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作 者:丁建立[1] 黄辉 曹卫东[1] DING Jianli;HUANG Hui;CAO Weidong(College of Computer Science and Technology,Civil Aviation University of China,Tianjin 300300,China)
机构地区:[1]中国民航大学计算机科学与技术学院,天津300300
出 处:《计算机应用》2024年第12期3941-3948,共8页journal of Computer Applications
基 金:国家自然科学基金资助项目(U2233214,U2033205)。
摘 要:为了更准确地把握航班运行的整体状态,提出一种航班链运行状态动态监控方法。首先,从航班链整体的角度出发,根据航班链运行业务流程和数据特点设计航班链数据处理方法,并整合航班链全生命周期内相关航班和机场的运行状态特征;其次,构建包含航班链延误预测模块、基于历史数据的误差补偿模块和航班链状态监控模块在内的航班链运行状态动态监控功能模型;最后,基于增量学习设计了模型的动态更新策略,从而提高模型的鲁棒性。通过在实验室环境下进行的模拟实验可知,所提方法在运算效率和准确度上均取得了优异结果,其中准确率达到92.07%。因此,所提方法能有效监控航班链运行状态,有助于实现对航班运行态势的精准把控并提高运控效能。In order to grasp the overall status of flight operation more accurately,a dynamic monitoring method of flight chain operation status was proposed.Firstly,from the perspective of the whole flight chain,a flight chain data processing method was designed on the basis of the flight chain operation business process and data characteristics,and the operation status characteristics of relevant flights and airports in all life cycle of the flight chain were integrated.Then,a dynamic monitoring function model of flight chain operation status including flight chain delay prediction module,error compensation module based on historical data,and flight chain status monitoring module was constructed.Finally,a dynamic update strategy of the model was designed on the basis of incremental learning in order to improve the model robustness.Through simulation experiments in laboratory environment,it can be seen that the proposed method achieves excellent results in terms of computational efficiency and accuracy,and the accuracy reaches 92.07%.Therefore,the proposed method can monitor the operation status of flight chain effectively,help to achieve precise control of the flight operation situation,and improve operational control efficiency.
关 键 词:航班链运行状态 动态监控 航班延误 误差补偿 增量学习
分 类 号:TP182[自动化与计算机技术—控制理论与控制工程]
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