课题基金 / 基金详情

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

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:
$140.0万
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
项目状态:
已结题
起止时间:
2009-09-01 至 2013-08-31

项目摘要

项目成果

Robin Murphy的其他基金

相似基金

相关文献

中文摘要
翻译
提案编号:CNS 09-23203 PI:Murphy,Robin R.;艾姆斯,亚伦D.; Gutierrez-Osuna,Ricardo; Song,Dezhen; Stoleru,RaduInstitution:Texas A M学院站,TX 77843- 3000职称: MRI/采集:移动的、分布式响应研究仪器(RESPOND-R)项目建议:该项目采购设备,以创建一个称为RESPOND-R的移动的、模块化、分布式仪器,旨在开发一个集成的、可互操作的研究仪器,适合于综合使用网络物理系统(CPS)技术来应对各种类型的事件:城市建筑和桥梁倒塌(地震、飓风、爆炸物)、放射性或化学品泄漏以及恐怖主义。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,用于应急保护、准备、响应和恢复。RESPOND-R解决了缺乏综合应急信息学仪器的问题,该仪器可以配置为支持基于METRO的实验并传输到演习和响应中。为了捕捉设备、物理世界和人类决策的交互,该项目将使用该机构的灾难城市设施。将采购核心领域的CPS组件(无人系统、成像/化学和放射性传感器、无线通信网络、节点和微粒以及人的性能)。在现实世界的条件和场景中进行测试,RESPOND-R预计将通过提供对位于保真度灾难测试平台或可以运输到国土安全演习或实际事件中的完整的大规模系统的访问,来推进应急信息学和CPS的新兴多学科领域的知识。RESPOND-R将向机构外的研究人员开放,预计在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个教师使用,每年通过课程和论文工作的实地组成部分教育10-20名研究生。RESPOND-R还将利用针对代表性不足群体的举措,培训1 000名应对者和决策者。与使用的仪器一致?风暴追逐者?该仪器将可用于演习和灾难,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。
英文摘要
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.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
RAPID/Collaborative Research: Datasets for Uncrewed Aerial System (UAS) and Remote Responder Performance from Hurricane Ian
SCC-CIVIC-PG Track B: Community-Centric Pre-Disaster Mitigation with Unmanned Aerial and Marine Systems
EAGER: Evidence-Based Model of Adoption of Robotics for Pandemics and Natural Disasters
RAPID/Collaborative Research: Data Collection for Robot-Oriented Disaster Site Modeling at Champlain Towers South Collapse
海外基金