Localization of Leaks in Water Distribution Networks

供水管网泄漏的定位

• 批准号: 570407-2021
• 负责人: Cascante, Giovanni
• 金额: $ 2.19万
• 依托单位: University of Waterloo
• 依托单位国家: 加拿大
• 项目类别: Alliance Grants
• 财政年份: 2021
• 资助国家: 加拿大
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=722445
• 关键词: Localization; Leaks; Water; Distribution; Networks

It is widely believed that nearly a third of drinking water is lost between treatment and delivery in urban cities in North America. This results in the loss of a valuable natural resource and wasted energy from operations involving storage, treatment, and delivery. This is particularly concerning when millions around the world lack access to clean drinking water. Developments in artificial intelligence (AI) and advanced probabilistic signal processing techniques show significant potential in addressing water loss, specifically in timely detection and localization of leaks that otherwise could run indefinitely without being detected using conventional methods. Our industrial partner has invested in a patented monitoring system which can be installed on fire hydrants to detect and locate leaks, year-round even in cold climates. However, the decision-support tools are limited to leak detection, with the crucial leak localization aspect yet to be developed. This project aims to bring latest developments in AI and probabilistic modelling to accurately localize (pinpoint) leaks in complex water distribution systems. Through this partnership, new algorithms and processes for leak localization will be developed and validated by the academic team using laboratory and field data and then translated to real-world complex operational environments. This work will lead to advanced leak localization ability, which will assist utilities in timely detection and repair of leaky water mains, thus minimizing the loss of a valuable resource. As well, trainees will also gain practical skills in probabilistic modelling, AI, and signal processing which are in high demand in Canada.

人们普遍认为，北美城市城市的治疗和分娩之间损失了近三分之一的饮用水。这导致损失了宝贵的自然资源，并浪费了涉及存储，治疗和交付的操作的能量。这尤其令人担忧的是，当世界各地的数百万人无法获得清洁饮用水时。人工智能（AI）和先进的概率信号处理技术的发展在解决水分流失方面具有巨大的潜力，特别是在及时检测和定位泄漏方面，这些泄漏可能无限期地运行而无需使用常规方法检测。我们的工业合作伙伴已经投资了专利的监测系统，该系统可以安装在消防栓上以检测和定位泄漏，即使在寒冷的气候下，全年也是如此。但是，决策支持工具仅限于泄漏检测，而至关重要的泄漏定位方面尚待开发。该项目旨在将AI和概率建模中的最新发展带入精确定位（精确）在复杂的水分配系统中。通过这种伙伴关系，将使用实验室和现场数据来开发和验证新的泄漏本地化算法和流程，然后转换为现实世界中的复杂操作环境。这项工作将导致高级泄漏定位能力，这将有助于公用事业及时检测和修复泄漏的水管，从而最大程度地减少了宝贵资源的损失。同样，学员还将在加拿大需求量很高的概率建模，AI和信号处理方面获得实践技能。