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Data science helps to map 2,300 miles of pipeline

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Global water technology company Xylem has helped get a clearer picture of 2,340 miles of pipelines - some of which are more than 100 years old.
Raleigh Water was keen to predict parts of the pipe network that might fail and the work helped pin-pointed maintenance issues.
Combining Xylem sensors and advanced risk analytics with Esri location intelligence software, Raleigh Water achieved a far more accurate, predictive, and targeted view of its potential trouble spots.
Deciding which water mains to replace took 75% less time than in the past, while also reducing unnecessary capital costs and water loss from pipe failures.
“Based on what we’ve seen with Xylem’s predictive modeling services, we are confident that replacing these mains is the best bang for the buck,” said Adam Haggerty, asset manager for Raleigh Water.
“This is a game changer for us, and it is something we will be able to use for a wide variety of applications.
“It’s a huge challenge to manage risk in a big pipe network, said Rocio Echeverria, vice president and general manager at Xylem.
“You have to predict failure in an asset you can’t see, knowing the pieces were built at different times in different ways.
"Get it wrong and you replace some pipes prematurely, while leaving higher-risk parts of the network in place. So, getting it right with advanced risk analytics gives the utility more confidence, saves the community money, and enables you to dig only when you have to.”