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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    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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History
  • Received:June 16,2023
  • Revised:
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  • Online: November 24,2025
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