A system of interrelated mathematical models of the basic blast-furnace processes has been proposed for the solution of specific problems in smelting hot metal. On the basis of modern physicochemical concepts, methods have been developed for taking account of the mutual influence of the thermal state, the slag conditions, the distribution of the batch fluxes over the furnace cross sections, and the gas-dynamic parameters of smelting. The models are developed on the basis of three fundamental principles enhancing the resistance to interference: on the concept of supported perturbed motion; on the use of models of variable structure; and on the inclusion of redundant components and logical structures for group analysis of the data. This permits the derivation of reliable estimates from noisy information on blast-furnace operation. The system developed is implemented as software based on up-to-date information technologies.
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