多源信息融合技术在矿井奥灰突水预测中的应用

在井巷开拓和煤层的回采过程中,不可避免地要接近、揭露或波及破坏某些含水层(体),矿井水害是威胁矿井安全生产最大的事故隐患之一。同时,华北地区上组煤已经开发殆尽,开采下组煤已经成为不可避免的事实,下组煤开采必然面临着底板灰岩突水的威胁。本文通过采用基于G IS和证据理论(D-S理论)下的数据融合技术,对煤矿的底板灰岩突水进行了分析和预测,实现了比较好的效果。

Multi-sources information fusion method and its applications in prediction of water inrush of ordovician limestone aquifers in colliery

During mine development and coal extraction,it is unavoidable to approach and disclose or touch the aquifers(water body).Mine water flood has been one of the biggest hidden troubles of accidents.Meanwhile in the northeast China,the upper groups coal seams have nearly mined out,the lower groups of coal seams will be extracted in the future,and the water inrush from the limestone of the coal seams floor will be faced.The paper make a prediction of the water inrush of the limestone aquifers by using of the data fusion technology based on the GIS and D-S evidential theory,and satisfied results have been achieved.