摘要
随着煤矿信息化与智能化建设工作的不断推进,灾害治理与安全生产的要求日益提高,各类灾害事故的频发使灾害预警系统的重要性更突显。传统煤矿灾害预警系统难以挖掘分析各种监测信息的数据特征,对海量灾害监测数据利用率较低,导致预警的可信度不高。探讨煤矿灾害预警平台的设计、研发和应用情况,利用数据挖掘分析技术,构建预警指标体系与灾害预警模型,对潜在灾害开展早期预警,降低事故发生的风险,从而提高煤矿安全生产水平。
With the continuous advancement of coal mine informatization and intelligent construction,the requirements for disaster management and safety production are getting higher and higher.The frequent occurrence of various disaster accidents makes the importance of disaster early warning systems more prominent.Traditional coal mine disaster early warning systems are difficult to mine and analyze the data characteristics of various monitoring information,and their utilization rate of massive disaster monitoring data is low,resulting in low credibility of early warnings.This article discusses the design,development and application of the coal mine disaster early warning platform,and uses data mining analysis technology to build an early warning indicator system and disaster early warning model to carry out early warning of potential disasters,thereby reduce the risk of accidents,and improve the level of safe production in coal mines.
作者
汪锦阜
陈运启
王建平
张智强
周明涵
WANG Jinfu;CHEN Yunqi;WANG Jianping;ZHANG Zhiqiang;ZHOU Minghan(Sinopower Inner Mongolia Energy Co.,Ltd.,Ordos,Inner Mongolia 017209,China;Chongqing Research Institute,China Coal Technology Engineering Group,Chongqing 400039,China)
出处
《自动化应用》
2024年第S01期439-441,共3页
Automation Application
关键词
煤矿灾害
事故风险
数据分析
预警指标
预警模型
coal mine disaster
accident risk
data analysis
early warning indicators
early warning model