초록

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Abstract ▼ AI-Helper

The detection of leakage and bursts on the city water supply system can prevent direct water losses and ground subsidence, due to leaked waters causing soil saturation. The real time model for leakage detection was developed considering control for manager and data collection of district metered are...

The detection of leakage and bursts on the city water supply system can prevent direct water losses and ground subsidence, due to leaked waters causing soil saturation. The real time model for leakage detection was developed considering control for manager and data collection of district metered area for the operation. This system cannot detect abnormalities in the pipe network based only from the time series data, measured by the flowmeter. This study developed an algorithm for the variable measurement interval and abnormal measurements. The algorithm utilizes residual calculation by data filtering from the discharge data set obtained from small and medium-sized district metered areas. This developed algorithm was applied in a virtual sine wave flow and real time discharge data series of a district metered area, Jeongeup city. The application results presented in this study does not just include the accuracy maintenance of leakage detection but also includes the reduction number of data set. Based from these results, the water losses and ground subsidence, due to water leaks and burst pipelines, in cities can be significantly reduced if this methodology is applied on an existing water distribution network.

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