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

作　　者：白晓慧 BAI Xiao-hui(Jiangsu China Coal Geological Engineering Research Institute Co.,LTD.,Changzhou 213017,China)

机构地区：[1]江苏中煤地质工程研究院有限公司,江苏常州213017

出　　处：《世界有色金属》2025年第2期50-52,共3页World Nonferrous Metals

摘　　要：在矿山形变测量方面,传统的手动测量方法难以提供实时、准确的数据支持。大数据分析技术通过实时数据的采集、存储、处理和分析,有效提高矿山监控系统的精确度和响应速度,为矿山自动化监控提供了新的解决方案。本文对大数据分析技术在矿山自动化监控中的应用进行了详细的探讨,特别关注其在形变测量方面的应用效果。通过对数据采集与处理、存储管理、分析模型和预测预警等方面的评估,展示了大数据技术在提高矿山监控效率和安全管理方面的潜力,以期为矿山安全生产提供技术参考。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 

分 类 号：TD324[矿业工程—矿井建设]