首页|基于大数据的煤矿开采安全风险预警系统研究

基于大数据的煤矿开采安全风险预警系统研究

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随着煤矿开采技术的快速发展,加上开采规模的持续扩大,煤矿安全问题尤为关键.传统化的安全管理措施及风险预警机制,在应对现代煤矿安全及风险管控方面具有积极意义.文章主要选取利用大数据技术,构建煤矿开采安全风险预警系统.该系统应用的主要内容包含数据收集、处理并分析,重点在于挖掘煤矿作业过程中产生的大量数据,实现对安全风险的实时监控与预警功能,进而为煤矿的安全管理提供数据和决策支持.
Research on coal safety risk early warning system based on big data
With the rapid development of coal mining technology and the continuous expansion of mining scale,the problem of coal mine safety is particularly critical.The traditional safety management measures and risk early warning mechanism are of positive significance in dealing with modern coal mine safety and risk control.This research mainly selects the use of big data technology to build the coal mine safety risk early warning system.The main content of the application of the system includes data collection,processing and analysis,and the focus is on mining a large amount of data generated in the process of coal mine operation,to realize the real-time monitoring and early warning function of safety risks,and then provide data and decision support for the safety management of coal mines.

big datacoal miningsafetyrisk early warningsystem

刘建利

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山西锦兴能源有限公司,山西 兴县 033600

大数据 煤矿开采 安全 风险预警 系统

2024

中国高新科技
中华预防医学会,国家食品安全风险评估中心

中国高新科技

ISSN:
年,卷(期):2024.(21)