Plant-wide optimization based on interval number for beneficiation and metallurgy

被引:1
|
作者
Yuan, Qingyun [1 ]
Liu, Tan [1 ]
Wang, Yonggang [1 ]
Wang, Lina [2 ]
机构
[1] Shenyang Agr Univ, Coll Informat & Elect Engn, Shenyang 110866, Peoples R China
[2] China Jiliang Univ, Coll Mech & Elect Engn, Hangzhou, Peoples R China
来源
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
beneficiation and metallurgy; interval number; plant‐ wide optimization; qualitative model;
D O I
10.1002/cjce.23974
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Considering the difficulty of accurate online-measurement of some key variables in the plant-wide process of beneficiation and metallurgy, the quantitative models of some procedures are difficult to establish and the plant-wide optimization control based on the quantitative models is difficult to realize. To address the problem, a plant-wide optimization method based on interval numbers is proposed. Firstly, through analyzing the plant-wide process of beneficiation and metallurgy, the framework of plant-wide optimization based on interval number is given. Secondly, according to expert knowledge and the site workers' experience, the fuzzy qualitative model of the flotation process is established. Combining the quantitative model of the subsequent metallurgy process with the qualitative model of the flotation process, the plant-wide optimization problem of beneficiation and metallurgy is established with the maximum economic benefits as the objective. Thirdly, for each output mode of the fuzzy qualitative model, interval number is used to represent the key variables that cannot be measured online, and combining the optimization algorithm based on interval number with the hierarchical decomposition optimization method, an optimization method is proposed to realize the plant-wide optimization of beneficiation and metallurgy. Finally, compared with the conventional plant-wide optimization method and the original hierarchical decomposition optimization method, the simulation results show that the proposed optimization method has a wider applicability, especially with its advantages in solving optimization problems with uncertainty.
引用
收藏
页码:S485 / S503
页数:19
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