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金属矿山 ›› 2008, Vol. 38 ›› Issue (05): 40-43.

• 采矿工程 • 上一篇    下一篇

基于数据挖掘的矿山生产技术指标优化研究

王兴东1,李克庆2   

  1. 1.鞍钢集团弓长岭矿业公司;2.北京科技大学
  • 收稿日期:2008-03-28 出版日期:2008-05-15 发布日期:2011-07-19

Research on Mine Technical Index Optimization Based on Data Mining Technology

Wang Xingdong1,Li Keqing2   

  1. 1. Gongchangling Mining Co.of An Steel Group;2.University of Science and Technology, Beijing
  • Received:2008-03-28 Online:2008-05-15 Published:2011-07-19

摘要: 通过对数据挖掘技术基本特征的分析,提出将其用于解决矿山生产技术指标优化过程中存在的数据量大、建模困难的问题。在确立基于数据挖掘的矿山技术指标优化系统的实施步骤的基础上,以弓长岭铁矿为背景,运用统计类和知识发现类数据挖掘技术,建立了地质、采矿、选矿、球团等生产技术指标之间的关系模型,并对其生产技术指标进行了系统优化。研究结果表明,将数据挖掘技术应用于矿山技术指标的优化不仅可行,而且行之有效。

关键词: 矿山技术指标, 数据挖掘技术, 优化

Abstract: Through the analysis of the basic characteristics of data mining technology, it was proposed to use it to solve the problems such as large volume of data and difficult modeling in optimizing the mine technical indexes. Based on the realization procedure of the mining technical indexes optimizing system based on the data mining, with Gongchangling Iron Mine as the background, data mining technology such as statistic and knowledge discovery was used to establish the model for the relationship between the production technical indexes of geology, mining, beneficiation and palletizing, and a systematic optimization was also made on these indexes. The research results show that the application of data mining technology in optimizing the mine technical indexes is not only feasible but effective.

Key words: Mine technical indexes, Data mining technology, Optimization