Efficient management of urban drainage system (UDS) is crucial for understanding the operating status of UDS and facilitating urban flood early warning. Establishing an appropriate sensor network is fundamental to achieving cost-effective and sustainable management of UDS. Previous researches have predominantly focused on optimizing sensor placement but have often overlooked the evaluation of sensor network performance. To address this gap, we propose a framework that not only optimizes sensor placement using information theory but also evaluates the performance of sensor networks through matrix completion. After the method was tested in the case study, we found that the information amount provided by the selected nodes and information redundancy among nodes in UDS can both be effectively represented by the information theory approach, and then optimal sensor networks with different numbers of sensors was selected. Furthermore, the matrix completion algorithm successfully evaluated the sensor network's performance in operation status perception and flooding risk assessment. The results indicated that the operation status perception error was 33 %, and the flooding risk assessment accuracy reached 76 % with four sensors. Increasing the sensor count to eight reduced the error to 29 % and improved accuracy to 82 %.Thus, it is evident that the matrix completion algorithm is a rapid and accurate method for evaluating sensor network performance. This study provides a comprehensive framework for sensor network optimization and evaluation, which can greatly facilitate the development of urban flood risk early warning and sustainable management of UDS.

中文翻译：

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一种用于城市排水系统传感器网络优化与评估的新型框架


城市排水系统 （UDS） 的有效管理对于了解 UDS 的运行状态和促进城市洪水预警至关重要。建立适当的传感器网络是实现经济高效且可持续的 UDS 管理的基础。以前的研究主要集中在优化传感器布局上，但往往忽视了传感器网络性能的评估。为了解决这一差距，我们提出了一个框架，该框架不仅使用信息论优化传感器放置，而且还通过矩阵完成评估传感器网络的性能。在案例研究中对该方法进行了测试后，我们发现 UDS 中所选节点提供的信息量和节点之间的信息冗余都可以用信息论方法有效表示，然后选择具有不同传感器数量的最优传感器网络。此外，矩阵完成算法成功评估了传感器网络在运行状态感知和洪水风险评估方面的性能。结果表明，4 个传感器的运行状态感知误差为 33 %，洪水风险评估准确率达到 76 %。将传感器数量增加到 8 个，误差降低到 29%，精度提高到 82%。因此，很明显，矩阵完成算法是评估传感器网络性能的一种快速而准确的方法。本研究为传感器网络优化和评估提供了一个全面的框架，可以极大地促进城市洪水风险预警和 UDS 可持续管理的发展。