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，在北美城市中，近三分之一的饮用水在处理和输送过程中流失了。这会导致宝贵的自然资源的损失以及存储、处理和运输等操作中的能源浪费。当世界各地数百万人无法获得清洁饮用水时，这一点尤其令人担忧。人工智能 (AI) 和先进的概率信号处理技术的发展在解决水损失方面显示出巨大的潜力，特别是在及时检测和定位泄漏方面，否则这些泄漏可能会无限期地发生而无法使用传统方法检测到。我们的工业合作伙伴投资了专利监控系统，该系统可以安装在消防栓上，即使在寒冷气候下也能全年检测和定位泄漏。然而，决策支持工具仅限于泄漏检测，关键的泄漏定位方面尚未开发。该项目旨在引入人工智能和概率建模的最新发展，以准确定位（查明）复杂配水系统中的泄漏。通过这种合作关系，学术团队将使用实验室和现场数据开发和验证泄漏定位的新算法和流程，然后转化为现实世界的复杂操作环境。这项工作将带来先进的泄漏定位能力，这将有助于公用事业公司及时检测和修复泄漏的水管，从而最大限度地减少宝贵资源的损失。此外，学员还将获得加拿大急需的概率建模、人工智能和信号处理方面的实用技能。