基于熵权-模糊可变集理论的煤矿井突水水源识别

发布时间：2018-05-14 22:08

本文选题：突水水源识别 + 水化学指标　；参考：《煤炭学报》2017年09期

【摘要】：在阐述熵权法和模糊可变集理论的基础上,针对平顶山煤田首山一矿和十三矿4个充水水源中所提取的23个水样,构建了识别矿井突水水源的数学模型,并利用该模型对8个水样进行了来源识别。结果表明:各类充水水源中Ka~++Na~+,Ca~(2+),Mg~(2+),Cl~-,SO_4~(2-)和HCO_3~-等6项化学指标值在区间特定值附近出现的概率比较高,可用模糊可变集理论识别突水水源;熵权法计算的Ka~++Na~+和Ca~(2+)权重值分别为0.270 8和0.371 3,远高于其他指标的权重值,且其权重值之和占64.21%,说明两项指标在矿井突水水源识别中起主要作用;8组水样识别时,除水样8识别结果不符合实际外,其余均与实际类型相符,其准确率为87.5%;对于平顶山煤田来说,识别模型中的优化准则参数a选取2时,熵权-模糊可变集模型识别突水水源的准确性更高;应依据丰富的时空水质检测数据来建立模型并及时应用新的资料予以修正,以保证所建识别模型符合实际并与时俱进。
[Abstract]:On the basis of entropy weight method and fuzzy variable set theory, a mathematical model for identifying water inrush water source of coal mine is established based on 23 water samples extracted from 4 water-filled water sources in Shoushan No. 1 Mine and No. 13 Mine in Pingdingshan Coal Field. The model was used to identify the source of 8 water samples. The results show that the probability of the occurrence of six chemical index values, such as Ka- Na ~ The weight values of KaNaand Ca~(2 calculated by entropy weight method are 0.270 8 and 0.371 3 respectively, which are much higher than the weight values of other indexes, and the sum of the weight values accounts for 64.21. It shows that the two indexes play a major role in the identification of water samples of 8 groups of water inrush. With the exception of water sample 8 which does not accord with the reality, the others are consistent with the actual type, and the accuracy is 87.5. For Pingdingshan coalfield, the parameter a of the optimization criterion in the identification model is 2. The entropy weight-fuzzy variable set model is more accurate in identifying water inrush water source, and the model should be established based on abundant spatio-temporal water quality detection data and modified with new data in time, so as to ensure that the identified model is in line with the reality and keeps pace with the times.
【作者单位】：河南理工大学资源环境学院;中国平煤神马集团能源化工研究院;中原经济区煤层(页岩)气河南省协同创新中心;平顶山天安煤业股份有限公司;
【基金】：国家自然科学基金资助项目(41672240) 河南省高校科技创新团队支持计划资助项目(15IRTSTHN027) 河南省创新型科技人才队伍建设工程资助项目(CXTD2016053)
【分类号】：TD745.2

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