摘要
针对国内某选矿厂镍浮选工艺来矿性质不稳定、精矿品位波动大、回收率不理想的特点,结合浮选生产现场检测设备不完备或者检测周期长、费用高的现状,设计了一套基于品位预测模型的浮选过程智能控制系统,系统投入运行后,泡沫流速稳定性显著提高,精矿品位波动性明显减小,证明了系统的实用性。
In view of the characteristics of a domestic concentrator′s nickel flotation process,including unstable ore quality,large fluctuation of concentrate grade and unsatisfactory recovery rate.Combined with the current situation of incomplete testing equipment,long testing cycles,and high costs in the flotation production site,an intelligent control system for flotation process based on grade prediction model was designed.After the system was put into operation,the stability of foam flow rate was significantly improved and the fluctuation of concentrate grade was significantly reduced,which proved the practicability of the system.
作者
张海洋
王旭
王庆凯
邹国斌
杨佳伟
刘道喜
ZHANG Haiyang;WANG Xu;WANG Qingkai;ZOU Guobin;YANG Jiawei;LIU Daoxi(BGRIMM Technology Group,Beijing 100160,China;National Key Laboratory of Process Intelligent and Optimal Manufacturing in Mining&Metallurgy,Beijing 100160,China;Beijing Key Laboratory of Mining and Metallurgical Process Automation,Beijing 100160,China)
出处
《有色金属工程》
CAS
北大核心
2024年第2期77-84,共8页
Nonferrous Metals Engineering
关键词
浮选工艺
泡沫流速
精矿品位
检测设备
预测模型
智能控制
flotation process
foam flow rate
concentrate grade
testing equipment
prediction model
intelligent control
