AIMS: an SQL-based system for airspace monitoring

Gereon Schüller, Andreas Behrend
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引用次数: 15

Abstract

In this paper, we present the "Airspace Monitoring System" (AIMS) for monitoring and analyzing flight data streams with respect to the occurrence of arbitrary complex events. In contrast to already existing tools which often focus on a single task like flight delay detection, we want to provide a more general system that allows for a comprehensive analysis of aircraft movements. This includes, e.g., the detection of critical deviations from the current flight plan, abnormal approach parameters of landing flights as well as areas with an increased risk of collisions. To this end, tracks are extracted from cluttered radar data and SQL views are employed for a timely processing of these tracks. Our general aim is to show that conventional relational database technology is capable of dealing with data streams of remarkably high complexity and frequency.
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目标:一个基于sql的空域监测系统
在本文中,我们提出了“空域监测系统”(AIMS),用于监测和分析与任意复杂事件发生有关的飞行数据流。与现有的工具(通常专注于航班延误检测等单一任务)相比,我们希望提供一个更通用的系统,允许全面分析飞机运动。这包括,例如,检测与当前飞行计划的严重偏差,着陆航班的异常进近参数以及碰撞风险增加的区域。为此,从杂乱的雷达数据中提取航迹,并利用SQL视图对航迹进行及时处理。我们的总体目标是展示传统的关系数据库技术能够处理非常复杂和频繁的数据流。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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