More than 40,000 communication modules and 10,000 leak sensors are being deployed
The Texas city of Waco is installing Itron’s OpenWay Riva IoT solution to reduce water loss and improve water delivery for nearly 45,000 customers. The solution includes smart water communication modules and leak sensors.
The city will also take advantage of Itron Analytics, a software-as-a-service offering that collects and analyses data within the distribution network to improve operational awareness.
To upgrade its water metering infrastructure and improve operational efficiency, more than 45,000 communication modules and 12,000 leak sensors will be deployed. With an open, standards-based network, the city’s utility will improve efficiency and reduce water loss by gaining access to high resolution consumption data and insights that will enable personnel to pinpoint and address problems quickly.
The analytics will enable the utility to protect revenue, prevent theft and improve leak detection. The solution will also enhance customer service with more accurate bills and tools to proactively investigate and resolve billing complaints.
“We will also be equipped to reduce water loss by proactively identifying and fixing leaks in our distribution system with Itron’s automated leak detection solution”
“By upgrading our water meters and leveraging Itron endpoints and leak sensors, we will improve our operations and most importantly, better serve our customers,” said Jonathan Echols, public relations coordinator, City of Waco. “With Itron’s network infrastructure, we will also be equipped to reduce water loss by proactively identifying and fixing leaks in our distribution system with Itron’s automated leak detection solution.”
The city will be equipped to obtain hourly information about its water distribution, explained Sharelynn Moore, senior vice president of networked solutions at Itron: “As one of the largest deployments of our newest OpenWay Riva solution for water, this partnership demonstrates our commitment to conservation, operational efficiency and leveraging the power of data for water utilities.”
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