基于专家系统的浮选优化控制方法  

Optimization Control Method for Flotation Based on Expert System

作　　者：刘猛 邹国斌 王旭 杨佳伟 刘梦晓 LIU Meng;ZOU Guobin;WANG Xu;YANG Jiawei;LIU Mengxiao(BGRIMM Technology Group,Beijing 100160,China;State Key Laboratory of Mining and Metallurgical Process Automation,Beijing 102628,China;Fengxin Times New Energy Resources Co.,Ltd.,Yichun 330700,Jiangxi,China)

机构地区：[1]矿冶科技集团有限公司,北京100160 [2]矿冶过程智能优化制造全国重点实验室,北京102628 [3]奉新时代新能源资源有限公司,江西宜春330700

出　　处：《有色金属(选矿部分)》2025年第3期127-132,共6页Nonferrous Metals(Mineral Processing Section)

基　　金：2021年国家质量基础设施体系(NQI)重点研发计划项目(2021YFF0602400)。

摘　　要：浮选生产过程中产生着海量的数据,首先,从中挖掘出人们事先不知道但潜在有用的规则知识,和通过总结相关文献资料或从领域专家那里获取经验知识,然后,以某一知识表示方式表达出来,根据其表示方式分别存入到知识库或者模型库中。主要研究基于原矿性质、泡沫特征进行理论、实时泡沫品位的预测,建立品位预测模型,并开发出一套基于“原矿品位确定产率控制区间、精矿品位差加以修正、泡沫泵池液位协同控制”的产率优化控制逻辑,实现了精矿产率的稳定把控;同时,基于大数据挖掘算法进行泡沫特征与药剂用量的研究,实现了药剂用量的智能调控。最终,搭建浮选专家系统,实现实时数据库的数据在推理机的作用下与知识库中的规则知识和模型库中的数据模型按照一定的推理方法和控制策略进行匹配,从而实现浮选液位、充气量、药剂用量等因素的智能调节。该专家系统在国内某选矿厂的持续投用,极大地减轻了现场一线人员的工作强度,提高了工艺生产的稳定性,降低了粗精矿品位的波动性,提高了金属矿物的回收率。During the flotation production process,a massive amount of data is generated.Firstly,rule knowledge that people may not know in advance but may be potentially useful is excavated,and empirical knowledge is obtained by summarizing relevant literature or domain experts.Then,it is expressed in a certain knowledge representation method and stored in a knowledge base or model base according to its representation method.This paper mainly studies the theoretical and real-time prediction of foam grade based on the nature of raw ore and foam characteristics,establishes the grade prediction model,and develops a set of yield optimization control logic based on“raw ore grade determines the yield control interval,concentrate grade difference is corrected,and foam pump pool level coordinated control”,which realizes the stable control of concentrate yield.At the same time,research on foam characteristics and reagent dosage based on big data mining algorithm was carried out to realize intelligent regulation of dosage.Finally,a flotation expert system is built to match the real-time database data with the rule knowledge in the knowledge base and the data models in the model base under the action of the inference machine,according to certain inference methods and control strategies,thereby achieving intelligent adjustment of factors such as flotation liquid level,air,and reagent dosage.The continuous use of this expert system in a domestic beneficiation plant has greatly reduced the workload of frontline personnel,improved the stability of process production,reduced the volatility of rough concentrate grade,and increased the recovery of metal minerals.

关 键 词：数据挖掘 规则知识 数据模型 知识表示方式 知识库 模型库 推理机 

分 类 号：TD928.9[矿业工程—选矿]