面向数据挖掘的数字化矿山建设全域模型
李辉，高维亚
（湖北鑫龙源矿业有限公司，湖北 蕲春 435300）
摘要： 在大数据技术逐渐成熟的背景下，矿山建设也可通过应用数据挖掘技术提升其信息化水平。因此，提出并设
计了一种面向数据挖掘的数字化矿山建设全域模型。结合矿山的特点，利用数据挖掘技术进行数据预处理，并利用处理
后的数据建立了矿山建设全域模型。模型构建中，首先改进数据预处理分类算法，并对隐含层节点进行选取，最后基于
矿山开采的特征对全域进行修正，直到迭代次数达到最大值，停止修正，实现数字化矿山建设全域模型的建立。该模型
在实际矿山建设中的应用，有效减少了矿山开采的安全事故。
关键词： 数据挖掘；数字化；矿山建设；全域模型；分类算法；全域修正
中图分类号： TD2     文献标志码： A     文章编号： 2095-0802-(2022)07-0204-03
Macrocosm Model of Digital Mine Construction for Data Mining
LI Hui, GAO Weiya
(Hubei Xinlongyuan Mining Co., Ltd., Qichun 435300, Hubei, China)
Abstract: Under the background of the gradual maturity of big data technology, mine construction can also improve its
informatization level through the application of data mining technology. Therefore, a macrocosm model of digital mine construction
for data mining was proposed and designed. Combined with the characteristics of the mine, data mining technology is used for
data preprocessing, and the macrocosm model of mine construction is established by using the processed data. In the model
construction, first improve the data preprocessing sorting algorithm, select the nodes in hidden layer, and finally modify the
macrocosm based on the characteristics of mine mining until the number of iterations reaches the maximum, stop the modification,
and realize the establishment of the macrocosm model of digital mine construction. The application of the model in actual mine
construction effectively reduces the safety accidents of coal mining.

Key words: data mining; digitization; mine construction; macrocosm model; sorting algorithms; macrocosm correction