MRI: Acquisition of Mobile, Distributed Instrumentation for Response Research (RESPOND-R)

MRI：获取用于响应研究的移动分布式仪器 (RESPOND-R)

• 批准号: 0923203
• 负责人: Robin Murphy
• 金额: $ 140万
• 依托单位: Texas A&M Engineering Experiment Station
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2013-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0923203&HistoricalAwards=false
• 关键词: MRI; Acquisition; Mobile; Distributed; Instrumentation

Proposal #: CNS 09-23203 PI(s): Murphy, Robin R.; Ames, Aaron D.; Gutierrez-Osuna, Ricardo; Song, Dezhen; Stoleru, RaduInstitution: Texas A & M College Station, TX 77843-3000Title: MRI/Acq.: Mobile, Distributed Instrumentation for Response Research (RESPOND-R)Project Proposed:This project, acquiring equipment to create a mobile, modular, distributed instrument called RESPOND-R, aims to develop an integrated, interoperable research instrument suitable for a comprehensive use of Cyber-Physical Systems (CPS) technologies for various types of incidents: urban building and bridge collapse (earthquakes, hurricanes, explosives), radiological or chemical spills, and terrorism. CPS explores new technologies such as robots, wireless networks, miniature sensors, sensor networks, and other types for emergency preparedness, prevention, response, and recovery. The instrument services projects in multidisciplinary research in Emergency Informatics for disaster response. Emergency Informatics consists of a real-time collection, processing, distribution, and visualization of information for emergency preservation, preparedness, response, and recovery. RESPOND-R addresses the lack of an Integrated Emergency Informatics Instrument that can be configured to support scenario-based experimentation and transported to exercises and responses. To capture the interaction of devices, the physical worlds, and human decision making, the project will use the Disaster City facility at the institution. CPS components in core areas (unmanned systems, imaging/chemical and radiological sensors, wireless communication networks, nodes and motes, and human performance) will be acquired. Addressing testing within real-world conditions and scenarios, RESPOND-R is expected to advance knowledge in the emerging, multidisciplinary fields of Emergency Informatics and CPS by providing access to a complete, large scale system that is located in a fidelity disaster testbed or can be transported to homeland security exercises or actual incidents. RESPOND-R will be open to researchers outside the institution, with a projection that 22 universities will participate over 3 years.Broader Impacts: Used by 18 faculty in 8 departments and 2 colleges (Engineering and Architecture), the instrument contributes to educate 10-20 graduate students each year through field components of courses and dissertation work. Leveraging initiatives for underrepresented group, RESPOND-R will also be utilized for the training of 1000 responders and policy makers. In keeping with instruments used by ?storm chasers,? the instrument will be deployable for exercises and disasters where CPS components can reduce negative outcomes of events while gathering extremely valuable data and/or save lives.

提案编号：CNS 09-23203 PI(s): Murphy, Robin R.；艾姆斯，亚伦D.；里卡多Gutierrez-Osuna;歌,Dezhen;机构：Texas A &amp； M College Station, TX 77843-3000Title: MRI/Acq。响应研究的移动、分布式仪器（Response - r）项目建议：该项目旨在获取设备，创建一个名为Response - r的移动、模块化、分布式仪器，旨在开发一种集成的、可互操作的研究仪器，适用于综合使用网络物理系统（CPS）技术，用于各种类型的事件：城市建筑和桥梁倒塌（地震、飓风、爆炸）、放射性或化学泄漏，以及恐怖主义。CPS探索新技术，如机器人、无线网络、微型传感器、传感器网络和其他类型的应急准备、预防、响应和恢复。该仪器服务于灾害应急信息学的多学科研究项目。应急信息学包括实时收集、处理、分发和可视化信息，用于应急保存、准备、响应和恢复。response - r解决了缺乏综合应急信息工具的问题，该工具可配置为支持基于场景的实验并传送到演习和响应中。为了捕捉设备、物理世界和人类决策之间的相互作用，该项目将使用该机构的灾难城市设施。将获得核心领域的CPS组件（无人系统、成像/化学和放射传感器、无线通信网络、节点和粒子以及人类性能）。通过在真实世界条件和场景中进行测试，response - r预计将通过提供位于保真灾难试验台的完整、大规模系统的访问，推进应急信息和CPS新兴多学科领域的知识，或者可以运输到国土安全演习或实际事件中。response - r将对该机构以外的研究人员开放，预计3年内将有22所大学参与。更广泛的影响：该仪器由8个系和2个学院（工程和建筑）的18个教员使用，每年通过课程和论文的实地组成部分培养10-20名研究生。利用针对代表性不足群体的倡议，response - r还将用于培训1000名响应者和决策者。与使用的仪器保持一致？风暴追逐者,?该仪器将用于演习和灾害，其中CPS组件可以减少事件的负面结果，同时收集极有价值的数据和/或拯救生命。