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新一代信息技术赋能煤矿装备数智化转型升级

金智新 闫志蕊 王宏伟 李正龙 史凌凯

金智新,闫志蕊,王宏伟,等. 新一代信息技术赋能煤矿装备数智化转型升级[J]. 工矿自动化,2023,49(6):19-31.  doi: 10.13272/j.issn.1671-251x.18123
引用本文: 金智新,闫志蕊,王宏伟,等. 新一代信息技术赋能煤矿装备数智化转型升级[J]. 工矿自动化,2023,49(6):19-31.  doi: 10.13272/j.issn.1671-251x.18123
JIN Zhixin, YAN Zhirui, WANG Hongwei, et al. The new generation of information technology empowers the digital and intelligent transformation and upgrading of coal mining equipment[J]. Journal of Mine Automation,2023,49(6):19-31.  doi: 10.13272/j.issn.1671-251x.18123
Citation: JIN Zhixin, YAN Zhirui, WANG Hongwei, et al. The new generation of information technology empowers the digital and intelligent transformation and upgrading of coal mining equipment[J]. Journal of Mine Automation,2023,49(6):19-31.  doi: 10.13272/j.issn.1671-251x.18123

新一代信息技术赋能煤矿装备数智化转型升级

doi: 10.13272/j.issn.1671-251x.18123
基金项目: 中国工程院咨询研究项目(2022SX2,2021SX3);山西省科技计划揭榜招标资助项目(20201101005);山西省基础研究计划资助项目(202203021212275)。
详细信息
    作者简介:

    金智新(1959—),男,辽宁锦州人,教授级高级工程师,中国工程院院士,博士,主要研究方向为煤炭智能开采技术与煤矿安全工程管理,E-mail:jinzhixin@tyut.edu.cn

    通讯作者:

    闫志蕊(1993—),女,山西吕梁人,博士研究生,主要研究方向为煤矿机电智能化控制技术,E-mail:mjlayue29@163.com

  • 中图分类号: TD67

The new generation of information technology empowers the digital and intelligent transformation and upgrading of coal mining equipment

  • 摘要: 当前,煤矿智能化建设正处于初级向中高级智能化过渡探索期,现有智能装备自主创新能力尚需加强,核心技术“卡脖子”,井下复杂赋存条件下可靠性问题突出,如何利用新一代信息技术,纵深推动煤矿装备数智化转型升级,以数字化、智能化推动煤炭安全高效绿色开采具有重要意义。回顾了我国煤炭开采技术与装备智能化发展的演进过程,分析了煤炭开采各阶段的生产特征,认为煤矿智能化彻底改变了煤炭生产方式,生产要素以智能装备、智能化系统和复合型技术人才为主,从本质上提升了煤矿安全高效生产水平,助推煤矿实现减人增安提效。其中智能煤矿装备是煤矿智能化的核心要素,面对未来煤矿装备数智化转型发展的需求,探索了新一代信息技术与煤矿装备融合发展的路径,即以装备为智能化载体,通过新一代信息技术赋予装备智能感知与分析、智能判断与推理、智能决策与控制、智能诊断与学习的类人化智能化能力,并构建了物联网、5G、大数据、云计算、人工智能技术赋能煤矿装备智能感知、智能传输、智能分析、智能计算和智能决策的系统架构。深入分析了煤矿装备数智化发展过程中存在的理论、技术和人才难题,提出了煤矿装备数智化发展的建议:夯实基础是第一要务,须构建煤矿装备智能化顶层设计理论体系,加强关键核心技术攻关,加快新型基础设施建设,夯实煤矿智能化发展根基;煤矿装备智能化技术与煤矿特殊应用场景协同耦合发展,贴近煤矿井下现场需求,形成煤矿专用场景智能化技术,探索装备数智融合创新模式;智能技术与绿色开采技术相互融合促进,打造数字化、智能化、绿色化装备,开发煤炭智能高效低碳开采新模式,促进煤炭生产节能降耗;建立健全煤矿智能化人才培养体系,培养多学科交叉复合型人才,为煤矿智能化建设增强人才储备力量。

     

  • 图  1  煤炭开采技术的演进及生产特征

    Figure  1.  Evolution and production characteristics of coal mining technology

    图  2  中国GDP与煤炭产量随煤矿智能化发展的变化

    Figure  2.  Relationship between China's GDP and coal production with the development of coal mine intelligence

    图  3  2002−2022年中国煤矿安全生产形势变化

    Figure  3.  Changes in China's coal mine safety production situation from 2002 to 2022

    图  4  煤矿智能装备系统类人化结构对照

    Figure  4.  Comparison of humanized structure of intelligent equipment system in coal mine

    图  5  煤矿装备物联网智能感知系统架构

    Figure  5.  Architecture of IoT intelligent perception system for coal mine equipment

    图  6  基于5G的掘进装备远程集控网络架构

    Figure  6.  Remote centralized control network architecture for tunneling equipment based on 5G

    图  7  煤矿装备大数据平台

    Figure  7.  Coal mine equipment big data platform

    图  8  煤矿装备大数据“云−边−端”协同应用架构

    Figure  8.  The "cloud-edge-terminal" collaborative application architecture of big data for coal mine equipment

    图  9  “煤矿机器人+人工智能”智能协同模式

    Figure  9.  Intelligent collaborative mode of "coal mine robot + artificial intelligence"

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  • 收稿日期:  2023-05-15
  • 修回日期:  2023-06-06
  • 网络出版日期:  2023-06-19

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