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Agent-Based Approach to Smart Sensing for Health Monitoring of Civil Infrastructure

Agent-Based Approach to Smart Sensing for Health Monitoring of Civil Infrastructure
基于代理的智能传感方法用于民用基础设施的健康监测
批准号:
0301140
负责人:
Billie Spencer
金额:
$0.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2003
资助国家:
美国
项目状态:
已结题
起止时间:
2003-05-01 至 2007-12-31

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中文摘要
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英文摘要
This investigation seeks to develop a broad foundation for innovative smart sensing and health monitoring concepts utilizing advanced sensing, micro-processing, digital signal processing, wireless communication, and damage diagnostic methods. This work is aimed at providing near real-time structural condition assessment for extreme events (e.g., strong earthquakes), as well as long-term deterioration. The goal is to develop a computational framework that can take full advantage of the continuous and periodic wireless monitoring strategy and that can automatically and reliably detect possible damage locations or deteriorated regions in a structure. Autonomous agents and multi-agent systems represent an important new way of analyzing, designing, and implementing complex distributed computing systems represented by smart sensors. The Mote platform developed at the University of California at Berkeley with funding from the Defense Advanced Research Projects Agency (DARPA) offers, for the first time, an open hardware/ software environment for broad smart sensing research and will be employed as a basis for this research. The comprehensive research plan has four primary tasks: (i) design and construct new high sensitivity acceleration and strain sensors for the Berkeley-Mote platform to facilitate global/local monitoring of civil infrastructure systems, (ii) conceptualize, develop, and implement an agent-based framework for monitoring and damage detection in civil infrastructure systems based on the Berkeley-Mote platform, (iii) develop new structural health monitoring algorithms that can be executed in the smart sensor's distributed computing environment, and (iv) prototype and test developed hardware and software in both the laboratory and field environment. This effort includes a significant US-China collaborative portion with three institutions. Successful completion of this research is expected to accelerate economic and practical implementation of innovative strategies for protecting our respective nations' infrastructure.
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会议论文
Asia-Pacific Summer School on Smart Structures Technology (APSS), China 2011, India 2012, and Korea 2013
EAGER: Bio-Inspired Smart Sensor Networks for Adaptive Emergency Response
Building and Infrastructure Resilience: Strategic Planning for Speedy and Organized Emergency Response, Recovery, and Rebuilding
International Workshop on Advanced Smart Materials and Smart Structures Technology (2009)
国内基金
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