煤炭工程 ›› 2021, Vol. 53 ›› Issue (9): 0-0.

• 工程管理 •    下一篇

煤炭行业大数据分析云平台的设计研究

汪杰1,王春华1,李晓华2,余克莉莎1   

  1. 1. 贵州省矿山安全科学研究院
    2. 贵州省煤矿设计研究院有限公司
  • 收稿日期:2020-08-24 修回日期:2020-11-13 出版日期:2021-09-20 发布日期:2021-10-25
  • 通讯作者: 王春华 E-mail:1738751088@qq.com

Design and Research of Big Data Analysis Cloud Platform in Coal Industry

  • Received:2020-08-24 Revised:2020-11-13 Online:2021-09-20 Published:2021-10-25

摘要: 为解决煤炭行业大数据存储、共享及处理与分析等难题,进而提升煤炭行业管理和辅助决策水平,笔者以贵州煤矿智能化升级改造为契机,通过文献研究、现场调研、专家咨询等方法,基于B/S结构设计了由数据采集层、平台支撑层、应用层及访问层组成的煤炭行业大数据分析云平台总体架构,并详细阐述了煤矿辅助生产系统智能化实时数据上云方案,同时构建了包括煤炭分布、煤炭规划、调度统计、预测预警、远程监控、科技创新等六大功能模块,最后按照总体设计方案搭建了煤炭行业大数据分析云平台,实现了对煤炭行业的全面监测和管理。应用效果表明,平台能够为政府监管部门、煤炭企业管理、科研机构及煤炭消费者等提供有效的数据支撑。

关键词: 煤炭行业大数据, 煤矿智能化, 大数据分析, 云平台

Abstract: In order to solve the problems of big data storage, sharing, processing and analysis in the coal industry, and to improve the management and auxiliary decision-making level of the coal industry, the author took the intelligent upgrading and transformation of Guizhou coal mines as an opportunity, through literature research, field research, expert consultation and other methods, based on The B/S structure designs the overall architecture of the coal industry big data analysis cloud platform consisting of data acquisition layer, platform support layer, application layer and access layer, and elaborates the intelligent real-time data cloud platform for coal mine auxiliary production system. Six functional modules including coal distribution, coal planning, scheduling statistics, forecasting and early warning, remote monitoring, and technological innovation were built. Finally, a big data analysis cloud platform for the coal industry was built according to the overall design plan to realize comprehensive monitoring and management of the coal industry . The application effect shows that the platform can provide effective data support for government regulatory agencies, coal enterprise management, scientific research institutions and coal consumers.

Key words: big data in the coal industry, intelligent coal mine, big data analysis, cloud platform