Advance Search
LIAN Huiqing,YAN Tao,YIN Shangxian,et al. Research on early warning of roof water inrush in working faces based on a transparent hydrogeological model[J]. Coal Science and Technology,2025,53(1):259−271. DOI: 10.12438/cst.2024-0713
Citation: LIAN Huiqing,YAN Tao,YIN Shangxian,et al. Research on early warning of roof water inrush in working faces based on a transparent hydrogeological model[J]. Coal Science and Technology,2025,53(1):259−271. DOI: 10.12438/cst.2024-0713

Research on early warning of roof water inrush in working faces based on a transparent hydrogeological model

More Information
  • Received Date: May 30, 2024
  • Available Online: January 14, 2025
  • Water inrush in western China’s coal seam roofs is increasingly problematic due to complex geological conditions, with traditional warning methods proving ineffective. To address key challenges like indicator selection, warning methods, and standardization, research has focused on early warning theory, critical technologies, and intelligent platform development. First, a transparent hydrogeological model is introduced, building on the traditional geological model and incorporating dynamic updates. Second, based on the three-stage mechanism of water inrush development, indicator selection follows the principles of constraint, independence, and continuity. Five key factors are identified: surface water, aquifer structure and properties, aquiclude structure and properties, rock movement due to mining, and dynamic changes in hydrological elements. From these, 14 quantifiable indicators form the early warning system. Third, an intelligent early warning method is proposed using four indicators, establishing four warning levels, standards, and response measures based on accident cases, hydrological data, and standards. Fourth, an intelligent platform, integrating three layers and six core functions, is developed with a hybrid mechanism of triggers and polling for comprehensive evaluation and early warning. Finally, the platform was applied for a year in a western coal mine, issuing 15 warnings, including 10 for equipment anomalies and 5 for water inrush, all addressed with timely measures. The results validate the platform’s effectiveness. Future improvements will optimize the model and data analysis to enhance warning precision and speed.

  • [1]
    武强,涂坤,曾一凡,等. 打造我国主体能源(煤炭)升级版面临的主要问题与对策探讨[J]. 煤炭学报,2019,44(6):1625−1636.

    WU Qiang,TU Kun,ZENG Yifan,et al. Discussion on the main problems and countermeasures for building an upgrade version of main energy(coal) industry in China[J]. Journal of China Coal Society,2019,44(6):1625−1636.
    [2]
    尹尚先,王玉国,李文生. 矿井水灾害:原因·对策·出路[J]. 煤田地质与勘探,2023,51(1):214−221.

    YIN Shangxian,WANG Yuguo,LI Wensheng. Cause,countermeasures and solutions of water hazards in coal mines in China[J]. Coal Geology & Exploration,2023,51(1):214−221.
    [3]
    王家臣,许家林,杨胜利,等. 煤矿采场岩层运动与控制研究进展:纪念钱鸣高院士“砌体梁” 理论40年[J]. 煤炭科学技术,2023,51(1):80−94.

    WANG Jiachen,XU Jialin,YANG Shengli,et al. Development of strata movement and its control in underground mining:In memory of 40 years of Voussoir Beam Theory proposed by Academician Minggao Qian[J]. Coal Science and Technology,2023,51(1):80−94.
    [4]
    白矛,刘天泉. 孔隙裂隙弹性理论及应用导论[M]. 北京:石油工业出版社,1999.
    [5]
    钱鸣高,许家林. 煤炭开采与岩层运动[J]. 煤炭学报,2019,44(4):973−984.

    QIAN Minggao,XU Jialin. Behaviors of strata movement in coal mining[J]. Journal of China Coal Society,2019,44(4):973−984.
    [6]
    武强,许珂,张维. 再论煤层顶板涌(突)水危险性预测评价的“三图-双预测法”[J]. 煤炭学报,2016,41(6):1341−1347.

    WU Qiang,XU Ke,ZHANG Wei. Further research on “three maps-two predictions” method for prediction on coal seam roof water bursting risk[J]. Journal of China Coal Society,2016,41(6):1341−1347.
    [7]
    武强,徐华,赵颖旺,等. 基于云平台的矿井水害智慧应急救援系统与应用[J]. 煤炭学报,2018,43(10):2661−2667.

    WU Qiang,XU Hua,ZHAO Yingwang,et al. Cloud-based smart emergency rescue system and its application in mine water disaster[J]. Journal of China Coal Society,2018,43(10):2661−2667.
    [8]
    靳德武,乔伟,李鹏,等. 煤矿防治水智能化技术与装备研究现状及展望[J]. 煤炭科学技术,2019,47(3):10−17.

    JIN Dewu,QIAO Wei,LI Peng,et al. Research status and prospects on intelligent technology and equipment for mine water hazard prevention and control[J]. Coal Science and Technology,2019,47(3):10−17.
    [9]
    靳德武,赵春虎,段建华,等. 煤层底板水害三维监测与智能预警系统研究[J]. 煤炭学报,2020,45(6):2256−2264.

    JIN Dewu,ZHAO Chunhu,DUAN Jianhua,et al. Research on 3D monitoring and intelligent early warning system for water hazard of coal seam floor[J]. Journal of China Coal Society,2020,45(6):2256−2264.
    [10]
    靳德武,李鹏. 煤层底板水害防治智能决策支持系统框架构建[J]. 煤田地质与勘探,2021,49(1):161−169.

    JIN Dewu,LI Peng. Framework on intelligent decision support system for coal seam floor water hazard prevention and control[J]. Coal Geology & Exploration,2021,49(1):161−169.
    [11]
    连会青,徐斌,田振焘,等. 矿井水情监测与水害风险预警平台设计与实现[J]. 煤田地质与勘探,2021,49(1):198−207.

    LIAN Huiqing,XU Bin,TIAN Zhentao,et al. Design and implementation of mine water hazard monitoring and early warning platform[J]. Coal Geology & Exploration,2021,49(1):198−207.
    [12]
    王皓,董书宁,姬亚东,等. 煤矿水害智能化防控平台架构及关键技术[J]. 煤炭学报,2022,47(2):883−892.

    WANG Hao,DONG Shuning,JI Yadong,et al. Key technology and platform development of intelligent prevention and control on coal mine water disaster[J]. Journal of China Coal Society,2022,47(2):883−892.
    [13]
    晏涛,连会青,夏向学,等. 基于多源数据融合的矿井水害“一张图” 预警平台构建与应用[J]. 金属矿山,2022(3):158−164.

    YAN Tao,LIAN Huiqing,XIA Xiangxue,et al. Construction and application of “one map” early warning platform for mine water disaster based on multi source data fusion[J]. Metal Mine,2022(3):158−164.
    [14]
    SHAO J L,ZHANG Q,ZHANG W Q,et al. Effects of the borehole drainage for roof aquifer on local stress in underground mining[J]. Geomechanics and Engineering,2021,24:479.
    [15]
    LI H J,CHEN Q T,SHU Z Y,et al. On prevention and mechanism of bed separation water inrush for thick coal seams:A case study in China[J]. Environmental Earth Sciences,2018,77(22):759. doi: 10.1007/s12665-018-7952-y
    [16]
    ZHAI W,LI W,HUANG Y L,et al. A case study of the water abundance evaluation of roof aquifer based on the development height of water-conducting fracture zone[J]. Energies,2020,13(16):4095. doi: 10.3390/en13164095
    [17]
    HAO J,SHI Y K,LIN J H,et al. The effects of backfill mining on strata movement rule and water inrush:A case study[J]. Processes,2019,7(2):66. doi: 10.3390/pr7020066
    [18]
    CHEN L W,OU Q H,PENG Z H,et al. Numerical simulation of abnormal roof water-inrush mechanism in mining under unconsolidated aquifer based on overburden dynamic damage[J]. Engineering Failure Analysis,2022,133:106005. doi: 10.1016/j.engfailanal.2021.106005
    [19]
    WANG X H,ZHU S Y,YU H T,et al. Comprehensive analysis control effect of faults on the height of fractured water-conducting zone in longwall mining[J]. Natural Hazards,2021,108(2):2143−2165. doi: 10.1007/s11069-021-04772-z
    [20]
    WANG Z Y,ZHANG Q,ZHANG W Q. A novel collaborative study of abnormal roof water inrush in coal seam mining based on strata separation and wing crack initiation[J]. Engineering Failure Analysis,2022,142:106762. doi: 10.1016/j.engfailanal.2022.106762
    [21]
    郝爱兵,赵伟,郑跃军,等. 水文地质调查技术方法发展与应用综述[J]. 测绘科学,2022,47(8):25−35.

    HAO Aibing,ZHAO Wei,ZHENG Yuejun,et al. A review on development and application of hydrogeological survey techniques and methods[J]. Science of Surveying and Mapping,2022,47(8):25−35.
    [22]
    李利平,贾超,孙子正,等. 深部重大工程灾害监测与防控技术研究现状及发展趋势[J]. 中南大学学报(自然科学版),2021,52(8):2539−2556. doi: 10.11817/j.issn.1672-7207.2021.08.004

    LI Liping,JIA Chao,SUN Zizheng,et al. Research status and development trend of major engineering disaster prevention and control technology in deep underground[J]. Journal of Central South University (Science and Technology),2021,52(8):2539−2556. doi: 10.11817/j.issn.1672-7207.2021.08.004
    [23]
    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.
    [24]
    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
    [25]
    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.
    [26]
    董书宁,姬亚东,王皓,等. 鄂尔多斯盆地侏罗纪煤田典型顶板水害防控技术与应用[J]. 煤炭学报,2020,45(7):2367−2375.

    DONG Shuning,JI Yadong,WANG Hao,et al. Prevention and control technology and application of roof water disaster in Jurassic coal field of Ordos Basin[J]. Journal of China Coal Society,2020,45(7):2367−2375.
    [27]
    许延春,马子民,李小二,等. 基岩风化带性质对顶板突水溃砂的影响研究:以赵固一矿为例[J]. 煤炭科学技术,2023,51(7):64−71.

    XU Yanchun,MA Zimin,LI Xiaoer,et al. Research on the influence of the nature of the weathered bedrock zone on the roof water bursting and sand bursting:Taking Zhaogu No. 1 Mine as an example[J]. Coal Science and Technology,2023,51(7):64−71.
    [28]
    高耀全,高银贵,陆自清,等. 基于透明地质的唐家会煤矿奥灰水防治技术[J]. 煤田地质与勘探,2022,50(1):101−108.

    GAO Yaoquan,GAO Yingui,LU Ziqing,et al. Prevention and control technology of Ordovician water in Tangjiahui Coal Mine based on transparent geology[J]. Coal Geology & Exploration,2022,50(1):101−108.
    [29]
    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.

    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.
    [30]
    侯恩科,严迎新,文强,等. 巷道掘进顶板突水危险性预测研究[J]. 煤炭科学技术,2022,50(10):110−120.

    HOU Enke,YAN Yingxin,WEN Qiang,et al. Study on prediction of water inrush hazard in roof of roadway driving[J]. Coal Science and Technology,2022,50(10):110−120.
    [31]
    连会青,李启兴,王瑞,等. 基于深度学习的LSTM-GRU复合模型矿井涌水量预测方法研究[J]. 煤矿安全,2024,55(9):166−172.

    LIAN Huiqing,LI Qixing,WANG Rui,et al. Research on mine water inflow prediction method of LSTM-GRU composite model based on deep learning[J]. Safety in Coal Mines,2024,55(9):166−172.
    [32]
    山东省应急管理厅. 山东省人民政府安全生产委员会办公室关于切实做好极端恶劣天气下安全防范工作的紧急通知[R/OL]. [2024−02−17]. http://yjt.shandong.gov.cn/zfgw/202006/t20200626_3146674.html.

Catalog

    Article views (85) PDF downloads (35) Cited by()
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return