Proactive Water Network Management

主动供水网络管理

• 批准号: 2892123
• 金额: --
• 依托单位: University of Sheffield
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2892123
• 关键词: Proactive; Water; Network; Management

This project is to collect and to analyse new data to estimate independently the accuracy and efficiency of a range sensing technologies in realistic clean water pipe networks that are prone to deterioration and leakages. The student will also study a range of emerging data collection methods and analysis algorithms that can work with minimum human intervention. The student will design and perform new experiments using the Integrated Civil and Infrastructure Research Centre at Sheffield and National Leakage Research and Test Centre run by Northumbrian Water to thoroughly evaluate the capabilities of the emerging technologies to detect structural faults and leaks that are currently hidden. Ultimately, the research will help enable the sustainable delivery of safe clean drinking water through ageing infrastructure. More specifically, the focus of this PhD will be to study how to detect, locate and to characterise leakage and onset of damage in clean water networks using a combination of existing and emerging sensing solutions. The project will explore how these sensing technologies, their combinations and associated data analysis developed to progress up these scales can ultimately enable the proliferation and efficient application of NO DIG technology for buried pipes repair and maintenance.

该项目旨在收集和分析新的数据，以独立评估范围传感技术在容易恶化和泄漏的实际清洁水管道网络中的准确性和效率。学生还将学习一系列新兴的数据收集方法和分析算法，这些方法和算法可以在最少的人为干预下工作。学生将使用谢菲尔德的综合民用和基础设施研究中心和Northumbrian Water运行的国家泄漏研究和测试中心设计和执行新的实验，以彻底评估新兴技术检测结构故障和泄漏的能力。最终，这项研究将有助于通过老化的基础设施可持续地提供安全清洁的饮用水。更具体地说，这个博士学位的重点将是研究如何检测，定位和使用现有和新兴的传感解决方案相结合，在清洁水网络泄漏和损害的发生。该项目将探讨这些传感技术，它们的组合和相关的数据分析如何发展到这些规模，最终能够使NO DIG技术在埋地管道维修和维护中的扩散和有效应用。