Municipal water main infrastructure integrity management techniques

市政给水干线基础设施完整性管理技术

• 批准号: 491323-2015
• 负责人: Dhar, Ashutosh
• 金额: $ 1.75万
• 依托单位: Memorial University of Newfoundland
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 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=618044
• 关键词: Municipal; water; main; infrastructure; integrity

Canadian municipal infrastructure includes more than 112,000 km of drinking water pipelines, representing a significant part of the infrastructure asset. The water mains along with other infrastructure in the municipalities across the country are old and require proactive maintenance to deliver service to the residents economically and safely. The condition assessment of existing infrastructure is a major component for the proactive maintenance. Advanced non-destructive testing methods are being widely used for inspection of buried infrastructure for the condition assessment. However, there are two major challenges with application of the non-destructive testing methods. Firstly, the results from the non-destructive testing require proper interpretation considering different site specific conditions for successful application. Secondly, it is generally not possible to apply the inspection technology to the entire pipeline network at a time. The pipelines in the network require prioritization for optimum utilization of the inspection tool and the resources to ensure that the critical pipe components are recognized in due time. The proposed research addresses these challenges through application to the City of Mount Pearl in the province of Newfoundland and Labrador.The city water mains will be inspected using an acoustic system owned by the City of Mount Pearl. The inspection data will be analysed at Memorial University to develop signal processing parameters under different site conditions. The results of the pipeline inspection along with data on the infrastructure will be used to develop a method that will be useful for the city in prioritizing the pipeline infrastructure for inspection and maintenance. The outcome of the research would potentially be used by other communities in Canada to minimize water main failure incidents and thus make a difference in the lives of Canadians. This will also minimize the recurrent expenditure of the cities associated with water main failures. The trained HQP will disseminate the knowledge, advance the technology, and contribute to Canadian economy through working in the industry and/or academia.

加拿大市政基础设施包括超过11.2万公里的饮用水管道，占基础设施资产的很大一部分。全国各市的自来水总管和其他基础设施都很陈旧，需要进行积极的维护，以经济和安全的方式为居民提供服务。现有基础设施的状态评估是主动维护的重要组成部分。先进的无损检测方法正被广泛应用于地下基础设施的检测，以进行状态评估。然而，无损检测方法的应用面临着两大挑战。首先，无损检测的结果需要考虑到成功应用的不同现场具体条件进行适当的解释。其次，通常不可能一次将检测技术应用于整个管网。网络中的管道需要确定优先顺序，以便最大限度地利用检测工具和资源，以确保在适当的时间识别关键管道部件。这项拟议的研究通过应用于纽芬兰和拉布拉多省的珍珠山市来解决这些挑战。该市的自来水管道将使用珍珠山市拥有的声学系统进行检查。将在纪念大学对检查数据进行分析，以制定不同现场条件下的信号处理参数。管道检查的结果以及有关基础设施的数据将用于制定一种方法，该方法将有助于该市对管道基础设施进行检查和维护的优先顺序。这项研究的结果可能会被加拿大的其他社区用来最大限度地减少自来水管道故障事件，从而改变加拿大人的生活。这也将最大限度地减少与自来水管道故障有关的城市的经常性支出。经过培训的HQP将通过在行业和/或学术界的工作来传播知识，推进技术，并为加拿大经济做出贡献。