基于云计算的空管生产数据处理系统设计
Design of Air Traffic Management Production Data Processing System Based on Cloud Computing
张彦伟1
作者信息
- 1. 民航新疆空中交通管理局,新疆乌鲁木齐 830011
- 折叠
摘要
文章提出了一个基于云计算技术的空管生产数据处理系统设计,该系统设计采用OpenStack和广域信息管理系统(system wide information management,SWIM)空管云技术,旨在解决现有空管数据处理中的问题.系统采用B/S模式,实现多用户、多场景、多地域的数据处理,包含数据预处理、监视数据处理、飞行计划处理等功能.系统利用Open-Stack搭建云计算平台,一种开源的关系型数据库管理系统(my structured query language,MySQL)作为数据库,Java语言开发.系统性能测试表明其具备良好的性能和用户体验,为空管生产数据分析和挖掘提供了全服务能力.该系统的实现为空管信息管理带来了安全、高效、透明的解决方案.
Abstract
This paper presents the design of an air traffic management production data processing system based on cloud computing technology.The system design utilizes OpenStack and the Sys-tem Wide Information Management(SWIM)air traffic management cloud technology to ad-dress issues in existing air traffic management data processing.The system adopts a B/S architec-ture,enabling data processing for multiple users,scenarios,and regions,including data prepro-cessing,surveillance data processing,and flight plan processing functionalities.The system is built on a cloud computing platform using OpenStack and employs an open-source relational da-tabase management system(my structured query language,MySQL)as the database,developed using Java language.Performance testing of the system demonstrates its excellent performance and user experience,providing comprehensive service capabilities for air traffic management production data analysis and mining.The implementation of this system brings secure,efficient,and transparent solutions to air traffic information management.
关键词
云计算/SWIM/空管生产数据处理/系统设计Key words
Cloud Computing/SWIM/Air Traffic Management Production Data Processing/System Design引用本文复制引用
出版年
2024
NETL
NSTL
万方数据