An On-Demand Weather Avoidance System for Small Aircraft Flight Path Routing
An On-Demand Weather Avoidance System for Small Aircraft Flight Path Routing
复制标题
小型飞机飞行路径路由的按需天气规避系统
DOI：
10.1007/978-3-030-61725-7_36
复制
发表时间：
2020
期刊：
影响因子：
--
通讯作者：
Ruth, P
中科院分区：
文献类型：
--
作者：
Lyons, E;Westbrook, D;Grote, A;Papadimitriou, G;Thareja, K;Wang, C;Zink, M;Deelman, E;Mandal, A;Ruth, P
对流天气事件对新兴的低空航空业提出了挑战。小型飞机对风和降水很敏感，但与预报相关的不确定性以及影响性天气发生的频率需要主动检测和响应系统。在本文中，我们提出了一个动态的，数据驱动的决策支持系统，预测，实时传感器观测和路线规划的组成部分。我们在达拉斯/沃斯堡大都市展示了我们的技术，这是一个经常有雷暴的大城市地区，拥有CASA多普勒雷达网络。该网络提供的高时空分辨率数据使我们能够快速准确地识别正在进行的气象灾害，用于飞行计划。快速更新的短期（0-90分钟）预测数据生成的功能提取的障碍，以避免。飞行路径生成器提交对路径路由的请求，该路径路由包括随机化的开始和结束位置和时间、天气容限参数和缓冲区。将创建自定义的障碍跑道，并将其用作布线的基础。天气处理工作流程使用Mobius实例化，这是一个多云配置系统。Pegasus工作流管理系统通过可扩展的工作负载分配来协调处理以计算资源。传感器数据以真实的时间传输和处理，并且为建议的飞行周期性地计算路线。谷歌地图前端界面显示天气特征和飞行路径。在这里，我们专注于整体系统设计，特别强调我们的架构允许的动态灵活性和互操作性。
Convective weather events pose a challenge to the burgeoning low altitude aviation industry. Small aircraft are sensitive to winds and precipitation, but the uncertainty associated with forecasting and the frequency with which impactful weather occurs require an active detect and response system. In this paper, we propose a dynamic, data-driven decision support system, with components of forecasting, realtime sensor observations, and route planning. We demonstrate our technology in the Dallas/Fort Worth metroplex, a large urban area with frequent thunderstorms which hosts the CASA Doppler radar network.The high temporal and spatial resolution data provided by this network allows us to quickly and accurately identify ongoing meteorological hazards for flight planning purposes. Rapidly updating short term (0–90 min) forecast data are generated with features extracted as obstacles to avoid. A flight path generator submits requests for path routing which include randomized start and end locations and times, weather tolerance parameters, and buffer zones. A customized obstacle course is created and used as the basis for routing. Weather processing workflows are instantiated with Mobius, a multicloud provisioning system. The Pegasus Workflow Management System orchestrates processing via scalable workload distribution to compute resources. Sensor data is transmitted and processed in real time, and routes are periodically calculated for proposed flights. A Google Maps front-end interface displays the weather features and flight paths. Herein, we focus on the overall system design, with particular emphasis on the dynamic flexibility and interoperability that our architecture allows.
DOI：
10.1201/9781351036863-5
发表时间：
2019-05
期刊：
Contemporary High Performance Computing
影响因子：
--
作者：
K. Keahey;Pierre Riteau;D. Stanzione;T. Cockerill;J. Mambretti;P. Rad;Paul Ruth
通讯作者：
K. Keahey;Pierre Riteau;D. Stanzione;T. Cockerill;J. Mambretti;P. Rad;Paul Ruth
面向科学工作流程的以动态网络为中心的分布式云平台：自适应天气感知案例研究
DOI：
10.1109/escience.2019.00015
发表时间：
2019
期刊：
2019 15th International Conference on eScience (eScience
影响因子：
--
作者：
Lyons, Eric;Papadimitriou, George;Wang, Cong;Thareja, Komal;Ruth, Paul;Villalobos, J. J.;Rodero, Ivan;Deelman, Ewa;Zink, Michael;Mandal, Anirban
通讯作者：
Mandal, Anirban