Optimal parameter selection method for noise reduction algorithm of pressure monitoring data of water supply network

The invention discloses a water supply network pressure monitoring data noise reduction algorithm optimal parameter selection method, and belongs to the field of pipe network hydraulic regulation and control. Comprising the following steps: (1) designing noise reduction performance indexes; (2) grouping the sensors by using a clustering algorithm, and dividing the sensors with strong hydraulic correlation into the same group; and (3) calculating noise reduction performance indexes of the sensors in the same group, determining an optimal noise reduction parameter of each sensor based on the performance of the noise reduction performance indexes, and carrying out noise reduction on the data of each sensor by adopting the optimal noise reduction parameter. The method provides a scientific basis for hydraulic modeling and the like of the water supply network. 本发明公开了一种供水管网压力监测数据降噪算法最优参数选取方法，属于管网水力调控领域。包括如下步骤：(1)设计降噪性能指标；(2)使用聚类算法将对传感器分组，将水力相关性强的传感器分到同一组内；(3)计算同组内传感器的降噪性能指标，基于降噪性能指标表现，确定每一个传感器的最优降噪参数，采用最优降噪参数对各传感器数