基于回归分析的矿井监控数据挖掘分析  

Analysis of Mine Monitoring Data Mining Based on Regression Analysis

作　　者：青梅 QING Mei(Hohhot Vocational College, Hohhot 010051, China)

机构地区：[1]呼和浩特职业学院,呼和浩特010051

出　　处：《煤炭技术》2018年第7期260-262,共3页Coal Technology

摘　　要：应用计算机、通信等技术可实现生产监控的自动化。在丰富信息中挖掘可利用的数据,建立合适的辅助决策模型,能够为矿井安全生产提供指导。选择R语言作为挖掘工具,选择矿井监测系统数据作为源数据,运用回归分析得到某煤矿己_(15-x)采面瓦斯浓度的回归方程。计算该回归方程,得到己_(15-x)采面瓦斯浓度的主要影响因素,并提出合理建议,为该煤矿瓦斯治理,提高矿井安全生产水平提供参考依据。The application of computer, communication and other technologies can produce monitoring automation. Mining useful data in rich information and establishing appropriate auxiliary decision model can provide guidance for mine safety production. R language is selected as the mining tool, and the mine monitoring system data is selected as the source data. The regression equation is used to get the regression equation of the gas concentration in the V115-x mining face of a coal mine. By calculating the regression equation, the main influencing factors of gas concentration in the W115-x mining face are obtained, and reasonable suggestions are put forward, which provides a reference for gas control in the coal mine and improving the safety production level of the mine.

关 键 词：监控 数据挖掘 回归分析 瓦斯浓度 

分 类 号：TD67[矿业工程—矿山机电]