【作者】 文广超；

【导师】 邓寅生；

【作者基本信息】 河南理工大学 ， 地质工程， 2009， 硕士

【摘要】 随着开采水平的延伸和开采范围的扩大,矿井生产向纵深发展,矿井水害的威胁越来越严重,矿井水文地质工作也越来越多地得到了人们的广泛关注。本文在充分熟悉矿井防治水工作流程、了解现场矿井防治水急需的技术及遇到的难题的基础上,经过广泛调研,将水文地质、地理信息系统、数学地质、人工智能、计算机等技术相结合,研究了影响矿井煤层底板突水的关键因素,有目的地搜集现场水文地质资料,基于SQL Server2000数据库平台建立了矿井水文地质基础数据库,基于SuperMap Deskpro建立了矿井水文地质图形库;对矿井水害预测模型、矿井水文地质数据管理与可视化、专家系统在矿井水害预测与治理中的应用、水源判别方法等问题进行了深入研究,在Visual Studio .NET 2003平台下,建立了基于GIS的矿井煤层底板突水预测系统。利用突水系数与趋势、残差分析相结合实现了突水危险性分区、掘进及回采工作面突水预测;利用BP神经网络,综合考虑构造、水源、水压、隔水层厚度等因素对煤层底板突水的影响,实现了突水点预测;应用人工智能技术,模拟专家思维方式,实现了掘进与回采工作面突水问题的预测功能。系统建成后,在平煤五矿进行了应用,取得了良好的效果。更多还原

【Abstract】 With the extending exploitation’s level and range,Mine production develops to depth. The flood threaten is increasingly serious. Mine hydrogeological work has been concerned by more and more people.On the basis of fully familiar with workflow of the mine flood forecast and control and understanding much-needed technology and the problems at the mine flood forecast and control, through extensive research,with the technology of hydrogeology, GIS, mathematics geology,artificial intelligence, computer technology and so on,this article research the key factors on the impact of the mine coal bed floor water inrush.After collecting the hydrogeological data at the scene,built a basis database of the mine hydrogeology based on the platform of SQL Server2000,establish a mine hydrogeological graphics library based on the SuperMap deskpro.On the basis of deep research the mine flood forecasting model, mine hydrogeological data management and visualization, application of expert system in the mine flood forecasting and management, identify water sources and other issues.Built the forecast system for water inrush from mine coal bed floor based on GIS in the platform of visual studio .net2003. It carries out risky district of flood, water-inrush forecast of driving and return-to-pick working face by using the flood coefficient,the trend and residual error analysis method; water inrush points forecast by using the BP neural network and considering the flood effect of structure, water source, water pressure, aquifuge thickness to coal floor; water inrush forecast of driving and coalface by using the artificial intelligence technology and simulated the expert thinking mode. Moreover, the soft has been tested in WUKUANG of Pingdingshan bore field and the result is good.更多还原