基于大数据的民用飞机未来运营模式探索

大数据作为一种新兴的IT实现方式,在深刻影响IT业变革的同时,也为航空业带来了新的发展机遇。飞机运行过程中产生的海量运营数据最能体现民机的大数据基因,基于大数据的飞机运营支援将会是其在航空产业施展拳脚的主要战场之一。首先通过对航空大数据的梳理与分析,获得运营数据的种类、结构、数据流程以及相关特点。然后结合航空公司的具体业务需求,针对飞机典型复杂系统,分别以健康监控中的故障诊断、性能退化预测以及维修辅助决策几大关键技术作为大数据应用的切入点介绍技术研究路线,利用数据挖掘、机器学习等方法识别运营数据在系统不同健康状态下的特征表达,准确预测系统退化趋势,设置风险预警模型以提前预知潜在故障,最后从工程应用角度探讨这些关键技术的大数据实现平台以及基于大数据的运营业务流程。

Research on the Future Mode of Aircraft Operation Based on Big Data

As an emerging IT implementation, big data brings new challenges to the development of aviation industry, meanwhile exerting a profound influence on the IT industry revolution. The huge amount of data generated from aircraft operation is the best representation of the big data gene of aviation. The aircraft operational support based on big data would be one of the main fields of its ambitious applications. This paper firstly teases out the data category, data structure, data flow as well as data property through the analysis on the operational big data. Considering the specific requirements from airlines, three key techniques including fault diagnosis, degradation prediction for some typical complex systems and maintenance decision making are investigated as big data applications. Advanced data mining and machine learning methods will be used for feature expression of the operational data under different system health conditions as well as early warning models of some deterioration systems with potential faults. Lastly, the big data system and the operational workflow based on big data are discussed from the perspective of engineering application.