期刊文献+

选矿自动化技术的新进展 被引量:26

New Progress in Automation Technology for Beneficiation
下载PDF
导出
摘要 选矿工业过程自动化可提高破碎机和磨矿机的台时处理量,提高劳动生产率,降低能耗和原材料消耗,减轻劳动强度,提高和稳定产品质量。选矿自动化技术的研究包括破碎、磨矿分级、选别、脱水过滤及尾矿输送等全套综合控制技术研究。介绍了碎矿作业主要参数检测与控制、磨矿作业控制策略、浮选过程控制策略、高效浓缩机过程参数自动检测与控制等选矿过程自动控制技术的新进展及浮选计算机视觉器、在线粒度分析仪、在线品位分析仪等选矿自动化专用检测仪表的新进展。 The automation of industrial beneficiation process can improve the throughput per unit per hour of crusher and mill and the labor productivity, reduce the energy and raw material consumption and the labor intensity, and increase and stabilize the product quality. The research of beneficiation automation technology involves the complete set of comprehensive control technology for crushing, grinding and classification, dewatering and infiltration and tailing transportation. The paper describes the new progress in the automatic control technology of beneficiation process such as the main parameter detection and control of crushing, the control strategy for grinding, the control strategy for flotation process and the automatic detection and control of the process parameters of high efficiency thickener. The advance in the special detecting instruments for beneficiation automation is also presented such as computer visualizer of flotation, on-line particle size analyzer and on-line grade analyzer.
出处 《金属矿山》 CAS 北大核心 2006年第6期61-64,77,共5页 Metal Mine
关键词 选矿自动化 过程控制 检测仪表 进展 Automation of mineral processing, Process control, Detecting instruments, Progress
  • 相关文献

参考文献12

二级参考文献31

  • 1焦素成.神经网络系统理论[M].西安:西安电子科技大学出版社,1990.255-260.
  • 2北京矿冶研究总院.凡口铅锌矿浮选控制研究报告[M].,1999..
  • 3[1]Sadr Kazemi N and Cilliers J J.An image processing algorithm for measurement of flotation froth bubble size and shape distributions.Mineral Engineering,1997 10,(10):1075~1083
  • 4[2]Symonds P J and De Jager G. A technique for automatically segmenting images of the surface froth structures that are prevalent in flotation cells.Proceedings of the 1992 South African Symposium on Communications and Signal Processing.University of Cape Town,Rondebosch,South Africa,1992(9),111~115
  • 5[3]Guarini M,Cipriano A,Soto A & Cuesalaga A.Using image processing techniques to evaluate the quality of mineral flotation process.In Proceedings of the 6th International Conference of Signal Processing,Applications and Technology,Boston,1995(10):1227~1231
  • 6[4]Cipriano A,Guarini M,Vidal R,Soto A et.A real time visual sensor for supervision of flotation cells.Mineral Engineering,1998,11(6):489~499
  • 7[5]Wang W X & Stephansson O.A Robust Bubble Delineation Algorithm for Froth Images.The second International Conference on Intelligent Processing and Manufacturing of Materials,1999(7):471~476
  • 8[6]Wang W X & Stephansson O &.Automatic Selection of Fragment Images from A Moving Conveyor Belt.Mining Engineering.1996,48(8):83~88
  • 9[7]Wang W X and Stephansson O.Image software and algorithms for froth analysis in mineral processing.Konferens I Mineralteknik,den 8~9 februari,Lulea,Sweden,2000:279~293
  • 10[8]Wang W X and Wang L Y.Froth image segmentation algorithm validation,ICSP 2000 (International Conference on Signal Processing).16th IFIP World Computer Congress,August ,Beijing,China,2000:2042~2045.

共引文献52

同被引文献201

引证文献26

二级引证文献123

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部