MsRI-EC- Develop a Research Infrastructure for Intelligent Water Systems

MsRI-EC-开发智能水系统的研究基础设施

• 批准号: 2035032
• 负责人: Zhiyong Ren
• 金额: $ 4.25万
• 依托单位: Princeton University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-07-15 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2035032&HistoricalAwards=false
• 关键词: MsRI; EC; Develop; Research; Infrastructure

The nation’s water utilities collect and store massive amounts of data to ensure reliable and efficient services. Yet, only about 10% of this information is used due to a lack of data sharing as well as limited staff resources and skills. This makes it impossible to apply Big Data tools that have revolutionized other sectors such as energy and transportation. This gap in the national infrastructure provides an opportunity to harness data science to provide real-time prediction, data-driven decision making, and system level optimization. As the nation’s water infrastructure is fragmented amongst many water utilities, there is a need for federal support to jump start the Big Data revolution for drinking water. This workshop will engage stakeholders and lay out a pathway to build a national research cyber infrastructure for intelligent water systems. This will include an online repository platform for storing, sharing, and analyzing data, as well as workforce development for all stakeholders across the water utilization cycle. The workshop will gather a broad range of stakeholders to ensure the cyber infrastructure, once implemented, will be valuable for an array of public and private institutions, and will impact national economic competitiveness and health.This Mid-scale Research Infrastructure Engineering Conference is a first step towards building the nation’s first interoperable cyber infrastructure for intelligent water systems. Workshop participants will identify the needs of the nation’s digital water infrastructure, lay out a pathway to design and implement the infrastructure, organize a highly qualified team to develop a project proposal, and identify best practices for management of mid-scale infrastructure. The conference will gather a broad range of stakeholders and ensure that the proposed cyber infrastructure provides value to private and public institutions. The proposed platform will be developed for sharing data, analytics tools, and workforce development for all stakeholders across the water utilization cycle. With proper design and implementation, the vast empirical data currently being collected by utilities can be converted into tools incorporating machine learning and artificial intelligence to allow a new generation of water professionals to harness data for not only daily operations but continued technology innovation, optimization, and cost reduction. The conference will result in a report with recommendations specific to the nation’s first interoperable cyber infrastructure for intelligent water systems that address critical execution issues around cyber security, data access, data management, and intellectual property.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

美国的水务公司收集和存储大量数据，以确保可靠和高效的服务。然而，由于缺乏数据共享以及有限的人力资源和技能，这些信息只有约10%得到使用。这使得大数据工具无法应用，而这些工具已经彻底改变了能源和交通等其他行业。国家基础设施的这一差距为利用数据科学提供实时预测、数据驱动决策和系统级优化提供了机会。由于国家的水基础设施分散在许多水设施中，因此需要联邦支持来启动饮用水大数据革命。该研讨会将吸引利益相关者参与，并为智能水系统建立国家研究网络基础设施奠定基础。这将包括一个在线存储库平台，用于存储，共享和分析数据，以及为整个水利用周期的所有利益相关者开发劳动力。该研讨会将聚集广泛的利益相关者，以确保网络基础设施一旦实施，将对一系列公共和私人机构有价值，并将影响国家经济竞争力和健康。这次中型研究基础设施工程会议是建立全国首个智能水系统互操作网络基础设施的第一步。研讨会参与者将确定国家数字水基础设施的需求，制定设计和实施基础设施的途径，组织一支高素质的团队制定项目提案，并确定中型基础设施管理的最佳实践。会议将聚集广泛的利益相关者，并确保拟议的网络基础设施为私营和公共机构提供价值。拟议的平台将被开发用于共享数据，分析工具，并为整个水利用周期的所有利益相关者提供劳动力发展。通过适当的设计和实施，公用事业公司目前收集的大量经验数据可以转换为包含机器学习和人工智能的工具，使新一代水务专业人员不仅可以利用数据进行日常运营，还可以持续进行技术创新，优化和降低成本。会议将产生一份报告，其中包含针对美国首个智能水系统互操作网络基础设施的建议，该基础设施解决了网络安全、数据访问、数据管理和知识产权方面的关键执行问题。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。