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Case Study: City of South Bend, Indiana

Intelligent Urban Watershed™ technology reduces combined sewer overflow (cso) volume by over 70% and saves South Bend estimated $500 million in capital project work

Prior to 2008, virtually every time it rained heavily, the City of South Bend faced sewer overflows into the landmark Saint Joseph River because the City`s aging sewer system could not handle the excess discharge, an average of some 1-2 billion gallons annually.

Turning to Xylem for help, the City installed and commissioned BLU-X, a distributed real-time decision support system (RT-DSS) consisting of smart sensors and actuators that trade available conveyance capacity in real time, like an underground stock market, to avoid flooding.

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Brochure: Harness The Power of Decision Intelligence
Brochure: Harness The Power of Decision Intelligence

Leverage the power of data to inform better system-level decisions today, while planning future outcomes for operations, maintenance, and capital planning.

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Case Study: Over $1 Million in Recoverable Revenue Identified
Case Study: Over $1 Million in Recoverable Revenue Identified

Clayton County, GA embraced a data-driven approach to quantify water balance and understand their apparent water losses issues through analysis of their entire metering operation.  

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Comprehensive Condition Assessment Reduces Risk on Critical Water Main
Comprehensive Condition Assessment Reduces Risk on Critical Water Main

After an uncontrolled leak affected one-third of their customers, Flower Mound, TX embarked on an asset management program to make more informed decisions and improve the reliability of service.

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