摘要
快速准确判别矿井突水水源是解决矿井水害关键性问题之一,可以保证煤矿的财产与生命安全。通过利用主成分分析对突水水源评价指标进行处理分析,采用熵权法对突水水源评价指标赋权重,再结合可拓模型确定各验证样本的综合权重,最后根据最大隶属度原则对验证样本进行归类,从而建立突水水源判别模型。结果显示煤系水、太灰水及奥灰水判别结果正确率分别为83.33%、83.33%、66.67%,整体判别结果正确率为80%,表明该方法针对矿井突水的水源判别具有较好的准确性。
Rapid and accurate identification of source of water inrush is one of the key problems to solve mine water hazard, which can ensure the safety of coal mine property and life. Firstly, using the principal component analysis to analyze the evaluation index of source of water inrush, and making use of the entropy weight method to assign weight to evaluation index of source of water inrush. Then the comprehensive weight of each sample is determined by the extension model. Finally, according to the maximum membership principle, source of water in- rush diseriminant model is established. Results show that the discriminant result accuracy of coal measures water, limestone water in taiyuan formation and the ordovician limestone water are 83.33% , 83.33% and 66.67% respectively, and the discriminant result accuracy on the whole is 80% , which indicates that this method has better accuracy for identifying source of mine water inrush.
出处
《安徽理工大学学报（自然科学版）》
CAS
2017年第6期34-40,共7页
Journal of Anhui University of Science and Technology:Natural Science
基金
国家自然科学基金资助项目(41472235)
关键词
突水水源
主成分分析
熵权法
可拓模型
权重
source of water inrush
principal component analysis
entropy method
extension model
weight
