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ITR/NGS: Collaborative Research: DDDAS: Data Dynamic Simulation for Disaster Management

ITR/NGS: Collaborative Research: DDDAS: Data Dynamic Simulation for Disaster Management
ITR/NGS:合作研究:DDDAS:灾害管理数据动态模拟
批准号:
0325314
负责人:
Jan Mandel
金额:
$62.1万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2003
资助国家:
美国
项目状态:
已结题
起止时间:
2003-09-15 至 2008-08-31

项目摘要

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中文摘要
翻译
ITR:协作研究:DDDAS:灾害管理的数据动态模拟Janice L.Coen、Craig C.Douglas、Leopoldo P.Franca、Robert Kremens、Jan Mandel、Anatolii Puhalskii、Anthony Vodacek和魏昭该项目将为灾害建模和管理开发先进的信息技术工具、数学模型和原型基础设施。该项目将在灾害指挥中心需要的地方实时提供全面的信息和数值预报。该系统将整合来自数据流的大量信息,如地图、传感器、测量和天气数据,数学模型将在远程超级计算机上运行。该模型将由动态可用的数据控制,结果将在分布式设备上可视化,比如通过无线以太网和宽带卫星链路连接到互联网的笔记本电脑和掌上电脑。其他传感器和机载成像仪也将无线联网。设想的建模系统的核心将是现有的荒地和该地区周围天气的计算机模型,这些模型将使用现代软件工程方法作为数据驱动的应用程序从头开始重写,并通过新的数学建模技术和先进的统计技术进行增强,以管理不确定性。高性能中间件将被用来将计算节点、传感器节点、测量节点和可视化节点连接成分布式信息和建模系统。新的网络软件技术将使节点之间的通信更加安全,并提供服务质量保证。该系统的设计将容忍通信中断、延迟增加和节点丢失。
英文摘要
ITR: Collaborative Research: DDDAS:Data Dynamic Simulation for Disaster ManagementJanice L. Coen, Craig C. Douglas, Leopoldo P. Franca, Robert Kremens,Jan Mandel, Anatolii Puhalskii, Anthony Vodacek, and Wei ZhaoThis project will develop advanced Information Technology tools, mathematical models, and prototype infrastructure for disaster modeling and management. The project will bring comprehensive information and numerical prediction where it is needed, at the disaster command center, in real time.The system will incorporate large volume of information from data streams, e.g., as maps, sensor, surveyance, and weather data, and the mathematical model will run on remote supercomputers. The model will be controlled by dynamically available data, and the results visualized in distributed devices, like laptops and palmtops connected to the Internet by wireless ethernet and a broadband satellite link. Other sensors and airborne imagers will also be networked wirelessly. The core of the envisioned modeling system will be an existing computer model of wildland and weather around the area, adn these models will be rewritten from scratch using modern software engineering methodology as a data driven application, and enhanced by new mathematicalmodeling techniques together with advanced statisticaltechniques will be used to manage uncertainty. High-performance middleware will be used toconnect computational nodes, sensor nodes, surveyance nodes, and visualization nodes into adistributed information and modeling system. New network software technologies will makethe communication between the nodes secure and provide quality of service guarantees. Thesystem will be designed to tolerate interruptions of communication, increased latencies, and nodedisappearances.
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