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随着空管信息化的不断深入,作为信息载体的大量数据,在空管领域愈加受到重视。如何将获取的数据有效地应用在空管自动化系统中成为一个新的研究方向。本文从数据挖掘的原理出发,结合空管数据的特殊性,基于空管自动化系统的总体框架,对数据挖掘技术在空管自动化系统的多源监视数据处理、4D轨迹估算和飞行流量预测方面的运用进行了探讨。
With the continuous deepening of informationization of ATC, a large amount of data as information carrier has drawn more and more attention in the field of ATC. How to apply the acquired data effectively in ATC system becomes a new research direction. Based on the principle of data mining, combined with the particularity of ATC data, based on the overall framework of ATC system, this paper analyzes the data mining technology in multi-source surveillance data processing, 4D trajectory estimation and flight flow forecasting of ATC automation system Using the discussion.