基于大数据分析的选煤过程优化策略  

Optimization Strategy of Coal Preparation Process Based on Big Data Analysis

作　　者：杨晓 YANG Xiao(Coal Washing and Processing Center of Zaozhuang Mining Group,Zaozhuang Shandong 277000)

机构地区：[1]枣庄矿业集团煤炭洗选加工中心,山东枣庄277000

出　　处：《中国科技纵横》2025年第1期78-80,共3页China Science & Technology Overview

摘　　要：随着科技的进步,大数据分析已经成为提升工业生产效率和质量的关键技术。在选煤行业中,运用大数据分析可以实现设备故障的预测与健康管理,优化产品质量监控,改进生产流程,实现更有效的能源管理。本文介绍了大数据分析的技术基础,包括数据采集、存储管理以及分析方法,强调了大数据分析在选煤过程中的重要性,并提出了具体的应用策略。通过这些策略,选煤企业可以基于历史数据建立预测模型,预测并管理设备故障,提升煤炭质量,实现产品质量持续优化。同时,利用数据驱动的能耗优化策略,实现能源的有效管理和节能降耗。With the advancement of technology,big data analysis has become a key technology for improving industrial production efficiency and quality.In the coal preparation industry,the use of big data analysis can achieve equipment failure prediction and health management,optimize product quality monitoring,improve production processes,and achieve more effective energy management.This article introduces the technical foundation of big data analysis,including data collection,storage management,and analysis methods.It emphasizes the importance of big data analysis in the coal preparation process and proposes specific application strategies.Through these strategies,coal preparation enterprises can establish predictive models based on historical data,predict and manage equipment failures,improve coal quality,and achieve continuous optimization of product quality.Meanwhile,utilizing data-driven energy consumption optimization strategies to achieve effective energy management and energy conservation.

关 键 词：大数据分析 选煤过程 优化策略 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]