摘要
停机坪是机场的重要组成部分,停机坪安全是机场安全关注的重点。影响停机坪安全作业的要素有很多,通过对这些要素进行监控和预警,可以减少停机坪的安全隐患,保证机场正常运行。根据济南遥墙机场的主要数据,运用因子分析法对影响停机坪安全的主要因素进行分类,提取公共因子。并运用人工神经网络(ANN)方法,对这些公共因子进行神经网络训练和预测分析,最终得到遥墙机场停机坪的安全情况。
Apron is an important part of the airport.Apron′s safety is the focus of airport security.There are many factors that affect the safe operation of the apron,so that monitoring of these elements and giving an early warning can reduce the apron risks and ensure the normal operation of the airport.The paper classifies the main factors and extract the common factors using factor analysis on the impact of ramp safety.Then,these common factors are trained and make predictive analysis by artificial neural network,and get the safety situation in the Yaoqiang airport finally.
出处
《中国民航大学学报》
CAS
2011年第6期31-34,共4页
Journal of Civil Aviation University of China
基金
国家软科学项目(2007GXS3B052)
关键词
安全管理
预警
停机坪
因子分析法
人工神经网络
safety management
pro-warning
apron
factor analysis
artificial neural network
