煤炭工程 ›› 2024, Vol. 56 ›› Issue (4): 204-209.doi: 10. 11799/ ce202404031

• 研究探讨 • 上一篇    下一篇

基于大数据的煤炭企业决策模型研究与应用

辛德林,陈一兵,刘姣,李匡正   

  1. 中煤科工集团 武汉设计研究院有限公司,湖北 武汉 430064
  • 收稿日期:2023-06-12 修回日期:2023-08-25 出版日期:2023-04-20 发布日期:2024-12-09
  • 通讯作者: 陈一兵 E-mail:cybjxq@163.com

Research and application of decision-making model for coal enterprises based on big data

  • Received:2023-06-12 Revised:2023-08-25 Online:2023-04-20 Published:2024-12-09

摘要:

煤矿的安全生产运营离不开大数据的支持,为利用大数据分析技术和业务模型,给经营决策提供支持,从而实现效益最大化。文章结合当前大型煤炭能源企业在发展大数据方面所具有的信息化基础,探讨研究大数据在企业经营智能决策中的应用,根据国能BT煤炭部门实际生产经营数据,创建了生产优化模型、月度自产煤供应量及外购煤采购量计算模型和决策模型,并将模型部署至服务器,应用于煤矿WL和煤矿LJH,结果表明模型表现良好,并通过对煤矿实际数据的实证分析,验证了该模型的有效性。

关键词: 决策分析 , 生产优化 , 线性规划 , 智能化管理

Abstract:

Coal is the main energy in China, and its dominant position will not change fundamentally in the next 30 years, but with the reform of the coal supply side structure, coal enterprises face the pressure of reducing production capacity. Because of the complexity of coal industry production conditions and the complexity of coal management structure, coal enterprises have an urgent need for data management and business decision-making. Therefore, this paper combines the information foundation of the current large coal energy enterprises in the development of big data, discusses the application of big data in enterprise intelligent decision-making, according to the actual production and operation data of BT coal department of National Energy, creates the production constraint model, monthly coal supply and coal purchase calculation model and decision-making model. The model is deployed to the server and applied to coal mine WL and coal mine LJH. The results show that the model performs well. The validity of the model is verified by empirical analysis of the actual data of coal mine.

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