基于SPSS的工作面点面结合的突出预测指标研究

 选取了开滦集团有代表意义的3297综采工作面运输巷掘进工作面进行突出指标考察，论文研究了不同突出征兆对应突出风险度的大小，并采用归一法得出了各种不同突出预兆对应的突出后果严重度，在此基础上利用SPSS软件Logistic回归分析法，拟合得出了点面结合的预测新指标Logistic回归方程。研究结果表明，点面结合的Logistic回归预测指标不仅能实现突出危险性大小的定量化（突出概率），而且能够提高预测不突出准确率和预测突出准确率。

Study on Point and Plane Combined Outburst Prediction Index of Coal Mining Face Base SPSS

The paper selected the transportation gateway driving face of No.3297 fully mechanized coal mining face in Zhaogezhuang Mine of Kailuan Group for the outburst index investigation.The paper studied different outburst omen to the size of the outburst risk.A normalization method was applied to have different outburst foretastes related to the serous degree of the outburst results.Base on the circumstances,the Logistic regression analysis method of the SPSS software was applied to fit and have the new index Logistic regression equation of the point and plan combined prediction.The study result showed that the point and plan combined Logistic regression prediction index could not only have the quantity(outburst probability) of the outburst danger size,but also could improve the accuracy of the no outburst prediction and accuracy of the outburst prediction.