Big Data Analytics Platform for Flight Safety Monitoring

被引：0

作者：

Li, Bo ^{[1
]}

Ming, Xinguo ^{[1
]}

Li, Guoming ^{[1
]}

机构：

[1] Shanghai Jiao Tong Univ, Inst Intelligent Mfg & Informat Engn, Shanghai, Peoples R China

来源：

2017 IEEE 2ND INTERNATIONAL CONFERENCE ON BIG DATA ANALYSIS (ICBDA) | 2017年

关键词：

big data; flight safety monitoring; business process; architectural framework; SYSTEMS;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The conventional methods of data analytics for flight safety monitoring have met many bottlenecks. This paper analyzes the insufficiencies of the preliminary business process of an airline. For the purpose of meeting requirements of efficiency and accuracy and avoiding the drawbacks encountered before, the architectural framework of the flight safety monitoring platform utilizing big data technology is proposed and demonstrated by the function module structure and logical structure. The platform is implemented by dividing the system into five subsystems, namely data acquisition, data decoding, data storage, data analysis and visualization.

引用

页码：355 / 358

页数：4

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