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金属矿山 ›› 2020, Vol. 49 ›› Issue (06): 131-135.

所属专题: 基因矿物加工

• 基因矿物加工专题 • 上一篇    下一篇

基于融合建模的浮选药剂消耗预测研究

高 鹏 1,2 张宁豫 1,2 张臣一 1,2 吴 剑 3   

  1. 1. 东北大学资源与土木工程学院,辽宁 沈阳 110819;2. 难采选铁矿资源高效开发利用技术国家地方联合工程研究中心,辽宁 沈阳 110819;3. 东北大学信息科学与工程学院,辽宁 沈阳 110819
  • 出版日期:2020-06-15 发布日期:2020-06-23
  • 基金资助:

    国家自然科学基金资助项目(编号:51734005)

Prediction of Flotation Reagents Consumption Based on Fusion Modeling

Gao Peng1,2 Zhang Ningyu1,2 Zhang Chenyi1,2 Wu Jian3   

  1. 1. School of Resources and Civil Engineering,Northeastern University,Shenyang 110819,China;2. National-local Joint Engineering Research Center of High-efficient Exploitation Technology for Refractory Iron Ore Resources,Shenyang 110819,China;3. College of Information Science and Engineering,Northeastern University,Shenyang 110819,China  
  • Online:2020-06-15 Published:2020-06-23

摘要: 浮选是选矿技术中常用的技术之一,为了使选矿工艺指标达到要求,需要加入捕收剂、抑制剂、活化剂和 pH 调整剂等药剂。药剂消耗在影响浮选工艺指标的同时也影响着选矿的成本,因此预测每天、周、月、年的药剂消耗量,对其进行定额管理是浮选作业中重要的研究问题,基于缺失数据填补技术采用融合建模的方法在原矿性质、浮选指标及药剂消耗之间建立带有混合效应的非线性模型,并预测 7 d(1 周)、30 d(1 月)、365 d(1 年)的浮选药剂消耗量。预测结果与生产数据对比表明,该模型实现了对选厂浮选药剂用量的短期精确预测。实际数据显示该方法对生产实践具有指导意义。

关键词: 浮选指标, 缺失数据 , 浮选药剂消耗, 融合建模 , 药剂定额管理

Abstract: Flotation is one of the commonly used technologies in beneficiation technology. In order to meet the requirements of beneficiation process indicators,it is necessary to add agents such as collectors,inhibitors,activators and pH adjusters.The consumption of chemicals affects the cost of beneficiation while affecting the flotation process indicators,therefore,forecasting daily,weekly,monthly and yearly consumption of pharmaceuticals and managing consumption of pharmaceuticals is an important research question. Based on the missing data filling technique,uses fusion modeling to establish a non-linear model with mixed effects on ore properties,flotation index and reagent consumption,and predict 7 d (1 week),30 d (1 month),365 d (1 year) consumption of flotation agent. The comparison between the prediction results and the production data shows that the model achieves short-term accurate prediction of the flotation agent dosage in the concentrator. The actual data show that the method has guiding significance for production practice.

Key words: Flotation index, Missing data, Flotation reagents consumption, Fusion modeling, Managing consumption of pharmaceuticals