基于大数据分析的空管设备检修模式

针对空管设备数据的海量化趋势,通过大数据分析技术对设备状态进行深层次高质量评估,提出基于状态的设备检修模式,以达到既能消除设备故障隐患、提高可靠性,又能节省成本、提高工作效率的目的。

In view of the rapid growth of air traffic control equipment data,high-quality evaluation of equipment status is carried out through big data analysis technology,and a state-based equipment maintenance mode is proposed to eliminate hidden trouble,im prove reliability,save costs,and also increase work efficiency.