Principles of the Development and Introduction of an Automated Process Control System for Blast-Furnace Smelting at the Magnitogorsk Metallurgical Combine
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 co...
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Veröffentlicht in: | Metallurgist (New York) 2015-11, Vol.59 (7-8), p.653-658 |
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creator | Rybolovlev, V. Yu Krasnobaev, A. V. Spirin, N. A. Lavrov, V. V. |
description | 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. |
doi_str_mv | 10.1007/s11015-015-0154-x |
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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.</description><identifier>ISSN: 0026-0894</identifier><identifier>EISSN: 1573-8892</identifier><identifier>DOI: 10.1007/s11015-015-0154-x</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Characterization and Evaluation of Materials ; Chemistry and Materials Science ; Coke industry ; Control systems ; Decision making ; Materials Science ; Metallic Materials ; Process control equipment ; Technology application</subject><ispartof>Metallurgist (New York), 2015-11, Vol.59 (7-8), p.653-658</ispartof><rights>Springer Science+Business Media New York 2015</rights><rights>COPYRIGHT 2015 Springer</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c397t-c7935a1bf493a2982f3b7b2e7d18c8b0fff63dfe1091b3e4d2056e0e92ec56f03</citedby><cites>FETCH-LOGICAL-c397t-c7935a1bf493a2982f3b7b2e7d18c8b0fff63dfe1091b3e4d2056e0e92ec56f03</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11015-015-0154-x$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11015-015-0154-x$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,777,781,27905,27906,41469,42538,51300</link.rule.ids></links><search><creatorcontrib>Rybolovlev, V. 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subjects | Characterization and Evaluation of Materials Chemistry and Materials Science Coke industry Control systems Decision making Materials Science Metallic Materials Process control equipment Technology application |
title | Principles of the Development and Introduction of an Automated Process Control System for Blast-Furnace Smelting at the Magnitogorsk Metallurgical Combine |
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