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煤矿灾害智能预警架构及关键技术研究

丁震 李浩荡 张庆华

丁震,李浩荡,张庆华. 煤矿灾害智能预警架构及关键技术研究[J]. 工矿自动化,2023,49(4):15-22.  doi: 10.13272/j.issn.1671-251x.2022090016
引用本文: 丁震,李浩荡,张庆华. 煤矿灾害智能预警架构及关键技术研究[J]. 工矿自动化,2023,49(4):15-22.  doi: 10.13272/j.issn.1671-251x.2022090016
DING Zhen, LI Haodang, ZHANG Qinghua. Research on intelligent hazard early warning architecture and key technologies for coal mine[J]. Journal of Mine Automation,2023,49(4):15-22.  doi: 10.13272/j.issn.1671-251x.2022090016
Citation: DING Zhen, LI Haodang, ZHANG Qinghua. Research on intelligent hazard early warning architecture and key technologies for coal mine[J]. Journal of Mine Automation,2023,49(4):15-22.  doi: 10.13272/j.issn.1671-251x.2022090016

煤矿灾害智能预警架构及关键技术研究

doi: 10.13272/j.issn.1671-251x.2022090016
基金项目: 国家自然科学基金区域创新发展联合基金资助项目(U21A20110)。
详细信息
    作者简介:

    丁震(1980—),男,山西万荣人,高级工程师,主要从事煤矿机电技术、煤矿智能化、露天矿卡车无人驾驶方面的研究及管理工作,E-mail:zhen.ding@chnenergy.com.cn

  • 中图分类号: TD67

Research on intelligent hazard early warning architecture and key technologies for coal mine

  • 摘要: 我国已初步实现对煤矿瓦斯、火灾、水害、顶板、粉尘五大灾害的监测报警或预警,但智能化水平较低,不具备自我分析和决策能力。在智慧矿山概念框架下,阐述了煤矿灾害智能预警的内涵,提出了灾害智能预警的感知数据精准化、预警模型智能化、预警防灾协同化、应急决策高效化4个方面的特征。设计了煤矿灾害智能预警总体架构:由感知控制层、传输层、存储分析层和应用层4个层级组成,可实现对各类灾害的智能预警和智能管控;采用统一标准、统一采集、统一存储、统一分析、统一展现的数据处理原则,实现灾害智能预警多源异构数据共享与深度挖掘利用,从而解决数据孤岛、数据烟囱等问题。基于煤矿灾害智能预警总体架构,设计了灾害智能预警业务流程,为灾害智能预警设计提供参考。总结了煤矿灾害智能预警关键技术,包括瓦斯、火灾、水害、顶板、粉尘精准监测预警技术和灾害融合智能预警技术,分析了各关键技术难点及发展方向。以青龙寺煤矿灾害智能预警平台为实例,展示了灾害智能预警技术在监测监控、灾害预警、应急救援、分级管控等方面的应用效果。提出应深入研究灾害精准感知技术及装备、多场耦合致灾机理、预警模型自学习自适应技术,以实现高级阶段的灾害智能化预警。

     

  • 图  1  灾害智能预警总体架构

    Figure  1.  Architecture of intelligent hazard early warning for coal mine

    图  2  灾害智能预警业务流程

    Figure  2.  Business flow of intelligent hazard early warning

    图  3  青龙寺煤矿灾害智能预警平台

    Figure  3.  Intelligent hazard early warning platform of Qinglongsi Coal Mine

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出版历程
  • 收稿日期:  2022-09-06
  • 修回日期:  2023-04-10
  • 网络出版日期:  2023-04-27

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