浮选药剂加药量的确定方法、系统、设备及介质
By optimizing the dosage of flotation reagents using neural network models and particle swarm optimization algorithms, the problem of achieving optimal economic benefits in the mine was solved, precise determination of reagent dosage was realized, and the economic efficiency of the flotation process was improved.
CN116140074BActive Publication Date: 2026-07-17HUA DATA TECH (SHANGHAI) CO LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HUA DATA TECH (SHANGHAI) CO LTD
- Filing Date
- 2023-03-03
- Publication Date
- 2026-07-17
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Figure CN116140074B_ABST
Abstract
本发明公开了一种浮选药剂加药量的确定方法、系统、设备及介质，该确定方法包括：预设目标函数；将浮选柱工艺参数、原矿品位参数和预设浮选药剂加药量输入预先训练的精矿质量预测模型得到对应的精矿质量参数；根据预设浮选药剂加药量和对应精矿质量参数对目标函数以粒子群算法迭代计算预设次数，以得到目标函数达到最优解时对应的最优浮选药剂加药量。本发明在预先训练得到精矿质量预测模型时以历史原矿品位参数和历史浮选柱工艺参数为输入，保证了精矿质量预测模型在不同环境下的预测效果；经济评价值与精矿经济收益和精矿回收率正相关，与浮选药剂经济成本负相关，保证与最佳的经济评价值对应的浮选药剂加药量能满足矿场的经济效益最优的需求。
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