Water utilities are facing a massive, invisible problem – over a million miles of pipes that are expected to reach their end of life in the next 30 years. This “pipeaggedon” is estimated to cost $1 trillion.
Current methods for planning water main replacement are either very expensive, inaccurate or both. When replacement decisions are not optimized it can impact operational costs and water quality, resulting in headaches and pain for utilities, cities and tax payers alike.
Water main age and break history are only half the story. Machine learning analyzes large data sets to shed light on what’s really happening with your infrastructure. Fracta uses machine learning and big data to optimize infrastructure investments – starting with a water main pipe replacement prioritization solution for U.S. water utilities. Fracta’s intelligence tool delivers accurate predictions for water main likelihood of failure for the fraction of the cost in a fraction of the time.
What was a subjective, complicated and time consuming process is now streamlined. Fracta improves and optimizes planning in three simple phases:
If your current water main replacement plans rely heavily on break history or pipe age, you are likely replacing pipes that still have decades of useful life left in them. Using a machine learning based solution can drive optimized replacement plans that can save millions by deferring replacement of good water mains.
By focusing on replacing the pipes with the highest likelihood of failure, you can drive down operational costs, prioritize resources and reduce main break rates.