Abstract
The burden charging operation in blast furnace is one of the most important operations during iron-making process. In this paper, we focus on the study of precise burden charging operation, which involves two aspects: How to obtain and form the optimal burden surface shape. For the first problem, we construct a mapping model between the burden surface characteristic parameters and the comprehensive operational performance indicators of the blast furnace, and transform the search of optimal burden surface shape into the target optimization problem. The second problem refers to establishing a suitable burden charging strategy based on the basic burden surface and the optimal burden surface. In our work, by adaptively adjusting the opening degree of the throttle valve, it is possible to control accurate burden volume during the rotation of the charging chute, which can make sure to spill the appropriate burden volume on the suitable charging units. In the simulation of experiments, we collected the real industrial data during iron-making process and demonstrated the efficiency of the proposed model.
Highlights
The iron and steel industry is a pillar industry of the national economy in China, of which the ironmaking process in blast furnace is the most important component
The iron-making production in Blast furnace (BF) is an extremely complex industrial process, in which the charging operation plays an important role in high-quality development
A general precise burden charging strategy is proposed. It can realize the optimal burden surface shape by adaptively adjusting the opening degree of the throttle valve on the basic burden surface, where the optimal burden surface can be obtained through the index optimizing strategy
Summary
The iron and steel industry is a pillar industry of the national economy in China, of which the ironmaking process in blast furnace is the most important component. It is reasonable to transform the search of optimal burden surface shape into the multi-objective optimization problem of comprehensive operational performance indicators in BF production. The multi-objective optimization problem of iron-making process in BF has drawn attention of the research in industry and academia. (2) There exists great differences for the volume, production time, operating habit et al in different BFs. the optimal burden surface shape is not unique. (3) There are various operating statuses during iron-making process in BF It should set different optimal burden shapes for different production statuses. Our work opens up a new idea for the smart production of iron-making process in BF More details about these two innovations are as follows. The paper is organized as follows: Section II presents the optimal model for burden surface, including the introduction of ELM algorithm and the DE optimization method.
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