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EAGER: Underground Infrastructure Sensing, Mapping and Modeling for Smart Maintenance, Sustainability and Usage

EAGER: Underground Infrastructure Sensing, Mapping and Modeling for Smart Maintenance, Sustainability and Usage
EAGER:用于智能维护、可持续性和使用的地下基础设施传感、测绘和建模
批准号:
1640687
负责人:
Dryver Huston
金额:
$20.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-09-01 至 2019-08-31

项目摘要

项目成果

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中文摘要
翻译
本项目研究城市地下输水、下水道、电力、煤气、电信和蒸汽管道的新型三维测绘技术。这些基础设施大部分已经老化,状况不明,地点不明。 该研究使用智能城市方法来管理有关城市地下公用设施基础设施的信息,作为美国国家标准局/NIST全球城市团队挑战赛(GCTC)的一部分,在伯灵顿和威诺斯基的相邻城市开展工作。 这是一个小的大都市地区,使研究工作的实施变得容易,但又足以阐明影响扩大到大城市的关键问题。 总的办法是审查传感和信息技术,以确定基础设施的状况,并以适当、及时和安全的方式提供给管理人员、规划人员和用户。 这些传感器包括先进的探地雷达和连接到高速网络的泄漏传感器。信息将流入和流出一个新的3-D实用程序映射和条件数据库。 这些信息将用于以图形格式显示移动的和固定设备,并供城市规划人员和工程师以及维护和施工人员沿着使用。 本研究针对城市地下基础设施的位置和状况进行制图和信息处理。 主要研究目标是:1.城市地下3-D公用设施地图和传感器网络数据库-这将是一个新的系统,集成了建筑信息模型(BIM)和地理信息(GIS)数据库技术; 2。创新的高速层析成像探地雷达(GPR)系统-城市地下基础设施的拥挤性阻碍了对地下特征的成像和评估。该研究将研究先进的多基地和相控阵探地雷达技术,以测量离轴管道的散射和引导雷达波; 3。地下水管道监测传感器系统-传感器网络的设计需要确定如何将声学、压力和流量计量传感器的异构混合配置到高速光纤遥测网络上,以检测、定位和评估淡水供应系统中的泄漏。 原型实验将从声学传感器开始; 4.数字化和自动化分析工具-GPR和传感器网络数据流是多通道、复杂和海量的。 需要自动化数据处理方法进行绘图和条件评估,以及5。现场测试研究-测量效用映射和传感器网络数据库的性能,相关的仪器和分析在伯灵顿和Winooski,VT的相邻城市。
英文摘要
This project researches novel 3-D mapping techniques for the pipes and conduits carrying water, sewer, electricity, gas, telecommunications and steam underneath cities. Much of this infrastructure is aging and in unknown condition with unknown locations. The research uses a smart cities approach to managing information regarding urban underground utility infrastructure, as part of the US Ignite/NIST Global Cities Team Challenge (GCTC), operating in the adjacent cities of Burlington and Winooski. This is a small metropolitan region that enables ease of implementation of research efforts, yet big enough to elucidate key issues affecting scaling up to larger cities. The overall approach examines sensing and information technology to determine the state of infrastructure and provide it in an appropriate, timely and secure format for the managers, planners and users. The sensors include advanced ground penetrating radar and leak sensors connected to a high-speed network. Information will flow to and from a novel 3-D utility mapping and condition database. This information will be of use for presentation in graphical format for mobile and fixed devices, and for use by urban planners and engineers, along with maintenance and construction personnel. This research addresses mapping and information processing of the location and condition of underground urban infrastructure. The primary research objectives are: 1. Urban underground 3-D utility mapping and sensor network database - This will be a novel system that integrates Building Information Modeling (BIM) and Geographical Information (GIS) database techniques; 2. Innovative high-speed tomographic ground penetrating radar (GPR) system - Imaging and assessing buried features is hampered by the congested nature of urban underground infrastructure. The research will examine advanced multi-static and phased array GPR techniques to measure scattering from pipes off-axis and to steer radar waves; 3. Underground water pipe monitoring sensor system - The design of the sensor network requires determining how to configure a heterogeneous mix of acoustic, pressure and flow metering sensors onto a high-speed fiber optic telemetry network, to detect, locate and assess leaks in fresh water supply systems. Prototyping experiments will start with acoustic sensors; 4. Digital and automated analysis tools - The GPR and sensor network data streams are multichannel, complicated and voluminous. Automated data processing methods are required for mapping and condition assessment, and 5. Field test research - Measure the performance of the utility mapping and sensor network database, associated instrumentation and analysis in the adjacent cities of Burlington and Winooski, VT.
期刊论文(11)
专著(0)
科研奖励(0)
会议论文
Buried nonmetallic object detection using bistatic ground penetrating radar with variable antenna elevation angle and height
使用具有可变天线仰角和高度的双基地探地雷达进行埋地非金属物体检测
DOI: 10.1117/12.2260055
发表时间: 2017
期刊: SPIE Proceedings
影响因子: --
作者: [Wu, H. Felix, Gyekenyesi, Andrew L., Shull, Peter J., Yu, Tzu-Yang, Zhang, Yu, Orfeo, Dan, Burns, Dylan, Miller, Jonathan, Huston, Dryver, Xia, Tian]
通讯作者: Xia, Tian
Mapping, Assessing and Monitoring Urban Underground Infrastructure
城市地下基础设施测绘、评估和监测
DOI: --
发表时间: 2017
期刊: 11th International Workshop on Structural Health Monitoring
影响因子: --
作者: [Dryver Huston, Tian Xia]
通讯作者: Dryver Huston, Tian Xia
DOI: 10.1117/12.2519430
发表时间: 2019-05
期刊: Clinical Infectious Diseases: An Official Publication of the Infectious Diseases Society of America
影响因子: --
作者: [M. Pereira;Yu Zhang;D. Huston;Tian Xia]
通讯作者: M. Pereira;Yu Zhang;D. Huston;Tian Xia
DOI: 10.1117/1.jrs.13.027501
发表时间: 2019-04
期刊: Journal of Applied Remote Sensing
影响因子: 1.7
作者: [D. Orfeo;Yu Zhang;D. Burns;Jonathan T. Miller;D. Huston;Tian Xia]
通讯作者: D. Orfeo;Yu Zhang;D. Burns;Jonathan T. Miller;D. Huston;Tian Xia
共 10 条
    US Ignite: Collaborative Research: Focus Area 1: Fiber Network for Smart Mapping, Monitoring and Managing Underground Urban Infrastructure
    REG: Yag Laser and Signal Processor
    Engineering Research Equipment Grant: Multichannel Data Acquisition and Signal Processing
    海外基金