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刚果(金)某选矿厂磨矿优化控制专家系统研究 被引量:1

Grinding optimization control expert system for a mineral processing plant in congo(DRC)
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摘要 磨矿是选矿流程的关键作业之一,传统选矿厂通常因矿石可磨性质波动导致磨矿工艺频繁调整,相关控制参数的调整多数依赖人工经验,刚果(金)某选矿厂磨矿作业存在类似问题。本文在深入研究传统选矿厂工艺和刚果(金)选矿智能化改造和工艺控制需求后,提出了磨矿优化控制专家系统解决方案,通过磨矿工艺流程智能化控制策略对生产流程和工艺设备进行了改造,实现了磨矿过程的智能化控制和工艺分级优化,为选矿厂工艺流程优化和智能化升级提供技术方案和建设路径。 Grinding is one of the key operations in the beneficiation process.Traditional beneficiation plants often adjust the grinding process frequently due to fluctuations in the grindability of the ore.The adjustment of related control parameters mostly relies on manual experience.A certain beneficiation plant in the Democratic Republic of Congo has similar problems with grinding operations.After in-depth research on traditional beneficiation plant processes and the intelligent transformation and process control requirements of Congo(DRC)beneficiation,this article proposes a grinding optimization control expert system solution.Through the intelligent control strategy of grinding process flow,the production process and process equipment are transformed,achieving intelligent control and process classification optimization of the grinding process,it provides technical solutions and construction paths for the optimization and intelligent upgrading of the beneficiation plant's process flow.
作者 高立强 尤腾胜 张维国 祝晋 胡学平 刘佳鹏 GAO Liqiang;YOU Tengsheng;ZHANG Weiguo;ZHU Jin;HU Xueping;LIU Jiapeng
出处 《有色设备》 2024年第1期36-40,共5页 Nonferrous Metallurgical Equipment
关键词 智能选厂 磨矿分级 优化控制 专家系统 装备智能化 选矿 粒度 intelligent dressing plant grinding and classification optimized control expert system intelligent equipment ore benificiation granularity
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