Study on Process Modelling and Optimizing Based on Interval Number for Gold Hydrometallurgy

被引：0
作者：
Liu Y.-D. [1 ]
Niu D.-P. [1 ,2 ]
Chang Y.-Q. [1 ,2 ]
Wang F.-L. [1 ,2 ]
Zhang Y.-J. [1 ]
机构：
[1] College of Information Science and Engineering, Northeastern University, Shenyang
[2] State Key Laboratory of Synthetical Automation for Process Industries (Northeastern University), Shenyang
来源：
Zidonghua Xuebao/Acta Automatica Sinica | 2019年 / 45卷 / 05期
基金：
中国国家自然科学基金;
关键词：
Expert knowledge; Fuzzy qualitative model; Hierarchical optimization; Hydrometallurgy; Interval number;
D O I：
10.16383/j.aas.2018.c170401
中图分类号：
学科分类号：
摘要：
Considering the difficulty of accurate online-measurement of some key variables in gold hydrometallurgy productive process, which results in that the quantitative models of some procedures are difficult to establish and the process optimization control based on the quantitative model is difficult to realize, a process hierarchical optimization method based on the interval number is proposed. Firstly, based on the analysis of the characteristics of gold hydrometallurgy production process, the frame of process hierarchical optimization based on the interval number is proposed. Secondly, based on the knowledge of experts and the experience of field operators, a fuzzy qualitative model of the mixing process is established. By combining the quantitative models of cyanidation leaching process and cementation process with the qualitative model of the mixing process, the optimization model of gold hydrometallurgy production process with the maximum economic benefit as the optimization goal is established. Thirdly, for each output mode of fuzzy qualitative model, the interval numbers are used to instead of the key variables that cannot be measured, and an optimization method based on interval optimization and hierarchical optimization is proposed to realize the gold hydrometallurgy process optimization. Compared with the traditional plant-wide optimization method, the experimental results show that the proposed method has certain application value in the process optimization of industrial production process with uncertainty. Copyright © 2019 Acta Automatica Sinica. All rights reserved.
引用
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页码：927 / 940
页数：13
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