Towards proactive maintenance of buried infrastructure with cloud-based sensing and predictive analytics
Towards proactive maintenance of buried infrastructure with cloud-based sensing and predictive analytics
批准号:
RGPIN-2017-04408
负责人:
Liu, Zheng
金额:
$1.53万
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
项目状态:
已结题
起止时间:
2017-01-01 至 2018-12-31
中文摘要
地下基础设施的状况,包括供水、废水和雨水网络,对人们的生活质量至关重要,并具有很强的环境、经济和社会影响。最近在加拿大进行的一项市政地下基础设施调查表明,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的税款。公用事业公司主要采用被动的方法来解决这些问题。需要一种基于性能的方法来确定单个水管是否满足所需的服务水平。然而,由于技术和财政限制,这些埋藏资产的绩效管理历来没有得到执行。一个积极的,统一的,系统的方法来维护埋在地下的基础设施将是更有效的和首选。
英文摘要
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.
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