Traditionally, water utility districts managed underground infrastructure on a haphazard basis. Managers relied on visual occurrences and reports from the public about problems and sent field crew to fix pipeline leaks and ruptures as they happened. The unpredictability of pipeline leaks and failures was costly, and water utility managers had no way of conducting pipeline […]
AI
City of Huntington Park Releases MyHuntingtonPark, a GeoViewer Citizen GIS Application by Nobel Systems
The City of Huntington Park, Calif., released its public reporting application, MyHuntingtonPark, created with Nobel Systems’ GeoViewer Citizen software. The mobile application enables citizens to report problems and other issues to the city via the GeoViewer Mobile software application. GeoViewer Citizen makes it faster and easier for the public to report problems and for the […]
Nobel CTO Aretha Samuel Talks AI and Smart Utility Management
In an interview with Water Online, Nobel Systems Chief Technology Officer Aretha Samuel and Business Development Executive Todd Lushinksy talk about using AI, machine learning, and IoT in water utility management. Despite the strides in technology, many water utilities still require their technicians to come into the office to collect a stack of work orders. […]
Predictive Machine Learning Algorithm Forecasts Potential Water Main Breaks
Nobel Systems has developed a new Predictive Machine Learning algorithm that enables water utilities to forecast the likelihood of pipe leaks and system failures. The breakthrough algorithm allows services to create a preventative pipe replacement plan that will reduce costly ruptures. Nobel IoT Engineer Tanmay Thakur created the new algorithm, which uses artificial intelligence (AI) […]