Towards proactive maintenance of buried infrastructure with cloud-based sensing and predictive analytics

通过基于云的传感和预测分析来主动维护埋地基础设施

• 批准号: RGPIN-2017-04408
• 负责人: Liu, Zheng
• 金额: $ 1.53万
• 依托单位: University of British Columbia
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=636400
• 关键词: Towards; proactive; maintenance; buried; infrastructure

The condition of buried infrastructure including water, wastewater, and storm water networks is of great importance to people’s quality of life and has strong environmental, economic and social implications. A recent municipal buried infrastructure survey across Canada identified water pollution, safety and state of water supply systems as the greatest issues to this country. City water leaks are wasting millions of tax dollars. Utilities are addressing these issues primarily with a reactive approach. A performance-based approach is needed to identify if individual water pipelines meet the required level of service. However, performance-based management of these buried assets has historically not been performed due to technical and financial limitations. A proactive, uniform, and systematic approach for maintenance of buried infrastructure would be more efficient and preferred.

包括供水、废水和雨水管网在内的埋地基础设施的状况对人们的生活质量至关重要，并具有强烈​​的环境、经济和社会影响。最近加拿大各地的市政埋地基础设施调查发现，水污染、安全和供水系统状况是该国面临的最大问题。城市漏水浪费了数百万美元的税收。公用事业公司主要采用反应性方法来解决这些问题。需要采用基于性能的方法来确定各个供水管道是否满足所需的服务水平。然而，由于技术和财务限制，历史上并未对这些埋藏资产进行基于绩效的管理。采用主动、统一和系统的方法来维护埋地基础设施将更加有效，也是首选。