基于数据挖掘的采场稳定性的知识获取与应用

Acquirement and Application of Knowledge Concerning Stope Stability Based on Data Mining

利用数据挖掘技术 ,从已获得的大量有关采场稳定性的数据中 ,提取出可以理解的模式 ,从而有效地认识矿山采场稳定性的动态变化规律 ,发现新的知识。在此基础上 ,可以根据获得的现场资料 ,预测采场的稳定性。本文的实例研究证明 。

An understandable mode is extracted from the numerous data acquired about stope stability utilizing data mining technology. As a result, new knowledge may be discovered through an effectively understanding of the dynamic varying rules of the stope stability. Therefore, based on the field data obtained, stope stability can be forecasted. A case study presented in the paper shows that data mining offers a very effective solution to analysis and forecasting of stope stability.