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投稿时间:2021-03-17 修订日期:2021-03-25
投稿时间:2021-03-17 修订日期:2021-03-25
中文摘要: 浓缩脱水生产过程是选矿、冶金行业中的重要生产工序,实现浓缩脱水过程智能优化控制是实现全流程优化控制的关键。本文研究开发了基于分步协调优化的浓缩脱水智能控制方法和系统,在保证浓缩脱水生产过程安全运行、指标满足生产要求的基础上,优化浓密机存矿量及浓密机放矿时间安排,实现浓密压滤操作的闭环,使浓密机和压滤机协调生产,提高浓密机底流浓度,降低浓缩脱水过程能耗,提升浓缩脱水过程生产效率。本文所述方法在国内某选厂成功应用,实现浓缩脱水过程智能优化控制,为企业降本增效,提升经济效益和核心竞争力。
Abstract:The process of concentration and dehydration plays an important role in mineral and metallurgical industry. The intelligent optimization control of concentration and dehydration process is the key to realize the whole process optimization control. This paper presents an intelligent control system of concentration and dehydration process based on step-by-step optimization. On the basis of ensuring the safe operation of concentration and dehydration process and meeting the production requirements, it optimizes the ore storage of thickener and the ore drawing schedule of thickener, realizes the closed-loop of thickener and filter pressing operation.Furthermore this system makes the thickener and filter pressing coordinate production, improves the underflow concentration of thickener and the production efficiency of concentration and dehydration process, reduces the overflow and the energy consumption. The sytem described in this article was successfully applied in a concentrator to achieve intelligent optimization control of the concentration and dehydration process, reduce costs and increase efficiency for enterprises, and improve economic benefits and core competitiveness.
keywords: Concentration and dehydration process, intelligent optimization control, step-by-step coordinated optimization, cost reduction and efficiency increase
文章编号: 中图分类号: 文献标志码:
基金项目:国家重点研发计划项目“矿物加工流程大数据关键技术研究与应用”资助(编号:2019YFE0105000)。
作者 | 单位 | |
邹国斌* | 矿冶科技集团有限公司 | zou_gb@bgrimm.com |
李康 | 东北大学 信息科学与工程学院 | |
王庆凯 | 矿冶科技集团有限公司 | |
张华鲁 | 东北大学 信息科学与工程学院 | |
高明生 | 山东黄金矿业莱州有限公司三山岛金矿 |
引用文本:
邹国斌,李康,王庆凯,张华鲁,高明生.基于分步协调优化的浓缩脱水过程智能控制方法和系统[J].有色金属工程,2021,(7):68-74.
邹国斌,李康,王庆凯,张华鲁,高明生.基于分步协调优化的浓缩脱水过程智能控制方法和系统[J].有色金属工程,2021,(7):68-74.