SCC-PG Smart Septic Strategies: Data Integration to Manage Hidden Infrastructure Threats to Our Homes and Communities

SCC-PG 智能化粪池策略：通过数据集成管理对我们家庭和社区的隐藏基础设施威胁

• 批准号: 1952183
• 负责人: Brian Bledsoe
• 金额: $ 15万
• 依托单位: University of Georgia Research Foundation Inc
• 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: 2020-10-01 至 2022-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1952183&HistoricalAwards=false
• 关键词: SCC; PG; Smart; Septic; Strategies

Residential systems collect and treat wastewater from home toilets, sinks, baths, and washing appliances and are a key component of the water infrastructure of the United States. Approximately one in four U.S. households relies on septic systems to treat their wastewater. Most of this vast hidden infrastructure is poorly maintained and periodically overloaded by periods of high water use and/or household leaks. Improving the functionality of these systems will lead to significant improvements to public health and environmental quality by reducing the volumes of untreated or under-treated wastewater released into the environment, which in turn will reduce exposures to dangerous pathogens in groundwater and surface waters, improve aquatic ecosystem health by reducing excess nutrient discharges, and avoid economic losses of closed fishing areas and beaches associated with high bacterial levels in the water. The results of this project will ultimately enable the development of smart septic systems, improved infrastructure asset management, and reduced threats to homes, health, water supplies, and the natural environment. This project will be the first to integrate high quality data on household-scale water use and leak patterns from existing smart water meters, in situ sensor measurements of septic system behavior, automated processing of infrared (IR) aerial imagery that can show septic system failure, and continuous monitoring of septic contamination in community streams with water quality sensors to enable smart septic systems, infrastructure asset management, and reduced threats to homes, health, and water supplies. The project will also create innovative data analytics tools that will generate household water usage profile breakdowns for specific fixtures and appliances, and further detect, classify and quantify water leakages and the impact to septic tank failures. The development of these processes and constituent technology will be performed in close collaboration with septic management and regulatory officials as the state, regional, and local level to ensure that the processes and products that result from this research will a meaningful real-world impact on this important and long-neglected issue.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.

住宅系统收集和处理来自家庭厕所、水槽、浴室和洗涤用具的废水，是美国供水基础设施的重要组成部分。大约四分之一的美国家庭依靠化粪池系统来处理废水。这些巨大的隐藏基础设施大多维护不善，并且由于高用水期和/或家庭漏水而定期超载。 改善这些系统的功能将通过减少释放到环境中的未经处理或处理不足的废水量来显着改善公共卫生和环境质量，从而减少地下水和地表水中危险病原体的暴露，通过减少过量营养物排放来改善水生生态系统健康，并避免与水中高细菌水平相关的封闭捕鱼区和海滩的经济损失。该项目的成果最终将促进智能化粪池系统的开发，改善基础设施资产管理，并减少对家庭、健康、供水和自然环境的威胁。 该项目将是第一个集成现有智能水表的家庭用水和泄漏模式的高质量数据、化粪池系统行为的现场传感器测量、可显示化粪池系统故障的红外 (IR) 航空图像的自动处理，以及使用水质传感器持续监测社区溪流中的化粪池污染，以实现智能化粪池系统、基础设施资产管理，并减少对家庭、健康和水的威胁 补给品。该项目还将创建创新的数据分析工具，生成特定固定装置和电器的家庭用水情况细目分类，并进一步检测、分类和量化漏水情况以及对化粪池故障的影响。 这些工艺和组成技术的开发将与州、地区和地方各级化粪池管理和监管官员密切合作，以确保这项研究产生的工艺和产品将对这一重要且长期被忽视的问题产生有意义的现实影响。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。