摘要
随着全球能源需求的持续增长,煤炭作为重要的能源资源,其开采效率和安全性成为了行业关注的焦点。传统的采煤方式往往面临着效率低下、安全隐患大等问题。在这一背景下,大数据技术的崛起为智慧采煤技术的发展提供了新的契机。大数据技术的应用,不仅能够实现煤矿生产数据的实时采集、处理和分析,还能够通过机器学习、深度学习等先进技术对采煤过程进行智能化优化,从而提高采煤效率、降低生产成本,并保障安全生产,研究大数据在智慧采煤技术中的应用,对于推动煤矿产业的转型升级、实现可持续发展具有重要意义。
With the continuous growth of global energy demand,coal,as an important energy resource,has become the focus of the industry's attention for its mining efficiency and safety.Traditional coal mining methods often face problems such as low efficiency and safety hazards.In this context,the rise of big data technology provides a new opportunity for the development of intelligent coal mining technology.The application of big data technology can not only realize the real-time collection,processing and analysis of coal mine production data,but also carry out intelligent optimization of the coal mining process through machine learning,deep learning and other advanced technologies,so as to improve the efficiency of coal mining,reduce the production cost,and ensure safe production,and the study of the application of big data in the intelligent coal mining technology has an important significance.
作者
马瑞鹏
王印凯
Ma Ruipeng;Wang Yinkai(North China Institute of Science and Technology,Langfang Hebei 065000,China;Zhengzhou Coal and Power Co.,Ltd.Lugou Coal Mine,Zhengzhou Coal and Electricity Company Limited.,Zhengzhou Henan 452370,China)
出处
《现代工业经济和信息化》
2024年第8期68-70,共3页
Modern Industrial Economy and Informationization
关键词
大数据
煤炭
智慧采煤
数据分析
big data
coal
intelligent coal mining
data analysis