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CAREER: Cyberinfrastructure for Intelligent Water Supply (CIWS): Shrinking Big Data for Sustainable Urban Water

CAREER: Cyberinfrastructure for Intelligent Water Supply (CIWS): Shrinking Big Data for Sustainable Urban Water
职业:智能供水 (CIWS) 网络基础设施:缩小大数据以实现可持续城市用水
批准号:
1552444
负责人:
Jeffery Horsburgh
金额:
$50.71万
依托单位:
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:
2016-02-01 至 2022-01-31

项目摘要

项目成果

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中文摘要
翻译
1552444(Horsburgh)为了克服使用智能水表作为可持续管理城市供水的有效工具的挑战,正在实施一项名为智能供水网络基础设施(CIWS)的综合研究和教育计划。CIWS将研究新型网络基础设施和分析,以推进智能计量技术,实现居民用水行为的详细描述,并为可持续管理城市供水建立科学数据和知识库。CIWS将实现现有传统“哑”水表的过渡(今天使用的绝大多数水表)转换成低成本(约100美元)的“智能”和具有计算能力的设备,这些设备可以收集高频数据,使用板载处理能力通过提取各个水终端使用的时间和体积来“缩小”收集的数据,然后将可操作的数据产品传输给水管理人员进行分析-所有这些都不需要更换或影响水表的功能。CIWS将能够缩小在理解和量化家庭和水系统一级用水行为的能力方面的关键差距。它还将有助于确定备选水管理战略和节约用水和提高效率的机会。CIWS和相关的居民用水研究提供了一种描述居民用水特征的方法,并产生了关于以下方面的新知识:1)不同社会人口群体和社区类型的用水行为如何变化; 2)用水需求的时间以及供水商如何使用这些信息来确保水的可用性和效率,规划相关的能源需求,并提高客户满意度;以及3)用水者如何在获得关于其用水的详细信息的情况下改变其行为。这些信息对于确定保护机会、预测需求以及确定用水模式如何随着人口增长、人口变化和技术进步而变化至关重要。CIWS将促进对用水行为的理解,智能计量的网络基础设施,以及能够实施智能计量的“精通网络”的专业人员和学生,所有这些都是实现智能计量承诺的关键。将为新一代工程师和科学家提供指导,他们将接受培训并从事研究,使他们能够利用新的网络基础设施。水用户将直接参与数据收集和信息传递。数百名南加州大学的学生将参加校园“水战争”比赛,旨在利用该项目开发的网络基础设施进行水资源保护和可持续发展。洛根市和USU设施将在数据收集的整体合作伙伴。最后,研究生和本科生将参与一个可视化的挑战,使用连续流量数据从住宅水表。这些努力将涉及参与者从代表性不足的群体在本科研究通过有针对性的招聘使用现有的程序在USU。
英文摘要
1552444 (Horsburgh)To overcome challenges in using smart water metering as an effective tool for sustainably managing urban water supplies, an integrated research and education plan called Cyberinfrastructure for Intelligent Water Supply (CIWS) is being implemented. CIWS will investigate novel cyberinfrastructure and analytics to advance smart metering technology, enable detailed characterization of residential water use behavior, and build the scientific data and knowledge base for sustainably managing urban water supplies. CIWS will enable transitioning of existing conventional "dumb" water meters (the vast majority of water meters in use today) into low-cost (~$100) "smart" and computationally-capable devices that can collect high frequency data, use onboard processing capability to "shrink" the collected data by extracting the timing and volume of individual water end uses, and then transmit actionable data products to water managers for analysis - all without replacing or affecting the functionality of the meter. CIWS will be capable of closing critical gaps in understanding of and ability to quantify water use behavior at the household and water system level. It will also enable identification of alternative water management strategies and opportunities for water conservation and increased efficiency. CIWS and associated residential water use studies offer a way to characterize residential water use and generate new knowledge about: 1) how water use behavior varies across socio-demographic groups and neighborhood types; 2) the timing of water demand and how this information can be used by water providers to ensure water availability and efficiency, plan for related energy demand, and improve customer satisfaction; and 3) how water consumers change their behavior given detailed information about their water use. This information is critical in identifying opportunities for conservation, forecasting demand, and determining how water use patterns may change over time in response to population growth, demographic shifts, and technology improvements. CIWS will advance understanding of water use behavior, the cyberinfrastructure for smart metering, and the pool of "cyber-savvy" professionals and students capable of implementing smart metering, all of which are critical for realizing the promises of smart metering. Mentorship will be provided for a new generation of engineers and scientists who will receive training and engage in research that prepares them to leverage new cyberinfrastructure. Water users will be directly engaged in data collection and information transfer. Hundreds of USU students will engage in a campus "Water Wars" competition aimed at water conservation and sustainability using cyberinfrastructure developed by this project. Logan City and USU Facilities will be integral partners in data collection. Finally, graduate and undergraduate students will be engaged in a visualization challenge using continuous flow data from residential water meters. These efforts will involve participants from underrepresented groups in undergraduate research through targeted recruiting using existing programs at USU.
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会议论文
Collaborative Research: Network Hub: Enabling, Supporting, and Communicating Critical Zone Research.
  • 批准号:
    2012748
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $111.81万
  • 财政年份:
    2020
  • 负责人:
    Jeffery Horsburgh
  • 依托单位:
Collaborative Research: Elements: Advancing Data Science and Analytics for Water (DSAW)
  • 批准号:
    1931297
  • 项目类别:
    Standard Grant
  • 资助金额:
    $56.85万
  • 财政年份:
    2019
  • 负责人:
    Jeffery Horsburgh
  • 依托单位:
RAPID: COLLABORATIVE RESEARCH: Building Infrastructure to Prevent Disasters like Hurricane Maria
  • 批准号:
    1810802
  • 项目类别:
    Standard Grant
  • 资助金额:
    $2.14万
  • 财政年份:
    2017
  • 负责人:
    Jeffery Horsburgh
  • 依托单位:
EAGER: Collaborative Research: Interoperability Testbed-Assessing a Layered Architecture for Integration of Existing Capabilities
  • 批准号:
    1239632
  • 项目类别:
    Standard Grant
  • 资助金额:
    $1.8万
  • 财政年份:
    2012
  • 负责人:
    Jeffery Horsburgh
  • 依托单位:
海外基金