kwr_smart_water
Water flow data key to pinpointing change
Author: Peter van Thienen, Jan Vreeburg, Henk de Kater
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Abstract: 

Monitoring district metered area (DMA) inflow data provides information about changes in demand and leakage. Traditionally, night flow data is considered the most informative for leakage detection.With the introduction of the Comparison of Flow Pattern Distributions (CFPD) method, data from a whole 24-hour period can be used in a more general, simpler, and broader way. This data-driven method identifies and quantifies distinct types of changes in the flow data, which can be attributed to specific mechanisms. These include potentially important issues such as new leakage, unregistered changes in valve status, or significant changes in demand patterns of major (industrial) customers.The method has been successfully applied in several projects at Dutch water companies.