Leak detection method and system

ES3079238T3Undetermined Publication Date: 2026-09-23SOUTH EAST WATER CORP (100 00)
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Patent Information

Application Number
ES2021931946T
Authority / Receiving Office
ES · ES
Patent Type
Patents
Current Assignee / Owner
Filing Date
2021-12-01
Publication Date
2026-09-23
Estimated Expiration
2041-12-01

AI Technical Summary

Technical Problem

Conventional leak detection methods for pipeline networks, particularly in urban water supply systems, are inefficient, costly, and unable to accurately locate fluid leaks due to their reliance on manual inspection and trial-and-error approaches, and lack continuous monitoring capabilities.

Method used

A system utilizing acoustic and vibration sensors installed throughout the pipeline network, combined with a remote server, processes data to identify and locate fluid leaks by comparing sensor readings against calibrated thresholds, adjusting for environmental factors, and triangulating the source of leakage based on sensor proximity and network configuration.

Benefits of technology

Enables accurate, efficient, and continuous detection and localization of fluid leaks, reducing manual intervention and costs by using data processing to pinpoint the source of leaks in complex underground networks.

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Abstract

A method for detecting and locating fluid leaks in a pipe network using sensors that acquire acoustic or vibration measurements in a specific area of ​​the network. The data recorded by the sensors is transformed from the time domain to the frequency domain. The presence of a leak is determined by comparing, within a predetermined frequency range, the measured frequency values ​​with a predefined threshold for the corresponding frequency. Subsequently, the sum of the measured frequency values ​​within the predetermined frequency range is calculated and associated with the corresponding sensor. The location of the leak is identified by determining the sensor closest to the leak source by comparing the sum of the values ​​associated with the sensors in the pipe network area over a period of time.
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