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中厚煤层超长工作面智能化控制关键技术研究与应用.

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Title: 中厚煤层超长工作面智能化控制关键技术研究与应用.
Alternate Title: Research and application of key technologies for intelligent control of super-long working face in medium-thick coal seam.
Authors: 李明忠1,2 limz@tdmarco.com, 乔永力1,3, 闫汝瑜4, 魏文艳2
Source: Coal Science & Technology (0253-2336). May2026, Vol. 54 Issue 5, p43-61. 19p.
Subject Terms: *Digital twin, *Multisensor data fusion, *Intelligent control systems, *Hydraulic motors, *Mining methodology
Geographic Terms: China
Abstract (English): In view of a series of key technical challenges faced by the mining of super-long working face in medium-thick coal seam in China, such as complex mine pressure, instability of equipment group cooperative control, insufficient real-time performance of system perception and decision-making, and the traditional production mode of "underground operation as the main part and ground intervention as the auxiliary part" is difficult to meet the requirements of safe, efficient and less-manual mining, this study aims to break through the key technology of intelligent control of super-long working face in medium-thick coal seam, realize the leap from local automation to system intelligence, and provide a systematic solution for the construction of ten million-ton modern mine. The research adopts the method of combining theoretical analysis, technology research and development, system integration and engineering practice verification. Firstly, the adaptive support and cooperative control technology of hydraulic support is developed, and the advanced prediction method based on the support state template curve library is constructed. The multi-sensor fusion attitude sensing system is used to realize the closed-loop control, and the data-driven intelligent liquid supply dynamic coupling control method is proposed, which forms an intelligent decision support system for adaptive following under complex geological conditions. Secondly, a multi-source fusion high-precision perception and digital twin technology system is constructed, which integrates three-dimensional laser measurement, visual recognition and inertial navigation correction to realize high-precision real-time reconstruction of working face space; a multi-physical field coupling mechanism model for hydraulic system is established. Based on this, a fault early warning and diagnosis method based on virtual and real combination is studied, and a hydraulic digital twin prototype system that can adaptively match application scenarios is developed. Furthermore, the dynamic self-optimization intelligent decision-making and collaborative scheduling technology is developed, including intelligent monitoring and load balance control of coal flow state of scraper conveyor based on AI vision, intelligent planning of coal cutting of shearer, linkage control of working face and two roadway equipment and intelligent anti-collision technology of shearer. Finally, a new intelligent mining mode of "aboveground decision-making-underground execution" is innovatively proposed. By constructing a remote control platform integrating ground intelligent monitoring center, big data analysis center and panoramic video stitching technology, complex data analysis and intelligent decision-making are moved up to the ground, and underground equipment is used as an autonomous execution terminal. The research results have been successfully applied in the related coal mines of Yankuang Energy (Ordos) Company Limited and Shaanxi Xiaobaodang Mining Company Limited. The engineering practice shows that after the application of this technical system, the propulsion degree of a single working face is increased by 15%-40%, the follow-up rate of hydraulic supports is not less than 95%, the number of workers in a single working face is reduced from 12 to less than 2, with a decrease of more than 83%. The efficient mining of an average of 16-18 coal mining cycles / d is realized, and the output of single-cut coal is increased by 31.25%-66.67%, creating an industry efficient record with an average speed of shearer not less than 15 m/min and a single coal mining cycle time less than 45 min. The research shows that the developed intelligent control system of super-long working face in medium-thick coal seam effectively solves the problems of collaborative control of equipment group, high-precision real-time perception and intelligent decision-making in complex mine pressure environment. The new model of "aboveground decision-making-underground execution" provides a new paradigm that can be replicated and popularized for intelligent mining in the industry, which significantly improves the recovery rate, mining efficiency and intrinsic safety level of coal resources. [ABSTRACT FROM AUTHOR]
Abstract (Chinese): 针对我国中厚煤层超长工作面开采面临的矿压显现复杂、设备群协同控制失稳、系统感知与 决策实时性不足, 以及传统"井下操作为主、地面干预为辅"生产模式难以满足安全高效少人化开采 要求等一系列关键技术挑战, 研究旨在突破中厚煤层超长工作面智能化控制关键技术, 实现从局部 自动化向系统智能化的跨越, 为构建千万吨级现代化矿井提供系统解决方案。研究采用了理论分析、 技术研发、系统集成与工程实践验证相结合的方法。首先, 研发了液压支架自适应支护与协同控制 技术, 构建了基于支护状态模板曲线库的超前预测模型, 并利用多传感器融合的姿态感知系统实现 闭环控制, 提出了基于数据驱动的智能供液动态耦合控制方法, 形成了复杂地质条件下自适应跟机 的智能决策支持系统。其次, 构建了多源融合高精度感知与数字孪生技术体系, 集成三维激光测量、 视觉识别与惯导校正, 实现了工作面空间的高精度实时重建; 建立了面向液压系统的多物理场耦合 机理模型, 并基于此开展了虚实结合的故障预警与诊断方法研究, 开发了可自适应匹配应用场景的 液压数字孪生原型系统。再者, 研发了动态自优化智能决策与协同调度技术, 包括基于 AI 视觉的刮 板输送机煤流状态智能监测与负荷平衡控制、采煤机智能规划割煤、工作面及两巷设备联动联控以 及采煤机智能防碰撞技术。最终, 创新性地提出了"井上决策−井下执行"的智能化开采新模式, 通 过构建集地面智能监控中心、大数据分析中心和全景视频拼接技术于一体的远程控制平台, 将复杂 的数据分析与智能决策上移至地面, 井下设备则作为自主执行终端。研究成果在兖矿能源 (鄂尔多斯) 有限公司相关煤矿及陕西小保当矿业有限公司成功应用。工程实践表明, 应用该技术体系后, 单个 工作面推进度提高 15% ～40%, 液压支架跟机率不低于 95%, 单班工作面作业人员由 12 人减少至 2 人以下, 降幅超过 83%, 实现了平均 16～18 刀/ d 的高效开采, 单刀割煤产量提升 31.25% ～66.67%, 创造了采煤机平均速度不低于 15 m /min、单刀开采时间小于 45 min 的行业高效记录。研究表明: 所 研发的中厚煤层超长工作面智能化控制系统, 有效解决了复杂矿压环境下设备群协同控制、高精度 实时感知与智能决策等难题, 构建的"井上决策−井下执行"新模式为行业智能化开采提供了可复制、 可推广的全新范式, 显著提升了煤炭资源采出率、开采效率和本质安全水平。 [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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  Data: 中厚煤层超长工作面智能化控制关键技术研究与应用.
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  Data: Research and application of key technologies for intelligent control of super-long working face in medium-thick coal seam.
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  Data: *<searchLink fieldCode="DE" term="%22Digital+twin%22">Digital twin</searchLink><br />*<searchLink fieldCode="DE" term="%22Multisensor+data+fusion%22">Multisensor data fusion</searchLink><br />*<searchLink fieldCode="DE" term="%22Intelligent+control+systems%22">Intelligent control systems</searchLink><br />*<searchLink fieldCode="DE" term="%22Hydraulic+motors%22">Hydraulic motors</searchLink><br />*<searchLink fieldCode="DE" term="%22Mining+methodology%22">Mining methodology</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22China%22">China</searchLink>
– Name: Abstract
  Label: Abstract (English)
  Group: Ab
  Data: In view of a series of key technical challenges faced by the mining of super-long working face in medium-thick coal seam in China, such as complex mine pressure, instability of equipment group cooperative control, insufficient real-time performance of system perception and decision-making, and the traditional production mode of "underground operation as the main part and ground intervention as the auxiliary part" is difficult to meet the requirements of safe, efficient and less-manual mining, this study aims to break through the key technology of intelligent control of super-long working face in medium-thick coal seam, realize the leap from local automation to system intelligence, and provide a systematic solution for the construction of ten million-ton modern mine. The research adopts the method of combining theoretical analysis, technology research and development, system integration and engineering practice verification. Firstly, the adaptive support and cooperative control technology of hydraulic support is developed, and the advanced prediction method based on the support state template curve library is constructed. The multi-sensor fusion attitude sensing system is used to realize the closed-loop control, and the data-driven intelligent liquid supply dynamic coupling control method is proposed, which forms an intelligent decision support system for adaptive following under complex geological conditions. Secondly, a multi-source fusion high-precision perception and digital twin technology system is constructed, which integrates three-dimensional laser measurement, visual recognition and inertial navigation correction to realize high-precision real-time reconstruction of working face space; a multi-physical field coupling mechanism model for hydraulic system is established. Based on this, a fault early warning and diagnosis method based on virtual and real combination is studied, and a hydraulic digital twin prototype system that can adaptively match application scenarios is developed. Furthermore, the dynamic self-optimization intelligent decision-making and collaborative scheduling technology is developed, including intelligent monitoring and load balance control of coal flow state of scraper conveyor based on AI vision, intelligent planning of coal cutting of shearer, linkage control of working face and two roadway equipment and intelligent anti-collision technology of shearer. Finally, a new intelligent mining mode of "aboveground decision-making-underground execution" is innovatively proposed. By constructing a remote control platform integrating ground intelligent monitoring center, big data analysis center and panoramic video stitching technology, complex data analysis and intelligent decision-making are moved up to the ground, and underground equipment is used as an autonomous execution terminal. The research results have been successfully applied in the related coal mines of Yankuang Energy (Ordos) Company Limited and Shaanxi Xiaobaodang Mining Company Limited. The engineering practice shows that after the application of this technical system, the propulsion degree of a single working face is increased by 15%-40%, the follow-up rate of hydraulic supports is not less than 95%, the number of workers in a single working face is reduced from 12 to less than 2, with a decrease of more than 83%. The efficient mining of an average of 16-18 coal mining cycles / d is realized, and the output of single-cut coal is increased by 31.25%-66.67%, creating an industry efficient record with an average speed of shearer not less than 15 m/min and a single coal mining cycle time less than 45 min. The research shows that the developed intelligent control system of super-long working face in medium-thick coal seam effectively solves the problems of collaborative control of equipment group, high-precision real-time perception and intelligent decision-making in complex mine pressure environment. The new model of "aboveground decision-making-underground execution" provides a new paradigm that can be replicated and popularized for intelligent mining in the industry, which significantly improves the recovery rate, mining efficiency and intrinsic safety level of coal resources. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label: Abstract (Chinese)
  Group: Ab
  Data: 针对我国中厚煤层超长工作面开采面临的矿压显现复杂、设备群协同控制失稳、系统感知与 决策实时性不足, 以及传统"井下操作为主、地面干预为辅"生产模式难以满足安全高效少人化开采 要求等一系列关键技术挑战, 研究旨在突破中厚煤层超长工作面智能化控制关键技术, 实现从局部 自动化向系统智能化的跨越, 为构建千万吨级现代化矿井提供系统解决方案。研究采用了理论分析、 技术研发、系统集成与工程实践验证相结合的方法。首先, 研发了液压支架自适应支护与协同控制 技术, 构建了基于支护状态模板曲线库的超前预测模型, 并利用多传感器融合的姿态感知系统实现 闭环控制, 提出了基于数据驱动的智能供液动态耦合控制方法, 形成了复杂地质条件下自适应跟机 的智能决策支持系统。其次, 构建了多源融合高精度感知与数字孪生技术体系, 集成三维激光测量、 视觉识别与惯导校正, 实现了工作面空间的高精度实时重建; 建立了面向液压系统的多物理场耦合 机理模型, 并基于此开展了虚实结合的故障预警与诊断方法研究, 开发了可自适应匹配应用场景的 液压数字孪生原型系统。再者, 研发了动态自优化智能决策与协同调度技术, 包括基于 AI 视觉的刮 板输送机煤流状态智能监测与负荷平衡控制、采煤机智能规划割煤、工作面及两巷设备联动联控以 及采煤机智能防碰撞技术。最终, 创新性地提出了"井上决策−井下执行"的智能化开采新模式, 通 过构建集地面智能监控中心、大数据分析中心和全景视频拼接技术于一体的远程控制平台, 将复杂 的数据分析与智能决策上移至地面, 井下设备则作为自主执行终端。研究成果在兖矿能源 (鄂尔多斯) 有限公司相关煤矿及陕西小保当矿业有限公司成功应用。工程实践表明, 应用该技术体系后, 单个 工作面推进度提高 15% ～40%, 液压支架跟机率不低于 95%, 单班工作面作业人员由 12 人减少至 2 人以下, 降幅超过 83%, 实现了平均 16～18 刀/ d 的高效开采, 单刀割煤产量提升 31.25% ～66.67%, 创造了采煤机平均速度不低于 15 m /min、单刀开采时间小于 45 min 的行业高效记录。研究表明: 所 研发的中厚煤层超长工作面智能化控制系统, 有效解决了复杂矿压环境下设备群协同控制、高精度 实时感知与智能决策等难题, 构建的"井上决策−井下执行"新模式为行业智能化开采提供了可复制、 可推广的全新范式, 显著提升了煤炭资源采出率、开采效率和本质安全水平。 [ABSTRACT FROM AUTHOR]
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        Value: 10.12438/cst.2025-1901
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        Text: Chinese
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        PageCount: 19
        StartPage: 43
    Subjects:
      – SubjectFull: Digital twin
        Type: general
      – SubjectFull: Multisensor data fusion
        Type: general
      – SubjectFull: Intelligent control systems
        Type: general
      – SubjectFull: Hydraulic motors
        Type: general
      – SubjectFull: Mining methodology
        Type: general
      – SubjectFull: China
        Type: general
    Titles:
      – TitleFull: 中厚煤层超长工作面智能化控制关键技术研究与应用.
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            NameFull: 李明忠
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            – D: 01
              M: 05
              Text: May2026
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              Y: 2026
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            – TitleFull: Coal Science & Technology (0253-2336)
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