An intelligent dynamic setting control framework for a multimode impurity removal process
-
Bei Sun
,
Yonggang Li
,
Xulong Zhang
Abstract
The main task of the impurity removal process is to control the oxidation reduction potential (ORP) within the range of the optimized set value. The impurity removal process is essentially an oxidation-reduction process. Oxidation reduction potential (ORP) is an external reflection of reaction state inside the impurity removal reactor. However, actual industry is time-varying, nonlinear and multimode. It is difficult to determine the appropriate dosage of impurity remover in practice. This will lead to large fluctuations in the operation mode, affecting the safety and stability of the process and the final product quality. To solve these problems, an intelligent dynamic setting control framework (IDSCF) for the multimode impurity removal process is proposed in this paper. It includes a preset module of the dosage of impurity remover based on impurity remover utilization (IRU) estimation, an operation mode detection module based on autoencoder, a normal mode adjustment module based on fuzzy logic, and an unsteady mode adjustment module based on case-based reasoning (CBR). The framework can determine the reasonable preset dosage of impurity remover and adjust the dosage according to the current operation mode of the impurity removal process. Because the operation mode is related to the residual dosage of impurity remover added over a period of time, that is, the accumulative effect of the large-scale metallurgical reactor. When calculating the preset dosage of impurity remover, the reactant accumulation ratio (RAR) is calculated, which makes the calculation of the preset value more reasonable. In addition, it can detect the unsteady modes causing large fluctuations in the process and adjust them in time. Experiments are carried out in accordance with the data of an actual cobalt removal process. The results show that this method can effectively improve the stability of the impurity removal process, control the ORP within the set range and cope with complex mode changes.
Funding source: National key research and development program
Award Identifier / Grant number: 2020YFB1713700
Funding source: National Natural Science Foundation of China
Award Identifier / Grant number: 61973321
Funding source: Projects of International Cooperation and Exchanges NSFC
Award Identifier / Grant number: 61860206014
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Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.
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Research funding: This work was financially supported by the National key research and development program (Grant No. 2020YFB1713700), the Projects of International Cooperation and Exchanges NSFC (Grant No. 61860206014) and the National Natural Science Foundation of China (61973321).
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Conflict of interest statement: The authors declare no conflicts of interest regarding this article.
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Articles in the same Issue
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- Numerical study of post-combustion characteristic in a smelting reduction furnace
- Experimental study and modeling of denitrification in an MBBR reactor
- Experimental study on the influence of fuel-rich and fuel-lean coal/airflow ratio on aerodynamic characteristics of a 300MWe foster wheeler down-fired boiler
- Effect of La on the catalytic performance of mesoporous Ni/γ-Al2O3 catalysts for dry reforming of methane
- Adsorption of paratoluic acid on MIL-53 (Al) metal-organic framework, and response surface methodology optimization
- An intelligent dynamic setting control framework for a multimode impurity removal process
- Optimization of microwave-assisted synthesis process for water-soluble ammonium polyphosphate from urea phosphate and urea
- Oxidation of NMST to NMSBA catalyzed by Co/Mn/Br together with porous carbon made from coconut shell with acetic acid as an activator
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Articles in the same Issue
- Frontmatter
- Articles
- Numerical study of post-combustion characteristic in a smelting reduction furnace
- Experimental study and modeling of denitrification in an MBBR reactor
- Experimental study on the influence of fuel-rich and fuel-lean coal/airflow ratio on aerodynamic characteristics of a 300MWe foster wheeler down-fired boiler
- Effect of La on the catalytic performance of mesoporous Ni/γ-Al2O3 catalysts for dry reforming of methane
- Adsorption of paratoluic acid on MIL-53 (Al) metal-organic framework, and response surface methodology optimization
- An intelligent dynamic setting control framework for a multimode impurity removal process
- Optimization of microwave-assisted synthesis process for water-soluble ammonium polyphosphate from urea phosphate and urea
- Oxidation of NMST to NMSBA catalyzed by Co/Mn/Br together with porous carbon made from coconut shell with acetic acid as an activator
- Influence of blast volume on hot blast distribution rule around the hearth circumferentially
