Journal of University of Science and Technology Beijing. 2014, (01) Core

Blast furnace line shape measurement fusion and compensation algorithm based on radarChinese Full Text

MIAO Liang-liang;CHEN Xian-zhong;BAI Zhen-long;HUANG Yue-qin;HOU Qin-wen;YIN Yi-xin;Key Laboratory of Advanced Control for Iron and Steel Processof the Ministry of Education,School of Automation and Electrical Engineering,University of Science and Technology Beijing;

Abstract: A fusion measuring method proposed in this paper by using the soil mechanical granular accumulation theory is a new concept for computing the burden line shape in blast furnaces. This method offers a powerful solution to compute the burden line shape directly in comparison with the traditional way in which the contact force model is adopted to compute the burden line shape in blast furnaces from the bottom up. With the multiloop distributing accumulation property of blast furnaces and the advantage of 6-point array radar on the top,the boundary conditions of the burden line shape can be easily calculated. Under the boundary conditions,the estimated values gotten by cross temperature and mechanical sounding rods can be compensated. Taking into consideration the distributing discipline of blast furnaces and the particle accumulation method,this method adopts Bayes data fusion and sectional triple Hermite interpolation under the boundary conditions to finish the combination of theoretical calculation and measurement correction. Measurement results indicate that compared with the traditional method,the measurement accuracy rises by 4. 8% and the resolution of the burden line increases by 27. 2%,which make the control of burdening more precise and more targeting.

Keywords：

blast furnaces; burden; radar measurement; data fusion; interpolation;

DOI：
10.13374/j.issn1001-053x.2014.01.013
Series：
Subject：
Classification Code：
TF54

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Blast furnace line shape measurement fusion and compensation algorithm based on radarChinese Full Text

MIAO Liang-liang;CHEN Xian-zhong;BAI Zhen-long;HUANG Yue-qin;HOU Qin-wen;YIN Yi-xin;Key Laboratory of Advanced Control for Iron and Steel Processof the Ministry of Education,School of Automation and Electrical Engineering,University of Science and Technology Beijing;

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