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Case Study

AI-Powered Leak Detection in Chicago

FIDO and City of Highland Park Case Study

 

AUTHOR

Related Topics

Leak Detection

AI

The City of Highland Park is a water utility located in northern Chicago with leakage rates fairly typical of an older 180-mile network of largely cast-iron pipelines, many over 100 years old.

THE CHALLENGE

High water production costs mean that leakage hits the bottom line, but like many utilities Highland Park does not have a dedicated leak resource. Two distribution technicians carry out reactive investigations using correlators and ground microphones. Leak control is made even more challenging by a relative lack of assets for fixed network monitors and a lack of district metering.

The utility wanted to trial the use of FIDO AI technology to both detect and locate non-surfacing leaks in an area of suspected high water loss.

THE SOLUTION

The engineers were equipped with Leak Locate powered by FIDO AI, an AI-enabled solution encompassing versatile low-cost mini sensors and an intuitive smartphone app. The app communicates with the sensors and FIDO AI in the cloud.

After minimal training, the technicians deployed the small magnetic sensors as overnight loggers on distribution network valves, hydrant isolation valves and customer meter pits.

After data collection the next day, FIDO AI instantly returned leak results, ranked by size, into the app and portal dashboard.

RESULTS

By using sensors as mobile loggers over a wide area, in the first two months of use the team proactively identified and located 19 non-visible leaks which would otherwise not have been found.

The estimated saving in water production costs from these initial leaks alone more than covered the cost of the Leak Locate equipment.

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