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大数据分析在矿山自动化监测中的应用研究

白晓慧

世界有色金属Issue(2):50-52,3.
世界有色金属Issue(2):50-52,3.

大数据分析在矿山自动化监测中的应用研究

Application study of big data analysis in mine automation monitoring

白晓慧1

作者信息

  • 1. 江苏中煤地质工程研究院有限公司,江苏 常州 213017
  • 折叠

摘要

Abstract

In terms of deformation measurement in mines,traditional manual measurement methods are difficult to provide real-time and accurate data support.Big data analysis technology effectively improves the accuracy and response speed of mine monitoring systems through real-time data collection,storage,processing,and analysis,providing new solutions for mine automation monitoring.This article provides a detailed exploration of the application of big data analysis technology in mining automation monitoring,with a particular focus on its effectiveness in deformation measurement.Through the evaluation of data collection and processing,storage management,analysis models,and predictive warning,the potential of big data technology in improving mining monitoring efficiency and safety management has been demonstrated,in order to provide technical reference for mining safety production.

关键词

大数据分析/矿山自动化监测/实时监测/数据采集/预测预警

Key words

big data analysis/automatic monitoring of mine/real-time monitoring/data acquisition/prediction and early warning

分类

矿业与冶金

引用本文复制引用

白晓慧..大数据分析在矿山自动化监测中的应用研究[J].世界有色金属,2025,(2):50-52,3.

世界有色金属

1002-5065

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