Collecting and managing high temporal resolution residential water use data is challenging due to cost and technical requirements associated with the volume and velocity of data collected. We developed an open-source, modular, generalized architecture called Cyberinfrastructure for Intelligent Water Supply (CIWS) to automate the process from data collection to analysis and presentation of high temporal residential water use data. A prototype implementation was built using existing open-source technologies, including smart meters, databases, and services. Two case studies were selected to test functionalities of CIWS, including push and pull data models within single family and multi-unit residential contexts, respectively. CIWS was tested for scalability and performance within our design constraints and proved to be effective within both case studies. All CIWS elements and the case study data described are freely available for re-use.

由于与收集的数据量和速度相关的成本和技术要求，收集和管理高时间分辨率住宅用水数据具有挑战性。我们开发了一个开源的、模块化的、通用的架构，称为智能供水网络基础设施 (CIWS)，以自动化从数据收集到分析和呈现高时间住宅用水数据的过程。原型实现是使用现有的开源技术构建的，包括智能电表、数据库和服务。选择了两个案例研究来测试 CIWS 的功能，分别包括单个家庭和多单元住宅环境中的推和拉数据模型。CIWS 在我们的设计限制范围内进行了可扩展性和性能测试，并在两个案例研究中证明是有效的。所有 CIWS 要素和所描述的案例研究数据均可免费重复使用。