煤矿工作面底板突水灾害预警重点监测区域评价技术
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摘要
准确圈定煤矿工作面底板突水预警重点监测区域,实现监测位置和潜在突水点位置在空间上的匹配,是突水灾害预警急需解决的问题之一。为研究煤矿工作面底板突水灾害预警重点监测区域评价技术,采用水文地质分析、GIS空间分析及ANN预测等技术手段,建立了底板突水灾害预警重点监测区域评价指标体系,提出了将不连续指标转化为连续指标的方法,建立了评价模型,研发了重点监测区域评价GIS系统,实现了煤矿底板突水灾害预警重点监测区域GIS与ANN耦合评价技术,最后以赵庄煤矿5303回采工作面底板突水监测预警为例,利用研发的系统圈定了该工作面重点监测区域。研究表明,确定预警重点监测区域的影响因素主要有含水层水压、含水层富水性、含水层防(隔)水煤岩柱厚度、老空区危险性指数、断层危险性指数、陷落柱危险性指数和封闭不良钻孔危险性指数,利用分段函数可以有效将不连续指标转化为连续指标,研发的评价系统可以实现煤矿突水灾害预警监测位置自动评价,评价结果与现场揭露及水害预警系统监测结果一致。
Accurately delineating the key monitoring areas for water inrush warning of the floor of working face in coal mine and realizing the spatial matching of the monitoring position of the early warning system and the location of potential water inrush points are one of the urgent problems to be solved in the warning of water inrush from the floor of working face in coal mine. In order to study the evaluation technology for key monitoring area of water inrush warning of the floor of working face in coal mine, hydrogeological analysis, GIS spatial analysis and ANN prediction were used to establish a evaluation index system for key monitoring area of early warning of water inrush disaster, the method to convert discontinuous indicators into continuous indicators was proposed, an evaluation model was established, a GIS system for key monitoring area evaluation was developed, the coupling evaluation technology of GIS and ANN in the key monitoring area of early warning of water inrush disaster from coal mine floor was realized, and finally, taking Zhaozhuang coal mine as an example, the key monitoring area of working face 5303 was delineated by the system. The research shows that the influencing factors of the key monitoring areas are mainly aquifer water pressure, aquifer water abundance, thickness of aquifer water-proof and isolating coal pillar of aquifer, goaf risk index, fault risk index, collapse column risk index, and poorly sealed borehole risk index. The segmentation function can effectively convert the discontinuous indicators into continuous indicators. The evaluation system developed can realize the automatic evaluation of the key monitoring areas of coal mine water inrush disaster warning and monitoring, and the evaluation results are consistent with the scene revealed and monitoring results of the water hazard warning system.
Accurately delineating the key monitoring areas for water inrush warning of the floor of working face in coal mine and realizing the spatial matching of the monitoring position of the early warning system and the location of potential water inrush points are one of the urgent problems to be solved in the warning of water inrush from the floor of working face in coal mine. In order to study the evaluation technology for key monitoring area of water inrush warning of the floor of working face in coal mine, hydrogeological analysis, GIS spatial analysis and ANN prediction were used to establish a evaluation index system for key monitoring area of early warning of water inrush disaster, the method to convert discontinuous indicators into continuous indicators was proposed, an evaluation model was established, a GIS system for key monitoring area evaluation was developed, the coupling evaluation technology of GIS and ANN in the key monitoring area of early warning of water inrush disaster from coal mine floor was realized, and finally, taking Zhaozhuang coal mine as an example, the key monitoring area of working face 5303 was delineated by the system. The research shows that the influencing factors of the key monitoring areas are mainly aquifer water pressure, aquifer water abundance, thickness of aquifer water-proof and isolating coal pillar of aquifer, goaf risk index, fault risk index, collapse column risk index, and poorly sealed borehole risk index. The segmentation function can effectively convert the discontinuous indicators into continuous indicators. The evaluation system developed can realize the automatic evaluation of the key monitoring areas of coal mine water inrush disaster warning and monitoring, and the evaluation results are consistent with the scene revealed and monitoring results of the water hazard warning system.
引文
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[8]王经明，董书宁，刘其声.煤矿突水灾害的预警原理及其应用[C]//中国煤炭学会矿井地质专业委员会、中国煤炭工业劳动保护科学技术学会水害防治专业委员会2005年学术交流会论文集，西安：《煤田地质与勘探》编辑部，2005:5–8.
[9]尹尚先.矿井突(涌)水预测及预警研究[J].华北科技学院学报，2009,6(4):1–6.YIN Shangxian. The study of forecasting and warning about water inrush from the coal mine[J]. Journal of North China Institute of Science and Technology,2009,6(4):1–6.
[10]刘栋，周孟然，闫鹏程，等.基于LIF技术的煤矿突水预警研究[J].煤炭技术，2016,35(7):178–180.LIU Dong,ZHOU Mengran,YAN Pengcheng,et al. Research on coal mine water inrush warning based on LIF technology[J].Coal Technology,2016,35(7):178–180.
[11]张亮，陶士西，李计良.基于Labview的矿井工作面突水预警系统构建研究[J].矿业安全与环保，2013,40(3):40–42.ZHANG Liang,TAO Shixi,LI Jiliang. Study on construction of early warning system of water inrush in working face based on Labview[J]. Mining Safety&Environmental Protection,2013,40(3):40–42.
[12]段李宏.煤矿水害预警系统设计[J].工矿自动化，2013,39(9):116–118.DUAN Lihong. Design of pre-warning system of coal mine water disaster[J]. Industry and Mine Automation,2013,39(9):116–118.
[13]王兰健，韩仁桥.水情监测预警系统在海下采煤中的应用[J].煤田地质与勘探，2006,34(6):54–56.WANG Lanjian,HAN Renqiao. Application of flooding forecasting system to coal mining under sea[J]. Coal Geology&Exploration,2006,34(6):54–56.
[14]国家煤矿安全监察局.煤矿防治水细则[M].北京：煤炭工业出版社，2018.
[15]刘德民，连会青，李飞.封闭不良钻孔侧壁突水机理研究[J].中国安全生产科学技术，2014,10(5):74–77.LIU Demin,LIAN Huiqing,LI Fei. Research on mechanism of water-inrush at side face of poor sealing borehole[J]. Journal of Safety Science and Technology,2014,10(5):74–77.
[2]武强，李博.煤层底板突水变权评价中变权区间及调权参数确定方法[J].煤炭学报，2016,41(9):2143–2149.WU Qiang,LI Bo. Determination of variable weight interval and adjust weight parameters in the variable weight assessment model of water inrush from coal floor[J]. Journal of China Coal Society,2016,41(9):2143–2149.
[3]施龙青，谭希鹏，王娟，等.基于PCA_Fuzzy_PSO_SVC的底板突水危险性评价[J].煤炭学报，2015, 40(1):167–171.SHI Longqing,TAN Xipeng,WANG Juan,et al. Risk assessment of water inrush based on PCA_Fuzzy_PSO_SVC[J].Journal of China Coal Society,2015,40(1):167–171.
[4]张晓亮.熵权耦合层次分析赋权在煤层底板突水评价中的应用[J].煤田地质与勘探，2017,45(3):91–95.ZHANG Xiaoliang. Application of entropy weight method and analytic hierarchy process in evaluation of water inrush from coal seam floor[J]. Coal Geology&Exploration,2017,45(3):91–95.
[5]代革联，薛小渊，许珂，等.基于脆弱性指数法的韩城矿区11号煤层底板突水危险性评价[J].煤田地质与勘探，2017,45(4):112–117.DAI Gelian,XUE Xiaoyuan,XU Ke,et al. Risk assessment of water inrush of No.11 coal seam floor in Hancheng mining area on the basis of vulnerability index method[J]. Coal Geology&Exploration,2017,45(4):112–117.
[6]郎玉泉，陈同俊，马丽，等.煤层顶板砂岩富水性AVO预测技术[J].煤田地质与勘探，2018,46(3):127–132.LANG Yuquan,CHEN Tongjun,MA Li,et al. Water content prediction of roof sandstone using AVO technology[J]. Coal Geology&Exploration,2018,46(3):127–132.
[7]张雁，刘英锋，吕明达.煤矿突水监测预警系统中的关键技术[J].煤田地质与勘探，2012,40(4):60–62.ZHANG Yan,LIU Yingfeng,LYU Mingda. Key technologies on mine water inrush monitoring and warning system[J]. Coal Geology&Exploration,2012,40(4):60–62.
[8]王经明，董书宁，刘其声.煤矿突水灾害的预警原理及其应用[C]//中国煤炭学会矿井地质专业委员会、中国煤炭工业劳动保护科学技术学会水害防治专业委员会2005年学术交流会论文集，西安：《煤田地质与勘探》编辑部，2005:5–8.
[9]尹尚先.矿井突(涌)水预测及预警研究[J].华北科技学院学报，2009,6(4):1–6.YIN Shangxian. The study of forecasting and warning about water inrush from the coal mine[J]. Journal of North China Institute of Science and Technology,2009,6(4):1–6.
[10]刘栋，周孟然，闫鹏程，等.基于LIF技术的煤矿突水预警研究[J].煤炭技术，2016,35(7):178–180.LIU Dong,ZHOU Mengran,YAN Pengcheng,et al. Research on coal mine water inrush warning based on LIF technology[J].Coal Technology,2016,35(7):178–180.
[11]张亮，陶士西，李计良.基于Labview的矿井工作面突水预警系统构建研究[J].矿业安全与环保，2013,40(3):40–42.ZHANG Liang,TAO Shixi,LI Jiliang. Study on construction of early warning system of water inrush in working face based on Labview[J]. Mining Safety&Environmental Protection,2013,40(3):40–42.
[12]段李宏.煤矿水害预警系统设计[J].工矿自动化，2013,39(9):116–118.DUAN Lihong. Design of pre-warning system of coal mine water disaster[J]. Industry and Mine Automation,2013,39(9):116–118.
[13]王兰健，韩仁桥.水情监测预警系统在海下采煤中的应用[J].煤田地质与勘探，2006,34(6):54–56.WANG Lanjian,HAN Renqiao. Application of flooding forecasting system to coal mining under sea[J]. Coal Geology&Exploration,2006,34(6):54–56.
[14]国家煤矿安全监察局.煤矿防治水细则[M].北京：煤炭工业出版社，2018.
[15]刘德民，连会青，李飞.封闭不良钻孔侧壁突水机理研究[J].中国安全生产科学技术，2014,10(5):74–77.LIU Demin,LIAN Huiqing,LI Fei. Research on mechanism of water-inrush at side face of poor sealing borehole[J]. Journal of Safety Science and Technology,2014,10(5):74–77.
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