Data Mining Tools to Improve Asset Management for Buried Water and Sewer Pipes

用于改善埋地水和污水管道资产管理的数据挖掘工具

• 批准号: 9318-2013
• 负责人: McBean, Edward
• 金额: $ 1.89万
• 依托单位: University of Guelph
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2016
• 资助国家: 加拿大
• 起止时间: 2016-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=592967
• 关键词: Data; Mining; Tools; Improve; Asset

Due to the passing of time and budgetary challenges, water pipes are breaking at an averate rate of about 100 per day across Canada, and aging sewers are losing their conveyance integrity at increasing rates. While repair, rehabilitation and replacement of components of the infrastructure is feasible, identifying the best actions and prioritizing investment strategies for water and sewer pipes is extremely challenging. The importance of the issue is evident because the City of Toronto alone has a backlog of needs in excess of more than a billion dollars for water and sewer pipes.

由于时间的推移和预算的挑战，加拿大各地的水管平均每天破裂约100条，老化的下水道正在以越来越快的速度失去输送的完整性。虽然修复、恢复和更换基础设施的部件是可行的，但确定最佳行动并确定给水和下水道管道投资战略的优先次序是极具挑战性的。这个问题的重要性是显而易见的，因为仅多伦多一市就积压了超过10亿美元的给水和下水道管道需求。