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为及时发现矿井通风系统中存在的问题,排除安全隐患,构建一种合理、有效的矿井通风系统安全可靠性评判模型.应用统计学理论,结合矿井通风系统经济性、安全性的要求,利用SPSS软件对学习样本进行因子分析(FA),有效的选取主因子,对主因子进行Fisher判别分析(FDA),建立因子Fisher判别分析模型(FA-FDA).用建立的因子Fisher判别分析函数对待测样本进行分类,并对实际生产的矿井通风系统安全性进行判别.研究结果表明:预测结果与实际结果相吻合,因子Fisher判别分析模型在研究矿井通风系统安全可靠性方面性能较好,预测精度高,操作过程简单,便于实际推广.
In order to find out the problems existing in the mine ventilation system in time and eliminate the potential safety hazard, a reasonable and effective model for evaluating the safety and reliability of the mine ventilation system is constructed.Using statistical theory, combined with the requirements of mine ventilation system economy and safety, The software performs factor analysis (FA) on the learning samples, effectively selects the main factor, performs Fisher Discriminant Analysis (FDA) on the main factor, and establishes the Fisher discriminant analysis model (FA-FDA) by using the established Fisher discriminant analysis function Samples were classified and the safety of mine ventilation system was identified.The results show that the prediction results are in good agreement with the actual results and the Fisher discriminant analysis model has good performance in studying the safety and reliability of the mine ventilation system and the prediction accuracy is high , The operation is simple, easy to promote the actual.