基于FG-Growth算法的煤矿信息化管理系统设计  

Design of Coal Mine Information Management System Based on FG-Growth Algorithm

作　　者：曾昱 ZENG Yu(Shanxi Coal International Energy Group Co.,Ltd.,Shanxi Coking Coal Group,Taiyuan 030001,Shanxi,China)

机构地区：[1]山西焦煤山煤国际能源集团股份有限公司,山西太原030001

出　　处：《能源与节能》2025年第2期36-39,共4页Energy and Energy Conservation

摘　　要：针对煤矿信息化管理系统在数据挖掘和数据管理方面存在的不足,提出基于FG-Growth算法的煤矿信息化管理系统设计。在系统硬件方面,对服务器、数据采集器进行选型与设计,利用服务器为系统运行提供计算机服务,利用数据采集器获取煤矿生产运行过程中的数据信息;在系统软件方面,通过数据库存储煤矿信息,采用FG-Growth算法挖掘煤矿数据、识别煤矿大数据中的异常信息,实现基于FG-Growth算法的煤矿信息化管理。实验证明,所设计系统的数据挖掘置信水平值在0.95及其以上,数据失真率不超过0.10%,在煤矿信息化管理方面具有良好的应用前景。In view of the shortcomings of the mine information management system in data mining and data management,the design of mine information management system based on FG-Growth algorithm was proposed.In terms of system hardware,the server and data collector were selected and designed,the server was used to provide computer services for the system operation,and the data collector was used to obtain the data information in the process of coal mine production and operation;in terms of system software,coal mine information was stored in database,and FG-Growth algorithm was used to mine coal mine data and identify abnormal information in coal mine big data,so as to realize coal mine information management based on FG-Growth algorithm.The experiment showed that the confidence level of the designed system was 0.95 and above,and the data distortion rate was less than 0.10%,which has a good application prospect in the information management of coal mine.

关 键 词：FG-Growth算法 煤矿 信息化 管理系统 数据挖掘 

分 类 号：TD67[矿业工程—矿山机电]