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金属矿山选矿厂磨矿分级自动控制研究现状
引用本文:石 立,张国旺,肖 骁.金属矿山选矿厂磨矿分级自动控制研究现状[J].金属材料与冶金工程,2014(1):43-48,56.
作者姓名:石 立  张国旺  肖 骁
作者单位:长沙矿冶研究院有限责任公司,湖南长沙410012
摘    要:自动控制技术在国内选矿厂磨矿分级流程中应用已有将近40年,为促进磨矿分级控制系统的工业化应用和深入研究,对磨矿分级控制系统的发展进行了综述。目前磨矿分级检测仪表主要分为给矿量、矿浆流量、矿浆浓度、矿浆粒度、矿仓料位、磨机负荷量等六个方面;检测手段分为直接测量和间接测量。磨矿分级控制策略从传统控制策略发展为现代控制技术和人工智能控制技术相互结合的控制策略。

关 键 词:磨矿分级  仪表检测  现代控制  人工智能控制

Research on Automatic Control of Grinding and Classification in Concentration Plants of Metal Mines
SHI Li,ZHANG GUO-wang,XIAO Xiao.Research on Automatic Control of Grinding and Classification in Concentration Plants of Metal Mines[J].Metal Materials And Metallurgy Engineering,2014(1):43-48,56.
Authors:SHI Li  ZHANG GUO-wang  XIAO Xiao
Affiliation:( Changsha Research Institute Of Mining And Metallurgy Co. Ltd., Changsha 410012, China)
Abstract:Automatic control technology has been used in grinding-classification process in domestic concentration plants for nearly 40 years. In order to promote the industrial application and further study of the grinding-classification control system, this paper reviewed the development of the grinding-classification control system. At present, the grinding- classification detection instruments mainly relate to six aspects such as ore pulp flow, slurry concentration, slurry particle size, material level of ore bin, mill load. The detection methods include direct measurement and indirect measurement. The grinding and classification control strategy changes from traditional control to modem control and artificial intelligence control. The current development trend of the control strategy is the combination of modem control technology and artificial intelligence technology.
Keywords:grinding classification  instrumentation  modem control  artificial intelligence control
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