%0 Journal Article
%T 基于主成分析及距离判别法的煤矿安全状态判别模型的研究<br>Research on the Discrimination Model of Coal Mine Safety State Based on Principal Component and Distance Discrimination Method
%A 刘中原
%A 张法兴
%A 程艳晨
%A 孙均雨
%J Mine Engineering
%P 132-141
%@ 2329-731X
%D 2023
%I Hans Publishing
%R 10.12677/ME.2023.112017
%X 本文致力于煤矿竖井安全状态判别模型的研究，采用主成分分析方法解析影响煤矿竖井安全的多特征因素，简化多元数据结构，然后结合距离判别方法将处理过的样本数据作为判别因子，得到相应的判别函数进行预测，建立了一套基于主成分分析和距离判别法的煤矿竖井安全状态判别模型，实现了煤矿竖井安全状态有效判别，准确率达到100%，保证了煤矿安全运营，这对煤矿竖井井筒的安全性和稳定性的评价具有借鉴意义。<br />
This paper draws lessons from the principal component analysis theory of multiple information of coal mine information refining, the multiple related, the information of index variables, combining into unrelated comprehensive index instead of the original index, simplifying multiple data struc-tures, then combining the processed sample data as the discrimination method, get the corre-sponding discriminant function to predict, established a set of coal mine shaft safety discrimination based on principal component analysis and distance discrimination model, realize the coal mine shaft safety state effective discrimination, accuracy of 100%, ensure the safe operation of coal mine. This has reference significance for evaluating the safety and stability of coal mine shaft.
%K 煤矿，竖井，安全状态判别<br>Coal Mine
%K Shaft
%K Security Status Discrimination
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=63800