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煤炭绿色开发复杂巨系统数智化技术进展

王国法, 张建中, 刘再斌, 庞义辉, 王佟, 桑聪

王国法,张建中,刘再斌,等. 煤炭绿色开发复杂巨系统数智化技术进展[J]. 煤炭科学技术,2024,52(11):1−16. DOI: 10.12438/cst.2024-1190
引用本文: 王国法,张建中,刘再斌,等. 煤炭绿色开发复杂巨系统数智化技术进展[J]. 煤炭科学技术,2024,52(11):1−16. DOI: 10.12438/cst.2024-1190
WANG Guofa,ZHANG Jianzhong,LIU Zaibin,et al. Progress in digital and intelligent technologies for complex giant systems in green coal development[J]. Coal Science and Technology,2024,52(11):1−16. DOI: 10.12438/cst.2024-1190
Citation: WANG Guofa,ZHANG Jianzhong,LIU Zaibin,et al. Progress in digital and intelligent technologies for complex giant systems in green coal development[J]. Coal Science and Technology,2024,52(11):1−16. DOI: 10.12438/cst.2024-1190

煤炭绿色开发复杂巨系统数智化技术进展

基金项目: 中国煤炭科工集团科技专项重点资助项目(2023-TD-ZD002,2024-TD-ZD014-01,2024-TD-ZD014-02)
详细信息
    作者简介:

    王国法: (1960—),男,山东文登人,中国工程院院士。E-mail:wangguofa@tdkesj.com

    通讯作者:

    张建中: (1980—),男,河北保定人,高级工程师。E-mail:18614716@qq.com

  • 中图分类号: TD82; TD67

Progress in digital and intelligent technologies for complex giant systems in green coal development

  • 摘要:

    分析了当前我国煤炭资源绿色开发面临的新形势和新要求,提出了煤炭资源绿色开发复杂巨系统数智化技术体系,以绿色开发模式为目标,以地质透明化为基础,将煤矿全要素数字化,完成煤矿所有信息的精准实时采集、网络化传输、规范化集成、可视化展现、自动化运行和智能化服务的数字化智慧体,通过融合一系列数智化关键技术推动煤炭资源绿色智能平衡开发与管控模式迭代升级;提炼“数智开采”技术,研发了数字煤矿智慧逻辑模型、复杂变形条件下“采场-装备”双动态系统耦合分析模型、开采设备群健康状态评估与剩余寿命预测模型等关键技术,提出了智慧逻辑模型框架下的开采系统智能化控制方法,智能开采复杂场景综采设备群姿态识别方法、全局最优规划策略及协同控制方法、设备健康状态识别与故障诊断方法;诠释“透明地质”概念,提出了透明地质保障技术路径,研发了精细物探与钻探、围岩条件动态监测、多源高精度数据采集、多源异构数据融合解译等地质透明化技术,创新了静态地质建模、动态地质建模、工作面精准地质保障、多源地质数据解译融合、多属性动态高精度建模、地质信息同步映射、矿山信息模型等地质数字化技术,分析了“透明地质”技术在地下资源开发地质构造探明程度、揭示煤岩物理力学性质、“三场”变化、隐蔽致灾因素预测等应用价值;分析了绿色开采技术,包括绿色减沉与保水开采技术和井上下协同治理与生态修复技术;围绕数智开采、透明地质和绿色开采3方面技术进行了案例解析,展望当前形势下,需亟待加速数据驱动下煤炭资源绿色开发与管理变革转型,推动煤炭行业高质量发展进入新阶段。

    Abstract:

    Analyzed the new situation and requirements facing the green development of coal resources in China, proposed a complex and intelligent technology system for the green development of coal resources, with the goal of green development mode and geological transparency as the basis. Digitized all elements of coal mines, and completed the precise real-time collection, networked transmission, standardized integration, visual display, automated operation, and intelligent service of all information in coal mines as a digital intelligent agent. By integrating a series of key digital intelligent technologies, it promotes the iterative upgrading of green, intelligent, balanced development and control mode of coal resources. We have refined the “digital intelligent mining” technology and developed key technologies such as the digital coal mine intelligent logic model, the “mining equipment” dual dynamic system coupling analysis model under complex deformation conditions, the mining equipment group health status evaluation and remaining life prediction model, etc. We have proposed intelligent control methods for mining systems under the intelligent logic model framework, intelligent mining complex scene comprehensive mining equipment group posture recognition methods, global optimal planning strategies and collaborative control methods, equipment health status recognition and fault diagnosis methods; Interpreting the concept of “transparent geology”, proposing a path for transparent geological security technology, developing geological transparency technologies such as fine geophysical exploration and drilling, dynamic monitoring of surrounding rock conditions, multi-source high-precision data collection, multi-source heterogeneous data fusion and interpretation, innovating geological digitalization technologies such as static geological modeling, dynamic geological modeling, precise geological security of working faces, multi-source geological data interpretation and fusion, multi-attribute dynamic high-precision modeling, synchronous mapping of geological information, mining information modeling, etc., analyzing the application value of “transparent geology” technology in underground resource development geological structure exploration degree, revealing the physical and mechanical properties of coal and rock, “three field” changes, hidden disaster factor prediction, etc; Analyzed green mining technologies, including green sedimentation reduction and water conservation mining technologies, as well as well as collaborative management and ecological restoration technologies above and below the well; Case analysis was conducted around three technologies: intelligent mining, transparent geology, and green mining. It is expected that under the current situation, there is an urgent need to accelerate the transformation of data-driven green development and management of coal resources, and promote the high-quality development of the coal industry into a new stage.

  • 图  1   煤炭绿色开发复杂巨系统数智化技术体系架构

    Figure  1.   Theoretical framework of digitalization for green coal development

    图  2   知识分级抽取信息动态匹配算法

    Figure  2.   Knowledge grading extraction and dynamic matching algorithm for information

    图  3   超大采高工作面围岩应力场建模

    Figure  3.   Modeling of stress field in surrounding rock of ultra high mining face

    图  4   控缸定位精度控制分析

    Figure  4.   Analysis diagram of cylinder positioning accuracy control

    图  5   基于三维虚拟仿真的综采工作面自主开采系统

    Figure  5.   Autonomous mining system for fully mechanized mining face based on 3D virtual simulation

    图  6   长掘长探过程示意

    Figure  6.   Diagram of long excavation and exploration process

    图  7   随掘地震探测示意

    Figure  7.   Schematic diagram of earthquake detection during excavation

    图  8   微震-电法联合监测示意

    Figure  8.   Schematic diagram of microseismic electrical joint monitoring

    图  9   地质模型与监测信息融合示意

    Figure  9.   Schematic diagram of geological model and monitoring information fusion

    图  10   矿山信息模型技术体系

    Figure  10.   Mining information modeling technology system

    图  11   绿色减沉技术示意

    Figure  11.   Schematic diagram of green sedimentation reduction technology

    图  12   矿区生态修复前后对比

    Figure  12.   Comparison before and after ecological restoration in mining areas

  • [1] 刘峰,郭林峰,张建明,等. 煤炭工业数字智能绿色三化协同模式与新质生产力建设路径[J]. 煤炭学报,2024,49(1):1−15.

    LIU Feng,GUO Linfeng,ZHANG Jianming,et al. Synergistic mode of digitalization-intelligentization-greeniation of the coal industry and it’s path of building new coal productivity[J]. Journal of China Coal Society,2024,49(1):1−15.

    [2] 刘峰,郭林峰,赵路正. 双碳背景下煤炭安全区间与绿色低碳技术路径[J]. 煤炭学报,2022,47(1):1−15.

    LIU Feng,GUO Linfeng,ZHAO Luzheng. Research on coal safety range and green low-carbon technology path under the dual-carbon background[J]. Journal of China Coal Society,2022,47(1):1−15.

    [3] 王国法,杜毅博. 智慧煤矿与智能化开采技术的发展方向[J]. 煤炭科学技术,2019,47(1):1−10.

    WANG Guofa,DU Yibo. Development direction of intelligent coal mine and intelligent mining technology[J]. Coal Science and Technology,2019,47(1):1−10.

    [4] 王国法,杜毅博,庞义辉. 6S智能化煤矿的技术特征和要求[J]. 智能矿山,2022,3(1):2−13.
    [5] 王国法. 煤矿智能化最新技术进展与问题探讨[J]. 煤炭科学技术,2022,50(1):1−27. doi: 10.3969/j.issn.0253-2336.2022.1.mtkxjs202201001

    WANG Guofa. New technological progress of coal mine intelligence and its problems[J]. Coal Science and Technology,2022,50(1):1−27. doi: 10.3969/j.issn.0253-2336.2022.1.mtkxjs202201001

    [6] 王国法,庞义辉,许永祥,等. 厚煤层智能绿色高效开采技术与装备研发进展[J]. 采矿与安全工程学报,2023,40(5):882−893.

    WANG Guofa,PANG Yihui,XU Yongxiang,et al. Development of intelligent green and efficient mining technology and equipment for thick coal seam[J]. Journal of Mining & Safety Engineering,2023,40(5):882−893.

    [7] 王国法,张良,李首滨,等. 煤矿无人化智能开采系统理论与技术研发进展[J]. 煤炭学报,2023,48(1):34−53.

    WANG Guofa,ZHANG Liang,LI Shoubin,et al. Progresses in theory and technological development of unmanned smart mining system[J]. Journal of China Coal Society,2023,48(1):34−53.

    [8] 王国法,张建中,薛国华,等. 煤矿回采工作面智能地质保障技术进展与思考[J]. 煤田地质与勘探,2023,51(2):12−26. doi: 10.12363/issn.1001-1986.23.02.0062

    WANG Guofa,ZHANG Jianzhong,XUE Guohua,et al. Progress and reflection of intelligent geological guarantee technology in coal mining face[J]. Coal Geology & Exploration,2023,51(2):12−26. doi: 10.12363/issn.1001-1986.23.02.0062

    [9] 范京道,金智新,王国法,等. 煤矿智能化重构人与煤空间关系研究[J]. 中国工程科学,2023,25(2):243−253.

    FAN Jingdao,JIN Zhixin,WANG Guofa,et al. Reconstructing human-coal space relationship through coalmine intellectualization[J]. Strategic Study of CAE,2023,25(2):243−253.

    [10] 范京道,封华,宋朝阳,等. 可可盖煤矿全矿井机械破岩智能化建井关键技术与装备[J]. 煤炭学报,2022,47(1):499−514.

    FAN Jingdao,FENG Hua,SONG Zhaoyang,et al. Key technology and equipment of intelligent mine construction of whole mine mechanical rock breaking in Kekegai Coal Mine[J]. Journal of China Coal Society,2022,47(1):499−514.

    [11] 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.

    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.

    [12] 彭苏萍. 我国煤矿安全高效开采地质保障系统研究现状及展望[J]. 煤炭学报,2020,45(7):2331−2345.

    PENG Suping. Current status and prospects of research on geological assurance system for coal mine safe and high efficient mining[J]. Journal of China Coal Society,2020,45(7):2331−2345.

    [13] 彭苏萍,赵惊涛,盛同杰,等. 煤田绕射地震勘探现状与进展[J]. 煤田地质与勘探,2023,51(1):1−20. doi: 10.12363/issn.1001-1986.22.12.0922

    PENG Suping,ZHAO Jingtao,SHENG Tongjie,et al. Status and advance of seismic diffraction exploration in coalfield[J]. Coal Geology & Exploration,2023,51(1):1−20. doi: 10.12363/issn.1001-1986.22.12.0922

    [14] 王双明,孙强,谷超,等. 煤炭开发推动地学研究发展[J]. 中国煤炭,2024,50(1):2−8.

    WANG Shuangming,SUN Qiang,GU Chao,et al. The development of geoscientific research promoted by coal exploitation[J]. China Coal,2024,50(1):2−8.

    [15] 袁亮,张平松. 煤矿透明地质模型动态重构的关键技术与路径思考[J]. 煤炭学报,2023,48(1):1−14.

    YUAN Liang,ZHANG Pingsong. Key technology and path thinking of dynamic reconstruction of mine transparent geological model[J]. Journal of China Coal Society,2023,48(1):1−14.

    [16] 程建远,王保利,范涛,等. 煤矿地质透明化典型应用场景及关键技术[J]. 煤炭科学技术,2022,50(7):1−12.

    CHENG Jianyuan,WANG Baoli,FAN Tao,et al. Typical application scenes and key technologies of coal mine geological transparency[J]. Coal Science and Technology,2022,50(7):1−12.

    [17] 钱鸣高,许家林,缪协兴. 煤矿绿色开采技术[J]. 中国矿业大学学报,2003,32(4):343−348. doi: 10.3321/j.issn:1000-1964.2003.04.001

    QIAN Minggao,XU Jialin,MIAO Xiexing. Green technique in coal mining[J]. Journal of China University of Mining & Technology,2003,32(4):343−348. doi: 10.3321/j.issn:1000-1964.2003.04.001

    [18] 钱鸣高,缪协兴,许家林. 资源与环境协调(绿色)开采[J]. 煤炭学报,2007,32(1):1−7. doi: 10.3321/j.issn:0253-9993.2007.01.001

    QIAN Minggao,MIAO Xiexing,XU Jialin. Green mining of coal resources harmonizing with environment[J]. Journal of China Coal Society,2007,32(1):1−7. doi: 10.3321/j.issn:0253-9993.2007.01.001

    [19] 钱鸣高,许家林,王家臣. 再论煤炭的科学开采[J]. 煤炭学报,2018,43(1):1−13.

    QIAN Minggao,XU Jialin,WANG Jiachen. Further on the sustainable mining of coal[J]. Journal of China Coal Society,2018,43(1):1−13.

    [20] 缪协兴,钱鸣高. 中国煤炭资源绿色开采研究现状与展望[J]. 采矿与安全工程学报,2009,26(1):1−14. doi: 10.3969/j.issn.1673-3363.2009.01.001

    MIAO Xiexing,QIAN Minggao. Research on green mining of coal resources in China:Current status and future prospects[J]. Journal of Mining & Safety Engineering,2009,26(1):1−14. doi: 10.3969/j.issn.1673-3363.2009.01.001

    [21] 袁亮,张农,阚甲广,等. 我国绿色煤炭资源量概念、模型及预测[J]. 中国矿业大学学报,2018,47(1):1−8.

    YUAN Liang,ZHANG Nong,KAN Jiaguang,et al. The concept,model and reserve forecast of green coal resources in China[J]. Journal of China University of Mining & Technology,2018,47(1):1−8.

    [22] 袁亮. 煤炭精准开采科学构想[J]. 煤炭学报,2017,42(1):1−7.

    YUAN Liang. Scientific conception of precision coal mining[J]. Journal of China Coal Society,2017,42(1):1−7.

    [23] 袁亮. 我国煤炭主体能源安全高质量发展的理论技术思考[J]. 中国科学院院刊,2023,38(1):11−22.

    YUAN Liang. Theory and technology considerations on high-quality development of coal main energy security in China[J]. Bulletin of Chinese Academy of Sciences,2023,38(1):11−22.

    [24] 顾大钊,曹志国,李井峰,等. 煤矿地下水库技术原创试验平台体系研制及应用[J]. 煤炭学报,2024,49(1):100−113.

    GU Dazhao,CAO Zhiguo,LI Jingfeng,et al. Original experimental platform system and application of underground coal mine reservoirs[J]. Journal of China Coal Society,2024,49(1):100−113.

    [25] 顾大钊,李全生. 基于井下生态保护的煤矿职业健康防护理论与技术体系[J]. 煤炭学报,2021,46(3):950−958.

    GU Dazhao,LI Quansheng. Theoretical framework and key technologies of underground ecological protection based on coal mine occupational health prevention[J]. Journal of China Coal Society,2021,46(3):950−958.

    [26] 张博,彭苏萍,王佟,等. 构建煤炭资源强国的战略路径与对策研究[J]. 中国工程科学,2019,21(1):88−96. doi: 10.15302/J-SSCAE-2019.01.013

    ZHANG Bo,PENG Suping,WANG Tong,et al. Strategic paths and countermeasures for constructing a “great power of coal resources”[J]. Strategic Study of CAE,2019,21(1):88−96. doi: 10.15302/J-SSCAE-2019.01.013

    [27] 彭苏萍,毕银丽. 西部干旱半干旱煤矿区生态环境损伤特征及修复机制[J]. 煤炭学报,2024,49(1):57−64.

    PENG Suping,BI Yinli. Properties of ecological environment damage and their mechanism of restoration in arid and semi-arid coal mining area of Western China[J]. Journal of China Coal Society,2024,49(1):57−64.

    [28] 王佟,张博,王庆伟,等. 中国绿色煤炭资源概念和内涵及评价[J]. 煤田地质与勘探,2017,45(1):1−8,13. doi: 10.3969/j.issn.1001-1986.2017.01.001

    WANG Tong,ZHANG Bo,WANG Qingwei,et al. Green coal resources in China:Concept,characteristics and assessment[J]. Coal Geology & Exploration,2017,45(1):1−8,13. doi: 10.3969/j.issn.1001-1986.2017.01.001

    [29] 王佟,赵欣,林中月,等. 新时代煤炭地质勘查工作的发展方向:“三个地球” 建设[J]. 中国煤炭地质,2019,31(11):7−10,25. doi: 10.3969/j.issn.1674-1803.2019.11.02

    WANG Tong,ZHAO Xin,LIN Zhongyue,et al. New era coal geological exploration development orientation—the “triple earth” construction[J]. Coal Geology of China,2019,31(11):7−10,25. doi: 10.3969/j.issn.1674-1803.2019.11.02

    [30] 江涛,王佟,宋梅. 煤炭行业绿色矿山建设标准及其评价指标初步探讨[J]. 煤田地质与勘探,2018,46(1):1−7. doi: 10.3969/j.issn.1001-1986.2018.01.001

    JIANG Tao,WANG Tong,SONG Mei. Prelimilary discussion on construction standards and evaluation index of green coal mine[J]. Coal Geology & Exploration,2018,46(1):1−7. doi: 10.3969/j.issn.1001-1986.2018.01.001

    [31] 郑德志,任世华,秦容军,等. 我国煤炭行业发展方式变革方向与路径研究[J]. 中国煤炭,2023,49(5):11−17. doi: 10.3969/j.issn.1006-530X.2023.05.002

    ZHENG Dezhi,REN Shihua,QIN Rongjun,et al. Research on direction and path of the transformation of the development mode of China’s coal industry[J]. China Coal,2023,49(5):11−17. doi: 10.3969/j.issn.1006-530X.2023.05.002

    [32] 曹哲哲. 黄陵二号煤矿多维度地质模型大数据融合精准开采[J]. 陕西煤炭,2024,43(2):126−129,141.

    CAO Zhezhe. Integration of multi-dimensional geological model and big data for precision mining of Huangling No. 2 Coal Mine[J]. Shaanxi Coal,2024,43(2):126−129,141.

    [33] 张平松,焦文杰,李圣林. 采煤工作面地质条件透明化技术现状与分析[J]. 智能矿山,2023,4(6):2−13.
    [34] 毛善君,鲁守明,李存禄,等. 基于精确大地坐标的煤矿透明化智能综采工作面自适应割煤关键技术研究及系统应用[J]. 煤炭学报,2022,47(1):515−526.

    MAO Shanjun,LU Shouming,LI Cunlu,et al. Key technologies and system of adaptive coal cutting in transparent intelligent fully mechanized coal mining face based on precisegeodetic coordinates[J]. Journal of China Coal Society,2022,47(1):515−526.

    [35] 卢新明,阚淑婷. 煤炭精准开采地质保障与透明地质云计算技术[J]. 煤炭学报,2019,44(8):2296−2305.

    LU Xinming,KAN Shuting. Geological guarantee and transparent geological cloud computing technology of precision coal mining[J]. Journal of China Coal Society,2019,44(8):2296−2305.

    [36] 王佟,刘峰,赵欣,等. “双碳” 背景下我国煤炭资源保障能力与勘查方向的思考[J]. 煤炭科学技术,2023,51(12):1−8. doi: 10.12438/cst.2023-0095

    WANG Tong,LIU Feng,ZHAO Xin,et al. Reflection on China’s coal resource guarantee capacity and exploration work under the background of “double carbon”[J]. Coal Science and Technology,2023,51(12):1−8. doi: 10.12438/cst.2023-0095

    [37] 刘结高,程建远,疏义国,等. 唐家会煤矿透明地质保障系统构建及示范[J]. 煤田地质与勘探,2022,50(1):1−9. doi: 10.12363/issn.1001-1986.21.11.0623

    LIU Jiegao,CHENG Jianyuan,SHU Yiguo,et al. Construction and demonstration of the transparent geological guarantee system in Tangjiahui Coal Mine[J]. Coal Geology & Exploration,2022,50(1):1−9. doi: 10.12363/issn.1001-1986.21.11.0623

    [38] 王少龙,刘再斌,安林,等. 基于透明地质的矿井智能水害仿真系统[J]. 智能矿山,2023,4(4):75−80.
    [39] 李全生. 井工煤矿减损开采理论与技术体系[J]. 煤炭学报,2024,49(2):988−1002.

    LI Quansheng. Reduction theory and technical system of underground coal mining[J]. Journal of China Coal Society,2024,49(2):988−1002.

    [40] 李全生. 煤炭生态型露天开采理论与技术体系及其应用[J]. 煤炭学报,2024,49(5):2426−2444.

    LI Quansheng. Theory and technical system of coal ecological open-pit mining and its application[J]. Journal of China Coal Society,2024,49(5):2426−2444.

    [41] 谭震. 柠条塔煤矿智能化先进技术创新与实践[J]. 智能矿山,2024,5(2):28−35.
    [42] 谷保泽,代振华,李明星,等. 透明地质保障技术构建方法:以乌海矿区为例[J]. 煤田地质与勘探,2022,50(1):136−143. doi: 10.12363/issn.1001-1986.21.10.0601

    GU Baoze,DAI Zhenhua,LI Mingxing,et al. Construction method on transparent geological guarantee technologies:A case study of Wuhai mining area[J]. Coal Geology & Exploration,2022,50(1):136−143. doi: 10.12363/issn.1001-1986.21.10.0601

    [43] 刘小雄,王海军. 薄煤层智能开采工作面煤层透明化地质勘查技术[J]. 煤炭科学技术,2022,50(7):67−74.

    LIU Xiaoxiong,WANG Haijun. Transparent geological exploration technology of coal seam on the working surface of intelligent mining of thin coal seam[J]. Coal Science and Technology,2022,50(7):67−74.

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出版历程
  • 收稿日期:  2024-05-20
  • 修回日期:  2024-10-13
  • 网络出版日期:  2024-11-06
  • 刊出日期:  2024-11-24

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