Olea Edge Analytics Unveils Real-Time Water Utility Meter Management Platform for Cities to Optimize Revenue

Jun 10, 2020

Olea Edge Analytics, an intelligent edge computing platform for the water utility industry, announced a program for cities to optimize revenues associated with water meter inaccuracy. The program includes a comprehensive survey, installation and access to the Olea Edge Analytics user-interface for real-time monitoring.

As cities across the country are staring at crippling budget shortfalls from the economic shockwaves caused by the COVID-19 pandemic, water utility accuracy can be a significant driver to bridge the revenue gap. New York City believes it will lose $7.4 billion in tax revenue in the next two fiscal years, while Los Angeles is predicting losses between $425 and $820 million in the same period.

Beyond taxes, cities make money in three principal ways: airports, events and water. Two of those methods will be sharply curtailed for months. But water bills can generate revenue right away, assuming that the system is working correctly. Unfortunately, more than 10% of municipal water revenue is lost annually due to inaccurate meters and other losses.

Water Utility Lost Revenues Can Bridge the Gap of Budget Shortfalls Across U.S. Cities

Olea Edge Analytics combines cloud, edge computers, sensors and artificial intelligence software to identify how and why a meter is inaccurate, then recommends a fix. A $300 repair could mean tens of thousands of dollars in monthly income.

“Commercial water meters can lose accuracy by more than 10% per year. If you can find this loss quickly you can capture a huge amount of revenue,” said Dave Mackie, Olea Edge Analytics’ founder and CEO. “Now more than ever, it is important for cities to recover as much revenue as they can. Every nickel saved is necessary for the health of cities and their communities.”

Commercial water meters track millions of gallons per month, often as part of an aging infrastructure that includes leaky pipes and water main breaks. Without reliable insight into where the problems lie, cities cannot capture revenue opportunities in the system.

Partnership with Google Powers Olea’s Platform to Monitor the Future of Water

Olea’s platform combines visual, rotational and vibrational sensors at the meter. A camera reads the meter's dial, a vibration sensor feels the water flow in the meter and pipe and a rotational sensor tracks the meter’s rotation. AI and machine-learning algorithms process gigabytes of data at the edge in unpowered and harsh environments.

Smart data and alerts travel via cellular communications to Google’s cloud computing platform and a single solar-powered battery powers the entire edge computing setup.

“It’s really the future of water. They turn analog meters into digital meters with built-in analytics,” said Gary Wong, Chairman for North America at SWAN (Smart Water Networks Forum) and an expert in water and environmental management. “Olea Edge Analytics lets cities instantly measure under-billing from meters that may have been under-charging companies in the past.”

As Olea pinpoints where cities are losing out on water billing revenue, water providers can begin to see an immediate ROI with prioritized meter maintenance recommendations. Past projects have generated more than a 10% revenue increase and avoided the administrative hassles of raising rates or changing the monthly billing structure.

About Olea Edge Analytics
Olea’s proven technology empowers utilities to optimize water delivery, billing and conservation so cities can generate millions more in revenue. Committed to helping water utilities combat aging infrastructure, meet greater demand and limit rate increases, Olea's patented solution combines IoT and edge computing capabilities to bring transparency, accuracy and reliability to the delivery of the world’s most precious resource.

Contact

Olea Edge Analytics

Michael Kellner

1100 San Augustine Dr

Texas 78738 Austin

United States

Phone:

+1 844 653 2638

E-Mail:

oleaedgeanalytics@treblepr.com

Internet:

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