Information modeling system for blast furnace control / Spirin N. A.,Gileva L. Y.,Lavrov V. V. // . - 2016. - V. 150, l. .

ISSN/EISSN:
1757-8981 / нет данных
Type:
Proceedings Paper
Abstract:
Modern Iron \& Steel Works as a rule are equipped with powerful distributed control systems (DCS) and databases. Implementation of DSC system solves the problem of storage, control, protection, entry, editing and retrieving of information as well as generation of required reporting data. The most advanced and promising approach is to use decision support information technologies based on a complex of mathematical models. The model decision support system for control of blast furnace smelting is designed and operated. The basis of the model system is a complex of mathematical models created using the principle of natural mathematical modeling. This principle provides for construction of mathematical models of two levels. The first level model is a basic state model which makes it possible to assess the vector of system parameters using field data and blast furnace operation results. It is also used to calculate the adjustment (adaptation) coefficients of the predictive block of the system. The second-level model is a predictive model designed to assess the design parameters of the blast furnace process when there are changes in melting conditions relative to its current state. Tasks for which software is developed are described. Characteristics of the main subsystems of the blast furnace process as an object of modeling and control - thermal state of the furnace, blast, gas dynamic and slag conditions of blast furnace smelting - are presented.
Author keywords:
нет данных
DOI:
10.1088/1757-899X/150/1/012011
Web of Science ID:
ISI:000390935100011
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 012011
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 13
Usage-Count-Last-180-days 1
Usage-Count-Since-2013 2
Doc-Delivery-Number BG6XP