Soft-sensing Method of Gas Flow Distribution of Blast Furnace Burden Surface Based on Multi-level Hierarchical Fusion Algorithm

An, Jianqi; Wu, Min; He, Yong; Cao, Weihua

doi:10.3724/sp.j.1004.2011.00496

Cited by 3 publications

(1 citation statement)

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“…But it is difficult to detect the ROC directly. The scholars utilize the indirect information such as charging system, temperature, gas composition, the shape of cohesive zone and so on to get the useful information in the BF [1][2][3][4] . The expert system has been used to solve the problem of burden control in BF [5][6] .…”

Section: Introductionmentioning

confidence: 99%

Burden distribution control based on adaptive genetic algorithm in bell-less blast furnace

Zhu

Yin

Cheng

et al. 2014

Proceedings of the 33rd Chinese Control Conference

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The proper control of the ratio of ore to coke distribution (ROCD) can achieve energy saving of the blast furnace (BF). In order to achieve the desired ROCD, it is meaningful to search best charging system (especially the burden matrix). This paper deals with the problem of burden distribution control based on the adaptive genetic algorithm and multi-radar data. Firstly, the definition of the ratio of ore to coke (ROC) and the desired ROCD are given. Secondly, according to the desired ROCD, the concrete steps of searching the best burden matrices are presented based on the adaptive genetic algorithm. Then, the operators of the adaptive genetic algorithm (especially the mutation operator) are properly adjusted, according to the actual production process of the bell-less BF. Finally, three computational experiments demonstrate the effectiveness of the method.

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Section: Introductionmentioning

confidence: 99%