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Аннотация. Рассмотрены требования, структура и архитектура АРМ «Технолог доменного цеха» компьютерной системы поддержки принятия решений MES-уровня, внедренной в АСУП доменного производства ОАО «Магнитогорский металлургический комбинат». Представлено краткое описание основных модельных подсистем, а также допущения, принятые в процессе математического моделирования. Использование разработанной системы позволяет инженерно-технологическому персоналу оперативно проводить анализ производственных ситуаций доменного цеха, решать ряд технологических задач по управлению тепловым, газодинамическим и шлаковым режимами доменной плавки, а также производить расчет оптимального состава доменной шихты, что в конечном итоге обеспечивает повышение технико-экономических показателей работы доменного производства. Ключевые слова: доменное производство, автоматизированная система управления производством, MES-система, анализ производственных ситуаций, решение технологических задач.

Large Russian metallurgical enterprises are increasingly using algorithms and software as part of manufacturing execution systems (MES). This calls for the development of specialized information and simulation software that takes account of the physics of metallurgical processes, the principles of mass and heat transfer theory, and the law of energy conserva tion and also of the influence of the raw materials on the process [1,2]. Integration of this software with existing corporate systems and production systems is of the greatest importance.Blast furnace performance is largely determined by the viscoplastic state of the iron ore. The shape and position of the plastic zone within the blast furnace depends on factors such as the ore distribution over the furnace cross section and the viscoplastic characteris tics of the iron ore: the initial viscoplastic temperature and the melting point (the temperature at which slag melt appears). The productivity is greatest with the best shape and smallest thickness of the plastic zone and also with good melt filtration into the zone below the plastic zone [3,4].Despite new means of determining the position of the plastic zone in the blast furnace-including math ematical simulation [5][6][7][8][9][10][11][12]-it is important to create ongoing monitoring and analysis of its position in the course of smelting.The familiar principle of perturbed-unperturbed motion is used in developing a mathematical model for the information and simulation system used in cal culating the heat transfer processes and assessing the parameters of the viscoplastic zone in the iron ore [13]. We may divide the model of the blast furnace process into two parts: the model of the baseline state and a predictive model. The model of the baseline state permits assessment of the state of the process by means of mean characteristics for the baseline period of furnace operation. The predictive model employs the results from the model of the baseline state to assess the blast furnace characteristics with change in the smelting conditions. This principle was success fully used earlier in simulating the thermal, blast, gas dynamic, and slag conditions of smelting [1,2].Since the mathematical model of the position and configuration of the viscoplastic zone in the iron ore is too complex to permit easy derivation of a subsystem in software form, we must resort to functional model ing, with detailed development of the specifications for the individual model components [14].Functional modeling is based on the IDEF0 stan dard (Integrated computer aided manufacturing Def inition), which is a development of the SADT method (Structural Analysis and Design Technique) [14]. The IDEF0 procedure permits the creation of a functional structure for the information and simulation system, the identification of productive actions and the rela tion between those actions, and the mechanisms by which each function is performed. This approach per mits the prevention of possible errors at an early stage of design. For this purpose, we...

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