Proactively Predicting Water Pipe Failure Using Artificial Intelligence

Utilities grapple with the daunting task of allocating capital investment and operational resources effectively for pipe replacement, rehabilitation, and monitoring. Each year, significant funds are spent replacing water mains still in good condition, while the frequency of main failures rises due to the lack of precise tools for identifying impending failures. Enter artificial intelligence, particularly machine learning (AI/ML), offering utilities a revolutionary approach to predict water main failures and optimize resource utilization. Cutting-edge AI/ML platforms harness a data-driven methodology, analyzing past failures alongside numerous variables such as soil composition and weather patterns to discern patterns and forecast potential failures. Armed with this predictive capability, utilities can strategically allocate resources, mitigating main failures, enhancing customer service, and maximizing the value extracted from constrained capital budgets. Discover how utilities can now leverage AI and predictive modeling for effective pipe failure prediction.