摘要
矿山数字化集矿山管理、生产、设计、地质勘察、测绘、开采、调度于一体,实现矿山数字化可以充分合理地开采资源,高效组织矿山生产,降低工人劳动强度,提高矿山企业经济、社会效益。而构建数字化矿山模型过程中,涉及到大量数据的合理组织和有效利用。针对数字化矿山过程中产生积累的大量数据,以新的视角分析了应用数据挖掘的基础和数据特点,讨论了数据挖掘的基本思想,提出了集成数据挖掘的模型结构,为数字化矿山及矿山管理决策提出了一条新的途径。
The mine digitalization integrates mine management, production, design, geological exploration, mapping, mining and dispatching, and its realization can fully exploit the resource in a rational way, efficiently organize the mine production, reduce the labor strength and improve the mining enterprise economic and social benefits. The process of building a digitalized mine model will involve the rational organization and effective utilization of a great amount of data. In view of the large number of data accumulated in the mine digitalization process, the paper analyzes the basis for the applied data mining and the data characteristics from a new visual angle, discusses the basic thought of data mining and puts forward the model structure of integrated data mining so as to provide a new route to the decision - making on digitalized mine and mine management.
出处
《金属矿山》
CAS
北大核心
2007年第6期19-21,共3页
Metal Mine
基金
陕西省自然科学基金项目(编号:2005F8)。
