Fast. Accurate. Affordable.
Let Fracta help.
Condition assessments are not the only area benefiting from Artificial Intelligence. There have also been incredible advances in leak detection. Today, Artificial Intelligence is helping pinpoint where to monitor for leaks, greatly reducing time and money trying to find the proverbial needle in a haystack.
Fracta can complete a LOF assessment of an entire water main distribution system in 4-8 weeks. The results are delivered in a Software as a Solution (SaaS) system and visualized using dynamic graphs and charts. New data can be uploaded and modeled several times per year enabling a dynamic, near real time assessment of the water mains.
Optimizing Pipe Replacement:
If it isn’t broke, don’t replace it.
In many cases, utilities are conditioned to replace the oldest pipes in their system. Studies have shown that anywhere from 30-40% of replaced pipe has useful remaining life. By better identifying the most vulnerable pipe, Fracta can help utilities effectively reallocate 30-40% percent of its annual replacement budget.
Replacing guesswork with fact work.
Along with our industry partners, it’s now possible to implement a cost containment strategy that includes Fracta repair and replacement assessments along with leak detection assessments.
AI-Machine Learning can simultaneously process thousands of data points in real-time, speeding up detection of leaks. It works by combining data collected from real-time sensors in the distribution network, such as pressure and flow sensors, and using complex algorithms to determine the presence and location of leaks.
Fracta AI-Machine Learning can be used to:
Collect. Organize. Apply.
Fracta is a supervised Artificial Intelligence model available to all U.S. water utilities as a subscription software solution. Condition assessment results are achieved in three steps:
The quantity and quality of the data is important. We have developed a software-led approach to data cleaning and normalizing to help with the challenge of using real-life data that may vary in quality.
At the end of the process (just 4-8 weeks), Fracta provides objective predictions. Equipped with the LOF prediction and the consequence of failure risk, utilities and their consulting engineers can now focus their attention on risk mitigation strategies.
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of your current data set:
"It is important to not simply use shortcuts such as age or break history as prime factors in LOF determination, but to consider multiple different variables and predictive approaches."- Irene A. Onyeneho, PhD, Machine Learning Engineer