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 […]
artificial intelligence
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) […]