任楼煤矿水源判别模型的自动识别
JUDGEMENT MODEL OF WATER RESOURCE AND THE AUTO-IDENTIFICATION SYSTEM IN RENLOU COAL MINE
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摘要: 在新区矿井样本少的条件下,多类判别的问题一直难以解决,特别是发生过突水淹井的煤矿,各含水层的地下水有了一定的混合,判别水源就更为困难。因此需要一种快速、有效、准确的判别方法,对水源逐对辨别,并按概率最高者归类。将这一方法应用于任楼煤矿,对某工作面凭经验难以判别的水源进行确定,收到了很好的效果,肯定了注浆效果,取消了防水闸门。这一结论已被生产验证。这种方法在水样少的条件下具有普遍的用途。Abstract: It is difficult to determine water resources from multiple aquifers in a new area when the water sample amount is small.If the resources are mixed together by mine flood,the problem become more difficult.However,coal mines need quick,accurate and effective methods to discriminate the water resources.By taking advantage of the features of the discrimination between two resources that still has a better result even if the sample amount is small,the discriminants are established.Discriminated pair by pair,mine flow resources are determined according to their highest possibility.The method was successfully applied to Renlou Coal Mine to discriminate mine flow resource that was hard to determined by experience.The effect of grouting was confirmed and the proposal about the waterproof door was canceled.The conclusion is proven to be corrcet by production.This method can be broadly used in the area where the sample amount is small.