informational-modeling system have improved response time and performance in the analysis, prediction, and planning of production situations, which in turn has improved decision-making by engineers and technicians when there are fluctuations in the composition and quality of the iron-ore-bearing materials being smelted in the furnaces and changes in the market conditions.

Author keywords:

automated control system for blast-furnace smelting; integration of control systems; model system for support of decision-making

DOI:

10.1007/s11015-015-0154-x

Web of Science ID:

ISI:000366156200015

Соавторы в МНС:

Другие поля

Поле	Значение
Month	NOV
Publisher	SPRINGER
Address	233 SPRING ST, NEW YORK, NY 10013 USA
Language	English
EISSN	1573-8892
Research-Areas	Metallurgy \& Metallurgical Engineering
Web-of-Science-Categories	Metallurgy \& Metallurgical Engineering
Author-Email	fisher@mmk.ru n.a.spirin@urfu.ru
ResearcherID-Numbers	Spirin, Nikolay/L-6967-2016
Number-of-Cited-References	14
Usage-Count-Since-2013	10
Journal-ISO	Metallurgist
Doc-Delivery-Number	CY1HB