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首页> 外文期刊>Journal of Pipeline Systems Engineering and Practice >Level of Service-Based Asset Management Framework for Water Supply Systems
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Level of Service-Based Asset Management Framework for Water Supply Systems

机译：供水系统基于服务的资产管理框架水平

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Operators of North America's potable water systems are facing numerous challenges in meeting the current needs and future expectations. Even though utility management experts started building customer-driven asset management systems to prioritize the water mains' maintenance and replacement, the gap between the utility experts' and end users' perspectives still exists due to the lack of technical knowledge in terms of assessing the water quality. Therefore, this paper proposes a service-based asset management framework that evaluates the factors associated with the level of service (LOS) of the water supply networks and maps it to the physical condition. In this paper, the LOS for water supply networks is an indicator that measures the ability of a municipality to continuously supply the end users with adequate water quality to ensure fewer customer complaints and higher end-user satisfaction. The framework revolves around three phases: (1) data collection; (2) model implementation, which comprises LOS assessment and LOS and condition mapping models; and (3) results and analysis. To assess the LOS, a questionnaire was designed and analyzed using the best-worst method. Furthermore, an artificial neural network model was developed to map the relationship between the LOS and condition. Water quality, customer complaints, pressure, and continuity of water supply were used as mapping metrics between the LOS and condition. Toward the end, the framework was applied to the water distribution network of Montreal, Canada and it showed promising results in estimating the corresponding LOS from the condition. In addition, a cross-validation was carried out and the results displayed an 0.871 coefficient of determination (R2), which implies a strong existing relationship between the model inputs and outputs. This framework enables the utility experts to understand the customer perception of the service, optimize the budget allocation, and forecast the LOS based on the network condition. (c) 2020 American Society of Civil Engineers.
机译：北美饮用水系统的运营商在满足当前需求和未来期望方面面临着众多挑战。尽管公用事业管理专家开始构建客户驱动的资产管理系统，但优先考虑水管的维护和更换，但效用专家和最终用户的观点之间的差距仍然存在由于缺乏技术知识，从评估水分而缺乏技术知识质量。因此，本文提出了一种基于服务的资产管理框架，评估与供水网络的服务水平（LOS）相关的因素，并将其映射到物理状况。在本文中，供水网络的洛杉矶是一种指标，衡量市政府不断为最终用户提供充足的水质的能力，以确保更少的客户投诉和更高的最终用户满意度。该框架围绕三个阶段：（1）数据收集; （2）模型实现，包括LOS评估和LOS和条件映射模型; （3）结果和分析。为了评估LOS，使用最糟糕的方法设计和分析问卷。此外，开发了一种人工神经网络模型来映射LOS和条件之间的关系。供水的水质，客户投诉，压力和连续性被用作洛杉矶和条件之间的映射度量。朝向尽头，该框架应用于加拿大蒙特利尔的水分配网络，并显示有希望导致估计相应的洛杉矶。此外，进行交叉验证，结果显示了0.871系数（R2），这意味着模型输入和输出之间的强大现有关系。该框架使实用专家能够了解客户的认识，优化预算分配，并根据网络条件预测LOS。 （c）2020年美国土木工程师协会。

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