SENSORS: Placement and Operation of an Environmental Sensor Network to Facilitate Decision Making Regarding Drinking Water Quality and Security

传感器：环境传感器网络的放置和运行，以促进有关饮用水质量和安全的决策

• 批准号: 0329549
• 负责人: Jeanne VanBriesen
• 金额: --
• 依托单位: Carnegie-Mellon University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-09-01 至 2008-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0329549&HistoricalAwards=false
• 关键词: SENSORS; Placement; Operation; Environmental; Sensor

0329549VanBriesenThis project couples knowledge discovery in large environmental databases with in situ biological and chemical sensor networks to revolutionize drinking water quality and security decision making. Water quality and security data provide a compelling application, with large, real datasets, where data mining and decision-making tools will be designed and tested. It is proposed to produce a distribution and operation protocol for the placement and utilization of in situ environmental sensors by combining (1) new algorithms for spatial-temporal data mining, (2) new methods to model water quality and security dynamics, and (3) a sophisticated decision-analysis framework. This project will be beneficial to Environmental Decision Making (providing cutting-edge database and data-mining technology to enhance environmental science and policy decision making), to Environmental Sensor Development (providing critical feedback on sensitivity and specificity needs), and to Information Management (providing large, real datasets and real queries as well as multiple research challenges related to spatio-temporal patterns and imputed information). Further, the project represents application of these research areas to the critical current issue of ensuring safe and secure drinking water to the population of the United States.

0329549 VanBriesen该项目将大型环境数据库中的知识发现与现场生物和化学传感器网络相结合，以彻底改变饮用水质量和安全决策。水质和安全数据提供了一个令人信服的应用程序，拥有大量真实的数据集，将在其中设计和测试数据挖掘和决策工具。通过结合(1)时空数据挖掘的新算法、(2)水质和安全动态模型的新方法和(3)复杂的决策分析框架，提出了一种用于现场环境传感器的布置和使用的分布和操作协议。该项目将有益于环境决策(提供尖端数据库和数据挖掘技术，以加强环境科学和政策决策)、环境传感器开发(提供关于敏感性和特异性需求的关键反馈)和信息管理(提供大型、真实的数据集和真实的查询，以及与时空模式和推定信息有关的多种研究挑战)。此外，该项目将这些研究领域应用于确保美国人民安全可靠的饮用水这一当前关键问题上。