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Wireless Sensor Networks for Detection of Damage in Water Supply System

Wireless Sensor Networks for Detection of Damage in Water Supply System
用于检测供水系统损坏的无线传感器网络
批准号:
0826639
负责人:
Masanobu Shinozuka
金额:
$7.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2008
资助国家:
美国
项目状态:
已结题
起止时间:
2008-09-01 至 2010-08-31

项目摘要

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中文摘要
翻译
0826639 Masanobu Shinozuka加州大学欧文分校本研究的目的是开发一种基于传感器的城市供水系统实时监测技术。快速检测自然和人为灾害造成的损害,可以有效地做出应急反应,最大限度地减少人员伤亡、财产损失和社会混乱。利用服务于加州的威斯敏斯特市(CW)的网络作为试验台,将开发用于识别管道损坏的方法,并将进行现场验证试验。该监测系统主要由先进的节能无线传感器网络开发的加州大学欧文分校(UCI)。将执行以下任务:(1)开发适用于水管应用的低成本和高能效传感器网络,以及(2)通过利用其计划的维护事件(如阀门打开/关闭和排水(模拟管道损坏)),在CW供水网络上对网络进行现场测试。 这个项目的成功将来自PI,M。Shinozuka,在生命线地震工程和合作PI方面经验丰富,P. Chou带来了他在先进的节能无线网络开发方面的专业知识,包括DuraNodes和Eco MEMS传感器。 与CW的合作将在验证所提出的方法在真实的世界中发挥重要作用。
英文摘要
0826639Masanobu ShinozukaUniversity of California, IrvineThe purpose of this research is to develop a sensor-based real-time monitoring technology for urban water supply systems. Rapid detection of damage caused by natural and manmade hazards enables an effective emergency response minimizing human casualties, property losses, and societal disruption. Using the network serving the City of Westminster (CW), California as a testbed, a method for identification of pipe damage will be developed and field tests for verification will be carried out. The monitoring system consists primarily of advanced power-efficient wireless sensor networks developed at the University of California, Irvine (UCI). The following tasks will be performed; (1) develop a low-cost and power-efficient sensor network suited for water pipeline applications, and (2) field-test the network at the CW water network by taking advantage of their scheduled maintenance events such as valve opening/closure and water discharge (as simulated pipe damage). Success of this project will be derived from synergistic interdisciplinary effort by PI, M. Shinozuka, experienced in lifeline earthquake engineering and Co-PI, P. Chou bringing his developmental expertise on advanced power-efficient wireless network including DuraNodes and Eco MEMS sensors. The partnership with CW will play an important role in validating the proposed method in real world.
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Bayesian Based Strategies for Inspection And Maintenance to Optimize Structural Life-Cycle Performance
  • 批准号:
    1354194
  • 项目类别:
    Standard Grant
  • 资助金额:
    $21.59万
  • 财政年份:
    2013
  • 负责人:
    Masanobu Shinozuka
  • 依托单位:
Bayesian Based Strategies for Inspection And Maintenance to Optimize Structural Life-Cycle Performance
  • 批准号:
    1233714
  • 项目类别:
    Standard Grant
  • 资助金额:
    $25.0万
  • 财政年份:
    2012
  • 负责人:
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  • 依托单位:
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    0509018
  • 项目类别:
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  • 资助金额:
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  • 财政年份:
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  • 负责人:
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  • 依托单位:
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  • 批准号:
    0352014
  • 项目类别:
    Standard Grant
  • 资助金额:
    $0.0万
  • 财政年份:
    2004
  • 负责人:
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  • 批准号:
    30930020
  • 项目类别:
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  • 资助金额:
    170.0万元
  • 批准年份:
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  • 负责人:
    郑晓峰
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基于sensor agent的营养液组分动态测量与建模研究
  • 批准号:
    60775014
  • 项目类别:
    面上项目
  • 资助金额:
    28.0万元
  • 批准年份:
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  • 负责人:
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