煤矿工作面底板突水灾害预警重点监测区域评价技术

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。

Evaluation technology for key monitoring area of early warning of water inrush from the floor of working face in coal mine

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.