高炉铁液含钒量预测及提钒工艺优化

IF 2.5 4区 工程技术 Q3 CHEMISTRY, ANALYTICAL Separations Pub Date : 2023-09-25 DOI:10.3390/separations10100521
Hongwei Li, Xin Li, Xiaojie Liu, Xiangping Bu, Shujun Chen, Qing Lyu, Kunming Wang
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引用次数: 0

摘要

铁液含钒量是钒钛磁铁矿冶炼高炉的重要经济指标,准确预测铁液含钒量并优化提钒操作对高炉生产具有重要意义。以某工业高炉的历史数据为基础,对缺失数据和离群数据进行处理,得到清洁数据,进行数据挖掘分析和模型开发。采用组合小波- tcn模型对铁液中钒含量进行了预测。计算小波变换后的平均Hurst指数,减少了小波变换层选择的复杂性和模型计算时间。结果表明,基于小波-TCN (a = 5)的组合模型相对于LSTM、LSTM加注意、TCN等单一模型,R2提高约11~17%,预测精度高且稳定,满足高炉生产的实际要求。分析了影响铁液中钒含量的因素,总结了提高铁液中钒含量的措施。高炉应避免增加钛白粉负荷,适当增加钒负荷,并使相关运行参数保持在适当范围内,以实现铁液提钒的优化。
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Prediction of the Vanadium Content of Molten Iron in a Blast Furnace and the Optimization of Vanadium Extraction
The vanadium content of molten iron is an important economic indicator for a vanadium–titanium magnetite smelting blast furnace, and it is of great importance in blast furnace production to be able to accurately predict it and optimize the operation of vanadium extraction. Based on the historical data of a commercial blast furnace, the clean data were obtained by processing the missing data and outlier data for data mining analysis and model development. A combined wavelet-TCN model was used to predict the vanadium content of molten iron. The average Hurst index after wavelet transform was calculated to reduce the complexity of the wavelet transform layer selection and the model computation time. The results show that compared to single models, such as LSTM, LSTM with attention, and TCN, the combined model based on wavelet-TCN (a = 5) had an improvement of about 11~17% in R2, and the prediction accuracy was high and stable, which met the practical requirements of blast furnace production. The factors affecting the vanadium content of molten iron were analyzed, and the measures to increase the vanadium content were summarized. A blast furnace should avoid increasing the titanium dioxide load, increase the vanadium load appropriately, and keep the relevant operating parameters within the appropriate range in order to achieve the optimization of vanadium extraction from molten iron.
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来源期刊
Separations
Separations Chemistry-Analytical Chemistry
CiteScore
3.00
自引率
15.40%
发文量
342
审稿时长
12 weeks
期刊介绍: Separations (formerly Chromatography, ISSN 2227-9075, CODEN: CHROBV) provides an advanced forum for separation and purification science and technology in all areas of chemical, biological and physical science. It publishes reviews, regular research papers and communications. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced. There are, in addition, unique features of this journal: Manuscripts regarding research proposals and research ideas will be particularly welcomed. Electronic files and software regarding the full details of the calculation and experimental procedure, if unable to be published in a normal way, can be deposited as supplementary material. Manuscripts concerning summaries and surveys on research cooperation and projects (that are funded by national governments) to give information for a broad field of users. The scope of the journal includes but is not limited to: Theory and methodology (theory of separation methods, sample preparation, instrumental and column developments, new separation methodologies, etc.) Equipment and techniques, novel hyphenated analytical solutions (significantly extended by their combination with spectroscopic methods and in particular, mass spectrometry) Novel analysis approaches and applications to solve analytical challenges which utilize chromatographic separations as a key step in the overall solution Computational modelling of separations for the purpose of fundamental understanding and/or chromatographic optimization
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