选矿工艺参数优化评测数据集

本数据集聚焦选矿工艺（浮选、磁选、重选等）操作参数与生产指标之间的建模与优化，覆盖铜、铁、锂、磷等多种矿石类型。数据内容包括工艺与给矿条件（原矿品位、矿浆浓度、处理量）、操作参数（药剂添加量、pH、充气量、磁场强度、磨矿细度等）、产品质量指标（精矿品位、回收率、尾矿品位、产量）及经济指标（成本、能耗）。适用于生产指标预测、操作参数优化、多目标优化算法评测、给矿波动鲁棒性研究及选矿数字孪生等场景。This dataset focuses on the modeling and optimization of the relationship between operating parameters and production indicators for mineral processing technologies, including flotation, magnetic separation, gravity separation and other processes, covering various ore types such as copper, iron, lithium and phosphorus. The dataset includes process and feed conditions (raw ore grade, pulp density, throughput), operating parameters (reagent dosage, pH, aeration rate, magnetic field strength, grinding fineness, etc.), product quality indicators (concentrate grade, recovery rate, tailings grade, output) and economic indicators (cost, energy consumption). It is applicable to scenarios such as production indicator prediction, operating parameter optimization, multi-objective optimization algorithm evaluation, robustness research against feed fluctuations, and mineral processing digital twin applications.

搜集汇总

背景与挑战

背景概述

该数据集专注于选矿工艺（如浮选、磁选、重选）中操作参数与生产指标之间的建模与优化，涵盖铜、铁、锂、磷等多种矿石类型。其内容包括给矿条件、操作参数、产品质量及经济指标，适用于生产预测、参数优化和多目标算法评测等工业智能场景。