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煤矿智能化建设中的共性难题与技术升级路径.

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Title: 煤矿智能化建设中的共性难题与技术升级路径.
Alternate Title: Common difficulties and technology upgrade path of coal mine intelligent construction.
Authors: 王国法1,2,3 wangguofa@tdkcsj.com, 富佳兴3,4,5,6, 张建明7, 任怀伟3,8, 王 峰2, 张 亮3,5,6
Source: Coal Science & Technology (0253-2336). May2026, Vol. 54 Issue 5, p1-11. 11p.
Subject Terms: *Technological innovations, *Mining machinery, *Standardization, *Emergency management, *Cost benefit analysis, *Autonomous vehicles
Geographic Terms: China
Abstract (English): The present situation, common challenges, and technological upgrade pathways for intelligent coal mine development in China are analyzed. Based on construction practices from 2020 to 2025, it identifies that intelligent coal mine development has entered an "intermediate bottleneck" phase, facing five major core technological challenges: unresolved breakthroughs in critical core technologies that hinder implementation effectiveness; a superficial contradiction between investment and immediate economic returns; insufficient technical maturity in the standardization framework; lagging evolution of new production models; and inadequate system operational resilience. To address these issues, solutions including a "bottom-up" approach to overcome foundational technological barriers are proposed, establish a four-dimensional economic evaluation model, refine standard classification levels, reform management systems, and create a closedloop integrated model encompassing construction, operation, and maintenance. During the 15th Five-Year Plan period, the strategy focuses on optimizing project organizational support, enhancing routine operational capabilities, establishing standardized intelligent project economic evaluation models and assessment mechanisms, and improving standard system maturity to achieve breakthroughs in 12 key technologies across five critical areas: comprehensive integration of mining, transportation, safety, and support systems; trustworthy largescale models and data fusion; high-quality sensing, transmission, computing, and control technologies; intelligent mining equipment for unconventional scales (ultra-high, ultra-thin, ultra-long) and complex conditions; auxiliary mining robots with embodied intelligence; network infrastructure capabilities; professional large-model and data fusion applications; multi-modal intelligent disaster prevention; unmanned main transportation systems; intelligent, efficient continuous auxiliary transportation; transparent geological analysis; specialized auxiliary robots with embodied intelligence; smart power supply and face voltage optimization; unmanned intrinsically safe ventilation; minimally staffed integrated control tunneling; unmanned high-order intelligent mining; safety-oriented intelligent collaborative technologies for open-pit mining operations; and intelligent washing, storage, and transportation systems for "black-light factories". Four-tier iterative development patterns in coal mine intelligence are summarized: from standalone automation to system-wide intelligence: from technology-driven to data-business dual-driven advancement; from human-machine control to collaborative operations; and from safety-first to efficient, green synergy. It proposes a three-tier architecture (perception-execution, network transmission, cognitive decision-making) to guide the technological evolution toward fully intelligent mines throughout their lifecycle. [ABSTRACT FROM AUTHOR]
Abstract (Chinese): 分析了我国煤矿智能化建设现状、共性难题及技术升级发展路径。基于 2020—2025 年建设 实践, 指出当前煤矿智能化建设已进入"中级瓶颈"阶段, 面临五大核心技术挑战: 部分硬核技术尚 未突破制约建设成效、投资与当前直接经济效益表面矛盾凸显、标准体系技术成熟度支撑不足、新 质生产关系滞后、系统常态化运行能力不足。针对以上问题, 提出"自下而上"突破底层技术、构建 四区域经济评价模型、细化标准等级、重塑管理体系及构建"建设−运营−运维"闭环联动模式等破题 思路。提出"十五五"时期以优化项目组织保障, 强化常态化运维能力、智能化项目经济评价模型标 准及考核机制、标准体系成熟度等条件支撑, 突破 5 个方向的 12 项关键技术为新路径推进煤矿智能 化技术升级应用: 聚焦采掘运安及保障等多系统综合集成、可信大模型及数据融合、高质量感传算 控技术装备、超高极薄超长等非常规尺度和复杂条件智能开采技术装备、煤矿辅助作业机器人及其 具身智能等 5 个方向; 突破网络综合承载、专业大模型与数据融合应用, 灾害多模态智能防控, 无 人值守主运输, 智能高效连续辅助运输, 透明地质, 特种辅助作业具身智能机器人, 智能供电与工 作面电压升级, 无人化本安智能通风, 少人化集成控制掘进, 无人化高阶数智开采, 露天煤矿采剥 作业链安全智能协同成套技术及连续开采工艺装备, 智能分选与储装运黑灯工厂等 12 项技术。总结 煤矿智能化的四梯度迭代发展规律: 从单机自动化到系统智能化、技术驱动到数据业务双轮驱动、 人控机控到人机协同、安全优先到高效绿色协同。提出了煤矿智能化围绕感知执行、网络传输、认 知决策 3 层架构, 实现全生命周期智慧矿山的技术演进路径。 [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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  Data: 煤矿智能化建设中的共性难题与技术升级路径.
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  Data: Common difficulties and technology upgrade path of coal mine intelligent construction.
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  Data: <searchLink fieldCode="DE" term="%22China%22">China</searchLink>
– Name: Abstract
  Label: Abstract (English)
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  Data: The present situation, common challenges, and technological upgrade pathways for intelligent coal mine development in China are analyzed. Based on construction practices from 2020 to 2025, it identifies that intelligent coal mine development has entered an "intermediate bottleneck" phase, facing five major core technological challenges: unresolved breakthroughs in critical core technologies that hinder implementation effectiveness; a superficial contradiction between investment and immediate economic returns; insufficient technical maturity in the standardization framework; lagging evolution of new production models; and inadequate system operational resilience. To address these issues, solutions including a "bottom-up" approach to overcome foundational technological barriers are proposed, establish a four-dimensional economic evaluation model, refine standard classification levels, reform management systems, and create a closedloop integrated model encompassing construction, operation, and maintenance. During the 15th Five-Year Plan period, the strategy focuses on optimizing project organizational support, enhancing routine operational capabilities, establishing standardized intelligent project economic evaluation models and assessment mechanisms, and improving standard system maturity to achieve breakthroughs in 12 key technologies across five critical areas: comprehensive integration of mining, transportation, safety, and support systems; trustworthy largescale models and data fusion; high-quality sensing, transmission, computing, and control technologies; intelligent mining equipment for unconventional scales (ultra-high, ultra-thin, ultra-long) and complex conditions; auxiliary mining robots with embodied intelligence; network infrastructure capabilities; professional large-model and data fusion applications; multi-modal intelligent disaster prevention; unmanned main transportation systems; intelligent, efficient continuous auxiliary transportation; transparent geological analysis; specialized auxiliary robots with embodied intelligence; smart power supply and face voltage optimization; unmanned intrinsically safe ventilation; minimally staffed integrated control tunneling; unmanned high-order intelligent mining; safety-oriented intelligent collaborative technologies for open-pit mining operations; and intelligent washing, storage, and transportation systems for "black-light factories". Four-tier iterative development patterns in coal mine intelligence are summarized: from standalone automation to system-wide intelligence: from technology-driven to data-business dual-driven advancement; from human-machine control to collaborative operations; and from safety-first to efficient, green synergy. It proposes a three-tier architecture (perception-execution, network transmission, cognitive decision-making) to guide the technological evolution toward fully intelligent mines throughout their lifecycle. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label: Abstract (Chinese)
  Group: Ab
  Data: 分析了我国煤矿智能化建设现状、共性难题及技术升级发展路径。基于 2020—2025 年建设 实践, 指出当前煤矿智能化建设已进入"中级瓶颈"阶段, 面临五大核心技术挑战: 部分硬核技术尚 未突破制约建设成效、投资与当前直接经济效益表面矛盾凸显、标准体系技术成熟度支撑不足、新 质生产关系滞后、系统常态化运行能力不足。针对以上问题, 提出"自下而上"突破底层技术、构建 四区域经济评价模型、细化标准等级、重塑管理体系及构建"建设−运营−运维"闭环联动模式等破题 思路。提出"十五五"时期以优化项目组织保障, 强化常态化运维能力、智能化项目经济评价模型标 准及考核机制、标准体系成熟度等条件支撑, 突破 5 个方向的 12 项关键技术为新路径推进煤矿智能 化技术升级应用: 聚焦采掘运安及保障等多系统综合集成、可信大模型及数据融合、高质量感传算 控技术装备、超高极薄超长等非常规尺度和复杂条件智能开采技术装备、煤矿辅助作业机器人及其 具身智能等 5 个方向; 突破网络综合承载、专业大模型与数据融合应用, 灾害多模态智能防控, 无 人值守主运输, 智能高效连续辅助运输, 透明地质, 特种辅助作业具身智能机器人, 智能供电与工 作面电压升级, 无人化本安智能通风, 少人化集成控制掘进, 无人化高阶数智开采, 露天煤矿采剥 作业链安全智能协同成套技术及连续开采工艺装备, 智能分选与储装运黑灯工厂等 12 项技术。总结 煤矿智能化的四梯度迭代发展规律: 从单机自动化到系统智能化、技术驱动到数据业务双轮驱动、 人控机控到人机协同、安全优先到高效绿色协同。提出了煤矿智能化围绕感知执行、网络传输、认 知决策 3 层架构, 实现全生命周期智慧矿山的技术演进路径。 [ABSTRACT FROM AUTHOR]
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        Value: 10.12438/cst.2026-0226
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              Text: May2026
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