Optimization method for adding cold charges operation in process of copper converter

doi:10.3969/j.issn.0438-1157.2012.09.016

CIESC Journal ›› 2012, Vol. 63 ›› Issue (9): 2777-2782.DOI: 10.3969/j.issn.0438-1157.2012.09.016

Previous Articles Next Articles

Optimization method for adding cold charges operation in process of copper converter

YAN Feng^1,2, GUI Weihua¹, CHEN Yong¹, XIE Yongfang¹, REN Huifeng¹

1. School of Information Science & Engineering, Central South University, Changsha 410083, Hunan, China;
2. Changsha Engineering & Research Institute Ltd.of Nonferrous Metallurgy, CHALIECO, Changsha 410011, Hunan, China

Received:2012-06-11 Revised:2012-06-21 Online:2012-09-05 Published:2012-09-05
Supported by:
supported by the Innovative Research Team in University(IRT1044),the High-tech Research and Development Program of China(2009AA04Z137),the Science and Technology Planning Project of Hunan Province(2011FJ6049)and CSU Postdoctoral Science Foundation.

铜转炉吹炼过程冷料添加操作的优化方法

鄢锋^1,2, 桂卫华¹, 陈勇¹, 谢永芳¹, 任会峰¹

1. 中南大学信息科学与工程学院, 湖南长沙 410083;
2. 中铝国际长沙有色冶金设计研究院有限公司, 湖南长沙 410011

通讯作者: 鄢锋
作者简介:鄢锋(1981-),男,博士研究生,工程师。
基金资助:
教育部创新团队发展计划项目(IRT1044);国家高技术研究发展计划项目(2009AA04Z137);湖南省科技计划项目(2011FJ6049);中南大学博士后科学基金项目。

Abstract

Abstract: For the problem of adding cold charges operation in the process of copper converter,a optimization method based on improving genetic algorithm is proposed.The GA was improved by population and individual dissimilarity degree and dissimilarity interval in order to enhanced global optimization and accelerate the convergence rate.Then,on the basic of predictive value of residual heat to the copper matte converting process,the IGA is used for the global optimization problem of adding cold charges operation.The simulation results and production application demonstrate the effectiveness of the scheme which is beneficial to the operation optimization of copper converter,increasing throughput of cold charges and copper output.

Key words: copper converter, operation optimization, genetic algorithm, dissimilarity degree, dissimilarity interval

摘要： 针对铜转炉操作过程中的冷料添加操作问题,提出了一种基于改进的遗传算法的优化方法。通过引入种群相异度、个体相异度和相异区,改进遗传算法,使算法增强全局优化性和快速收敛性,以吹炼过程剩余热预测值为基础,应用改进的遗传算法求解冷料添加的全局最优化问题。仿真结果和实际生产应用表明,该方法具有快速和有效等特点,实现了铜转炉吹炼过程中的冷料添加操作的优化和指导,有效地提高了冷料处理量,并增加了铜产量。

关键词: 铜转炉, 操作优化, 遗传算法, 相异度, 相异区

CLC Number:

TP13

YAN Feng, GUI Weihua, CHEN Yong, XIE Yongfang, REN Huifeng. Optimization method for adding cold charges operation in process of copper converter[J]. CIESC Journal, 2012, 63(9): 2777-2782.

鄢锋, 桂卫华, 陈勇, 谢永芳, 任会峰. 铜转炉吹炼过程冷料添加操作的优化方法[J]. 化工学报, 2012, 63(9): 2777-2782.

References 9

[1]	Li Xin(李新),Yang Wendong(杨文栋),Zhu Yingxin(朱瑛昕).Determination on the weight of cold input in converter[J].Gansu Metallurgy(甘肃冶金),2007,29(2):8-9,12
[2]	Zhou Ming(周明),Sun Shudong(孙树栋).The Genetic Algorithms:Algorithms and Application(遗传算法原理及应用)[M].Beijing:National Defense Industry Press,1999
[3]	Feng Chun(冯春),Chen Yong(陈永).Application of genetic algorithms in a kind of combinatorial optimization[J].Computer Engineering and Applications(计算机工程与应用),2001(5):44-46
[4]	Wang Xiaodong(王晓东),Jin Jiling(金吉凌),Liu Quanli(刘全利),Pan Xuejun(潘学军),Wang Wei(王伟).Improved genetic algorithm and its application in optimal combination stacks of steel roll [J].Control Theory&Applications(控制理论与应用),2004,21(6):993-997
[5]	Michalenicz Z,Janikow C Z,Krawczyk J B.A modified genetic algorithm for optimal control problems[J].Computers Math.Applic.,1992, 23(12):42-47
[6]	Shi Kuifan,Chen Yuehui.A method of improving the convergence speed of genetic algorithm[J].Information and Control,1998,27(4):289-293
[7]	Chen Wei,Chen Li,Ma Yao.The improvement of genetic algorithm performance//Proceedings of the IEEE International Conference on Machine Learning and Cybernetics.Beijing,2002:945-951
[8]	Yan Feng(鄢锋),Gui Weihua(桂卫华),Li Yonggang(李勇刚),Yang Chunhua(阳春华).Combinatorial forecasting model of residual heat to copper matte converting process and its application[J].Computer Measurement&Control(计算机测量与控制),2007, 15(8):997-999,1022
[9]	Yan Feng(鄢锋).Study on operational optimization for the operation of adding cold charges in PS converter copper matte converting process and its application.Changsha:Central South University,2007

[1]	Chengying ZHU, Zhenlei WANG. Operation optimization of ethylene cracking furnace based on improved deep reinforcement learning algorithm [J]. CIESC Journal, 2023, 74(8): 3429-3437.
[2]	Shumin ZHENG, Pengcheng GUO, Jianguo YAN, Shuai WANG, Wenbo LI, Qi ZHOU. Experimental and predictive study on pressure drop of subcooled flow boiling in a mini-channel [J]. CIESC Journal, 2023, 74(4): 1549-1560.
[3]	Qucheng LIN, Zuwei LIAO. Multi-objective optimization of work and heat exchange networks based on a decomposition algorithm [J]. CIESC Journal, 2022, 73(11): 5047-5055.
[4]	Yilin ZHU, Xinjing ZHANG, Yujie XU, Jie DING, Huan GUO, Haisheng CHEN. Analysis and optimization of biomass pyrolysis and gasification based on genetic algorithm-comprehensive calculation method [J]. CIESC Journal, 2021, 72(9): 4910-4920.
[5]	XIE Fuming, XU Feng, LUO Xionglin. Influence analysis of process scheduling on optimized operation strategy of acetylene hydrogenation reactor [J]. CIESC Journal, 2021, 72(5): 2718-2726.
[6]	SHI Xiangcheng, ZHAO Zhijian, GONG Jinlong. Application of genetic algorithm in the global structure optimization of catalytic system [J]. CIESC Journal, 2021, 72(1): 27-41.
[7]	Fuming XIE, Feng XU, Xionglin LUO. Release mechanism analysis of design margin for slowly-time-varying chemical processes [J]. CIESC Journal, 2020, 71(S2): 216-224.
[8]	Wei LI, Xiaoming WANG, Dongnian JIANG, Yajie LI, Chenglong LIANG. Prediction of octane number of finished gasoline blend based on SHPSO-GA-BP [J]. CIESC Journal, 2020, 71(7): 3191-3200.
[9]	Zhiqiang GENG, Shuai BI, Zun WANG, Qunxiong ZHU, Yongming HAN. Operation optimization of ethylene cracking furnace based on improved NSGA-Ⅱ algorithm [J]. CIESC Journal, 2020, 71(3): 1088-1094.
[10]	Simin WANG, Lijuan SUN, Chen SONG, Zaoxiao ZHANG, Jian WEN. Multi-objective optimization on shell-side performance of rod-baffle heat exchangers with twisted oval tubes [J]. CIESC Journal, 2019, 70(9): 3353-3362.
[11]	Zeyu SONG, Guoqing LI, Lingxuan LIU. New determination method of parameters for model-free adaptive control [J]. CIESC Journal, 2019, 70(9): 3430-3440.
[12]	Xin YANG, Zherui MA, Henan SHEN, Hongwei CHEN. Fault diagnosis of airflow jamming fault in double circulating fluidized bed based on multi-scale feature energy and KELM [J]. CIESC Journal, 2019, 70(7): 2616-2625.
[13]	Fei LI, Cuili YANG, Wenjing LI, Junfei QIAO. Optimal control of wastewater treatment process using NSGAII algorithm based on multi-objective uniform distribution [J]. CIESC Journal, 2019, 70(5): 1868-1878.
[14]	Qichao XU, Jinbo JIANG, Xudong PENG, Jiyun LI, Yuming WANG. Unified model and geometrical optimization of bi-directional groove of dry gas seal based on genetic algorithm [J]. CIESC Journal, 2019, 70(3): 995-1005.
[15]	Zheng FAN, Panpan JI, Chao LI, Zhuang LIU, Yigang ZHAO, Xiaoyan JING. Synthetic process optimization of benzyl acrylate using fuzzy neural networks-genetic algorithms [J]. CIESC Journal, 2019, 70(11): 4315-4324.

Optimization method for adding cold charges operation in process of copper converter

铜转炉吹炼过程冷料添加操作的优化方法

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

References 9

Related Articles 15

Recommended Articles

Metrics

Comments