Automated information system for analysis and prediction of production situations in blast furnace plant / Lavrov V. V.,Spirin N. A. // . - 2016. - V. 150, l. .

ISSN/EISSN:

1757-8981 / нет данных

Type:

Proceedings Paper

Abstract:

Advances in modern science and technology are inherently connected with the development, implementation, and widespread use of computer systems based on mathematical modeling. Algorithms and computer systems are gaining practical significance solving a range of process tasks in metallurgy of MES-level (Manufacturing Execution Systems - systems controlling industrial process) of modern automated information systems at the largest iron and steel enterprises in Russia. This fact determines the necessity to develop information-modeling systems based on mathematical models that will take into account the physics of the process, the basics of heat and mass exchange, the laws of energy conservation, and also the peculiarities of the impact of technological and standard characteristics of raw materials on the manufacturing process data. Special attention in this set of operations for metallurgic production is devoted to blast-furnace production, as it consumes the greatest amount of energy, up to 50\% of the fuel used in ferrous metallurgy. The paper deals with the requirements, structure and architecture of BF Process Engineer's Automated Workstation (AWS), a computer decision support system of MES Level implemented in the ICS of the Blast Furnace Plant at Magnitogorsk Iron and Steel Works. It presents a brief description of main model subsystems as well as assumptions made in the process of mathematical modelling. Application of the developed system allows the engineering and process staff to analyze online production situations in the blast furnace plant, to solve a number of process tasks related to control of heat, gas dynamics and slag conditions of blast-furnace smelting as well as to calculate the optimal composition of blast-furnace slag, which eventually results in increasing technical and economic performance of blast-furnace production.

Author keywords:

нет данных

DOI:

10.1088/1757-899X/150/1/012010

Web of Science ID:

ISI:000390935100010

Соавторы в МНС:

Другие поля

Поле	Значение
Book-Group-Author	IOP
Booktitle	XIX INTERNATIONAL SCIENTIFIC CONFERENCE ON METALLURGY: TECHNOLOGIES, INNOVATION, QUALITY (METALLURGY2015)
Series	IOP Conference Series-Materials Science and Engineering
Note	19th International Scientific Conference on Metallurgy - Technologies, Innovation, Quality (Metallurgy), Novokuznetsk, RUSSIA, DEC 15-16, 2015
Publisher	IOP PUBLISHING LTD
Address	DIRAC HOUSE, TEMPLE BACK, BRISTOL BS1 6BE, ENGLAND
Language	English
Article-Number	UNSP 012010
Research-Areas	Metallurgy \& Metallurgical Engineering
Web-of-Science-Categories	Metallurgy \& Metallurgical Engineering
Author-Email	spirin@urfu.ru
ResearcherID-Numbers	Spirin, Nikolay/L-6967-2016
Number-of-Cited-References	10
Usage-Count-Last-180-days	1
Usage-Count-Since-2013	3
Doc-Delivery-Number	BG6XP