煤炭工程 ›› 2025, Vol. 57 ›› Issue (9): 10-17.doi: 10. 11799/ ce202509002

• 设计技术 • 上一篇    下一篇

李家壕煤矿多系统井下耦合联动关键技术研究

史志红,郭彪,陈鹏,孟金涛,乔旭,梁熙蓉   

  1. 1. 中煤科工集团北京华宇工程有限公司,北京 100120

    2. 北京和利时数字技术有限公司,北京 100176

    3. 和利时卡优倍科技有限公司,陕西 西安 710075

    4. 中国矿业大学(北京),北京 100083

  • 收稿日期:2025-02-20 修回日期:2025-06-27 出版日期:2025-09-10 发布日期:2025-10-13
  • 通讯作者: 乔旭 E-mail:qiaoxu@cumtb.edu.cn

Key technologies for underground coupled coordination of multi-systems in Lijiahao Coal Mine

  • Received:2025-02-20 Revised:2025-06-27 Online:2025-09-10 Published:2025-10-13

摘要:

针对李家壕煤矿智慧矿山平台建设中跨厂商、跨代际系统的深度协同问题,提出协同控制系统采用分层递阶结构,在通信接口层设计基于OPC UA的协议转换网关,实现RS485、工业以太网、LoRa等多协议兼容。在数据融合层采用强化学习算法进行多源数据融合,依据数据的动态变化自动调整交互策略。在智能联动层开发事件驱动的动态耦合算法,建立包含32个状态参数的联动决策矩阵。通过在李家壕煤矿的应用测试表明:与之前相比,应急联动响应时间缩短至9.7s,设备综合能效提升19.3%。通过构建统一通信协议栈与数据融合机制,建立跨系统的动态耦合模型,实现了矿山生产系统的智能化协同管控。

关键词:

智慧矿山 , 耦合联动 , 分层递阶 , 数字孪生 , 通信协议

Abstract:

To address the deep-level coordination challenges across multi-vendor and cross-generational systems during the construction of Lijiahao Coal Mine's smart mine platform, the proposed collaborative control system adopts a hierarchical control architecture. A hierarchical collaborative control system is proposed, featuring three core layers: 1) A communication interface layer with an OPC UA-based protocol conversion gateway enabling compatibility among RS485, industrial Ethernet, LoRa, and other protocols; 2) A data fusion layer employing reinforcement learning algorithms for spatiotemporal alignment of multi-source data, facilitating the construction of a mine digital twin; 3) An intelligent coordination layer incorporating an event-driven dynamic coupling algorithm and a decision matrix integrating 32 state parameters. Application testing at Lijiahao Coal Mine demonstrated significant improvements: emergency response time reduced to 9.7 seconds and comprehensive equipment energy efficiency enhanced by 19.3%. By constructing a unified communication protocol stack and data fusion mechanism, and establishing a dynamic coupling model across systems, intelligent collaborative management and control of the mine production system has been achieved.

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