Finding Water Leaks with Fire Hydrant Hydrophones

Finding Water Leaks with Fire Hydrant Hydrophones

Finding Water Leaks with Fire Hydrant Hydrophones

Access to clean drinking water is essential for healthy communities, but delivering that water is growing increasingly difficult for many utilities.

Corroding pipes and land shifts in aging water distribution networks can create frequent leaks, wasting water before it ever gets to the tap. Utilities in the U.S. lose about 6 billion gallons of water a day — enough to fill 9,000 swimming pools — due to leaks, in addition to wasted energy and resources spent in collecting and treating that water.

Pranav Agrawal and Sriram Narasimhan from the University of California, Los Angeles will discuss an innovative acoustic solution to identify and track leaks in water distribution networks in their talk, “Maximum likelihood estimation for leak localization in water distribution networks using in-pipe acoustic sensing.” The presentation took place May 11, as part of the 184th Meeting of the Acoustical Society of America.

Detecting a leak in a single straight pipe is not a challenge, but large urban networks can be a grid of hundreds or thousands of pipes, and precisely locating a leak is no easy task. Acoustic monitoring is the go-to solution, as the sounds from leaks are unique and travel far in water, but even this method struggles in complex pipe networks.

“Localization of the leak is complex as it involves factors like hydrophone density, the frequency bandwidth of the leak sound, and material properties of the pipe,” said Agrawal. “It is impractical to have highly dense sensing that can localize leaks at any location in the network.”

To tackle the problem, the researchers developed algorithms that operate on acoustic signals collected via hydrophones mounted on the most accessible parts of the pipe network: fire hydrants.

Credit: Pranav Agrawal An overview of the methodology utilized for leak identification consisting of collecting acoustic data, extracting relevant features, and employing advanced machine learning and probabilistic models for leak detection and localization.
An overview of the methodology utilized for leak identification consisting of collecting acoustic data, extracting relevant features, and employing advanced machine learning and probabilistic models for leak detection and localization. Credit: Pranav Agrawal.

“We have developed algorithms which operate on acoustic data collected from state-of-the-art monitoring devices mounted on fire hydrants and ‘listen’ to the sound produced by leaks inside the water column,” said Agrawal. “This device is now commercially available through Digital Water Solutions and has been deployed in various locations in Canada and the U.S., including in ongoing demonstration trials at the Naval Facilities Engineering and Expeditionary Warfare Center, Ventura County in California.”  

Attaching their sensors to fire hydrants means the team can avoid costly excavation and reposition the devices as needed. Combined with novel probabilistic and machine-learning techniques to analyse the signals and pinpoint leaks, this technology could support water conservation efforts, especially in the Western U.S, where this is direly needed.

*Reference in this release to the U.S. Navy Facilities Engineering and Expeditionary Warfare Center (NAVFAC-EXWC) does not imply endorsement of an individual contractor or solution by NAVFAC-EXWC, the U.S. Navy, or the U.S. Department of Defense.

Post source : Acoustical Society of America

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Anthony has worked in the construction industry for many years and looks forward to bringing you news and stories on the highways industry from all over the world.

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