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基于中高级智能技术的煤炭井工开采管控模式

李浩荡 丁震 张凯 罗会强 曹正远 崔文 尤秀松 赵星宇 孟广瑞 孙江 邓文革

李浩荡, 丁震, 张凯, 等. 基于中高级智能技术的煤炭井工开采管控模式[J]. 工矿自动化, 2022, 48(2): 1-10. doi: 10.13272/j.issn.1671-251x.17877
引用本文: 李浩荡, 丁震, 张凯, 等. 基于中高级智能技术的煤炭井工开采管控模式[J]. 工矿自动化, 2022, 48(2): 1-10. doi: 10.13272/j.issn.1671-251x.17877
LI Haodang, DING Zhen, ZHANG Kai, et al. Management and control mode of underground coal mining based on medium and high-level intelligent technology[J]. Industry and Mine Automation, 2022, 48(2): 1-10. doi: 10.13272/j.issn.1671-251x.17877
Citation: LI Haodang, DING Zhen, ZHANG Kai, et al. Management and control mode of underground coal mining based on medium and high-level intelligent technology[J]. Industry and Mine Automation, 2022, 48(2): 1-10. doi: 10.13272/j.issn.1671-251x.17877

基于中高级智能技术的煤炭井工开采管控模式

doi: 10.13272/j.issn.1671-251x.17877
基金项目: 

国家自然科学基金项目(52104169)。

详细信息
    作者简介:

    李浩荡(1981-),男,河北柏乡人,教授级高级工程师,硕士研究生导师,主要研究方向为煤炭行业高质量发展、煤矿智能化技术和煤矿冲击地压防治,E-mail:10000338@chnenergy.com.cn。

  • 中图分类号: TD821

Management and control mode of underground coal mining based on medium and high-level intelligent technology

  • 摘要: 煤炭是我国兜底保障能源,未来一段时间内在能源中的主体地位不会改变,煤炭智能开采将呈现快速发展态势,迈进新的发展阶段。经归纳分析,总结出煤矿智能化建设的重大意义、发展规律、矛盾问题、建设方法和未来发展方向。系统阐述了我国煤炭开采技术和管理模式的变革历程,总结了人工开采、普通开采、综合机械化开采、自动化开采、初级智能化开采5个阶段及对应的技术模式。突破传统煤矿采掘机运通等智能化研究思路,提出煤炭中高级智能开采技术的10个表征,即煤矿完全透明、感知全面智慧、装备高端智能、网络实时可靠、平台集成操控、数据智能分析、群体协同智能、队伍员工职业、决策智慧动态、灾害防控匹配,并给出每个表征的定义、特点、内容、功能等。以中高级智能技术为前提,构思出相对应的煤炭井工开采"1+1"管控新模式,即1个煤矿设置1个层级,构建"1个指挥控制中心+1个专业化队伍"的扁平化平台式管控新模式,以推进生产方式变革,匹配未来智能化快速发展对应开采模式需求,实现真正意义的减人、增安、提效。最后,对煤矿智能化开采技术和模式进一步发展进行了展望。

     

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出版历程
  • 收稿日期:  2021-12-25
  • 修回日期:  2022-01-05
  • 网络出版日期:  2022-03-01

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