基于数字孪生的离子型稀土矿水冶工艺数据动态可视化研究
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1.广东风华高新科技股份有限公司, 广东 肇庆 526000 ; 2.中国恩菲工程技术有限公司, 北京 100038 ;3.平远县华企稀土实业有限公司, 广东 平远 514600

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吴传松(1987—),男,湖南常宁人,工程师,大学本科,主要从事电子元器件研发、投资及项目管理工作,现任广东风华高新科技股份有限公司投资发展部总监助理。

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TP315

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Research on the Data Dynamic Visualization of Hydrometallurgical Process in the In-situ Leaching of Ionic Rare Earth Ore Based on Digital Twin
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    摘要:

    利用数字孪生技术为支撑体系,以离子型稀土矿水冶车间生产过程产生的实时海量数据资源分析、数据可视化、设备传感器、数据优化分析为核心,统筹工艺流程数字化赋能理念。将离子型稀土矿水冶车间数据动态可视化以“一张图”的方式呈现,构建离子型稀土矿水冶车间各工序数字孪生体,实现水冶时空动态监测,融合浸采、除杂、沉淀、压滤四大生产流程,打通多节点数据通道,支持智慧水冶车间数据汇聚共享,提供全方位、多种类立体数据监测信息,从而更好地支撑离子型稀土矿水冶车间管理工作,提高设备利用率和生产效率,降低成本,优化产能,提升智能化决策水平。

    Abstract:

    Utilizing digital twin technology as the support system, the digital empowerment of hydrometallurgical process could be integrated planning with the focus on real-time analysis of massive data resource, which could be generated from the producing process of hydrometallurgical plant of ionic rare earth ore, data visualization, sensing equipment and optimizing analysis. With the construction of digital twin model referring to each process in the hydrometallurgical plant of ionic rare earth ore, dynamic visualization of data generated from the hydrometallurgical plant of ionic rare earth ore could be presented with developing a “big picture”, in order to realize both the spatial and temporal dynamics of hydrometallurgical process. Through integrating the four primary producing processes of leaching, impurity removing, precipitating and filtering, multi-node data channel could be opened up, in favor of the data convergence and sharing of intelligent hydrometallurgical plant and further providing comprehensive and multi-dimensional data monitoring information. As a result, the management of hydrometallurgical plant of ionic rare earth ore could be well supported with the improving of equipment utilization and production efficiency so as to achieve the reducing of costs and the optimizing of producing capacity. Furthermore, the intelligent decision-making capability of hydrometallurgical process could be enhanced.

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吴传松,高志江,楚金旺,等.基于数字孪生的离子型稀土矿水冶工艺数据动态可视化研究[J].有色设备,2023,37(5):1-4.

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  • 收稿日期:2023-06-16
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  • 在线发布日期: 2025-11-24
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