RAPID: Rapid Response for a Human Sensor Aware Fukishima Debris Monitor and Prediction System.

RAPID：人体传感器感知福岛碎片监测和预测系统的快速响应。

• 批准号: 1259304
• 负责人: Milton Halem
• 金额: $ 16.62万
• 依托单位: University of Maryland Baltimore County
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-10-01 至 2013-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1259304&HistoricalAwards=false
• 关键词: RAPID; Rapid; Response; Human; Sensor

The purpose of the project is to provide rapid response to natural disasters by developing a situation aware virtual information observatory to extreme events occurring anywhere in the world. The project focuses on methods by which the multiuser virtual world can have a coherent representation of assets, which differ by type and scale, by assimilating the physical and observational data into operational predictive models. It will utilize cloud computing services to integrate these divergent assets for effective real time data assimilation of multimedia data information streaming and meta-tagging into real world socio-physical models, employing unstructured databases that can be queried in this specific virtual world for distributed viewers and decision makers to experience their impact. These activities will interact with the virtual observatory to make more effective decisions in planning event response by providing a scenario querying and testing platform.

该项目的目的是对自然灾害作出快速反应，方法是建立一个了解情况的虚拟信息观测站，监测世界任何地方发生的极端事件。该项目的重点是多用户虚拟世界可以通过将物理和观测数据同化到操作预测模型中来对不同类型和规模的资产进行一致表示的方法。它将利用云计算服务来整合这些不同的资产，以便将多媒体数据信息流和元标记有效地真实的时间数据同化到真实的世界社会物理模型中，采用可以在这个特定的虚拟世界中查询的非结构化数据库，以便分布式观众和决策者体验其影响。这些活动将与虚拟天文台互动，通过提供情景查询和测试平台，在规划事件响应方面做出更有效的决策。