SGER: Water Security Networks: Sensors and Control

SGER：水安全网络：传感器和控制

• 批准号: 0406154
• 负责人: Urmila Diwekar
• 金额: $ 10万
• 依托单位: University of Illinois at Chicago
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-01-01 至 2004-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0406154&HistoricalAwards=false
• 关键词: SGER; Water; Security; Networks; Sensors

ResearchThe pollution of water can negatively affect the use of water for drinking, household needs, recreation, fishing, transportation and commerce. The events of 9/11 have redefined the concept of risk and uncertainty, and water security is of national importance. In order to prepare for catastrophic events, water utilities need to detect and minimize the risk of malicious water contamination in distributed water networks. Integration of adequate numbers of sensors at appropriate places in water distribution networks can provide an early detection system where appropriate control measures can be taken to minimize the risk. The focus of this project is to include estimates of risk, uncertainties in the problems of finding optimal sensor placement and quality control of water networks.The problem will be posed as a two-stage mixed integer stochastic programming problem. Customized and efficient algorithms will be developed in order to address real world problems. The methodology will be assessed for applicability to large scale problems related to water security and its possible extension to other infrastructure security problems.Broad ImpactBesides the obvious importance to homeland security, the project will also benefit women as the PI plans to target them for participation in the research. The PI is a faculty advisor for the Society of Women Engineers (SWE) and a mentor in the Women in Science and Engineering (WISE) program.

水污染会对饮用水、家庭用水、娱乐用水、渔业用水、交通用水和商业用水产生负面影响。 9/11事件重新定义了风险和不确定性的概念，水安全具有国家重要性。 为了应对灾难性事件，水务公司需要检测并最大限度地降低分布式供水网络中恶意水污染的风险。 在配水网络的适当位置集成足够数量的传感器可以提供一个早期检测系统，可以采取适当的控制措施，以尽量减少风险。 本计画的重点是包含风险评估、不确定性、最佳感测器配置与水网路品质控制等问题，并将其视为两阶段混合整数随机规划问题。 为了解决真实的世界问题，将开发定制的高效算法。 将评估该方法是否适用于与水安全有关的大规模问题，以及是否可能扩展到其他基础设施安全问题。广泛影响除了对国土安全的明显重要性外，该项目还将使妇女受益，因为PI计划将妇女作为参与研究的目标。 PI是女性工程师协会（SWE）的教师顾问，也是女性科学与工程（WISE）计划的导师。