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Water Inrush Source of Xinzhuangzi Coal Mine Identified with Gray Related Degree Method

机译:用灰色关联度法确定新庄子煤矿突水水源。

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摘要

Identifying water inrush source rapidly and effectively can prevent water damage of mine. Based on gray system theory, several water quality indexes of each aquifer are selected to set up discrimination model of water source of mine inrush which can adapt to different types of water quality by applying analytical method of gray related degree. This model was realized by MATLAB software, and Xinzhuangzi coal mine in Huainan was taken for example. Compared with the model of fuzzy comprehensive evaluation, the result indicates that analytical method of gray related degree can identify water inrush source effectively and its accuracy rate in discrimination is higher than the model of fuzzy comprehensive evaluation. The model advantage of gray related degree is that it does not request so much about the number size of samples, as well as the distributed law. The result of analysis is in accord with the result of general qualitative analysis, and it's fit for the rapid discrimination of water inrush source. It has high applied value in identifying water inrush source.
机译:快速有效地识别水源可以防止矿井水的破坏。基于灰色系统理论,选择了每个含水层的几种水质指标,通过运用灰色关联度分析方法,建立了适应不同类型水质的矿井突水水源判别模型。该模型是通过MATLAB软件实现的,以淮南新庄子煤矿为例。与模糊综合评价模型相比,结果表明,灰色关联度分析方法可以有效地识别水源,其判别准确率高于模糊综合评价模型。灰色关联度的模型优势在于,它不需要太多的样本数量以及分布规律。分析结果与一般定性分析结果相吻合,适合快速判别水源。在识别水源方面具有很高的应用价值。

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