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Fracta
Bringing Artificial Intelligence and Machine Learning to Water Mains
Condition Assessment
September 12, 2022
Ömer Tekin – Data Scientist Lead (EU)
1
2
Fracta – 3-Step Implementation Process
Break prediction mapping
and visualization
3
Analysis using Fracta’s ML
including all pipe, break,
environmental and proprietary data
2
Collect pipe asset & failure
data from utility*
1
Cleansing and rectifying data is done automatically by Fracta
LoF determines the statistical
probability that a water main will
fail, leveraging existing data with
hundreds of variables.
3
Fracta Features
CoF determines the
consequences, or severity, of the
water main failure and quantifies
the direct and indirect costs of
those failures.
Job Planner is the perfect tool for
modelling the maintenance and
operation costs on a specific area
of the water network.
Job Planner allows to schedule
and follow-up the repairs as a
project management tool.
Likelihood of Failure (LoF) Consequence of Failure (CoF) Job Planner
High LoF = High breaking probability High CoF = High € to replace
Total Risk combines LoF and COF
to determine if a pipe is worth
replacing.
High TR = High BP or €
Total Risk
Smart and digital solution which
brings new value by predicting
and preventing disruptive water
leakages or network breaks in the
water distribution
Pipe Asset Data & Break history
4
Differences of Fracta AI Technology
Fracta AI Technology
Satellite-based Technology
Fracta solution provides higher accuracy and useful predictions to plan ahead.
<10 geospatial factors
• Slope
• Soil pH
• Soil clay content
• Max lift
• Vegetation
• Soil sand
• Soil organic carbon
150 geographical
factors
Pipe Asset Data
& Break history
Global Machine
learning data base
(experience on more than
300,000 km pipe length)
Satellite image
Pipe Asset Data
& Break history
Easy and Flexible
5
Advantages of Fracta
Constant Improvement
Fast
• No hardware need
• Accept any format of
pipes and break history
data
• Results come in after
few hours
• Results can be updated
whenever desired
• New features
improvements regularly
• AI & ML make the
results accurate
Fracta assesses the condition and risk of water mains and determines which pipes to
replace (and which to not replace).
Optimize CapEx
6
Benefits of Fracta
Over 80 water utilities have used Fracta software along 300 000 km of pipes.
See case studies → San Francisco and Greater Johnstown Water Authority for more
information about NRW savings with Fracta .
✓ Reduce leakages and
breaks
✓ Plan and budget the
operations and
maintenance
✓ Targets the pipes that
need to be replaced only
and reduce NRW*.
Better Reactivity Less Time and Costs
*NRW: Non Revenue Water
7
Fracta model
Portion of pipe network %
10 90 100
20 30 40 50 60 70 80
Breaks
predicted
%
75
%
%
2018
2019
2020
2021
Customer 2
More data for better AI
Customer 1 Customer 3
15 years
break
history data
5 years
break
history data
10 years
break
history data
Fracta Global Algorithm
CS ML
Algorithm
CS ML
Algorithm
Age-based
model
Highest
risk pipe
tier
✓ Specific ML algorithm to deliver the most accurate solution, thus best value, for the following two years.
✓ Fracta model improves year to year.
Continuous improvement of Fracta ML Model
Network properties:
• Length: 500 km
• Average consumption: 24 605 m3/day
• Summer consumption: 38 000 m3/day
• End Customers: 21 000
8
Case study - Johnstown
Case study Greater Johnstown Water Authority
Results:
Within the first seven months of using Fracta,
GJWA was able to correctly identify 75% of
the hidden leaks in 15 pipe segments, saving
the utility 20% in Non-Revenue Water loss.
Access Fracta Application
9
Fracta Demo
10
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www.kurita.eu
This document is proprietary. Any kind of reproduction, change, transfer to a third party or disclosure of this document, even extracts, requires the prior written consent of Kurita Europe GmbH.
Contact information

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LEVERAGING ARTIFICIAL TECHNOLOGY FOR WATER NETWORK

  • 1. Fracta Bringing Artificial Intelligence and Machine Learning to Water Mains Condition Assessment September 12, 2022 Ömer Tekin – Data Scientist Lead (EU) 1
  • 2. 2 Fracta – 3-Step Implementation Process Break prediction mapping and visualization 3 Analysis using Fracta’s ML including all pipe, break, environmental and proprietary data 2 Collect pipe asset & failure data from utility* 1 Cleansing and rectifying data is done automatically by Fracta
  • 3. LoF determines the statistical probability that a water main will fail, leveraging existing data with hundreds of variables. 3 Fracta Features CoF determines the consequences, or severity, of the water main failure and quantifies the direct and indirect costs of those failures. Job Planner is the perfect tool for modelling the maintenance and operation costs on a specific area of the water network. Job Planner allows to schedule and follow-up the repairs as a project management tool. Likelihood of Failure (LoF) Consequence of Failure (CoF) Job Planner High LoF = High breaking probability High CoF = High € to replace Total Risk combines LoF and COF to determine if a pipe is worth replacing. High TR = High BP or € Total Risk Smart and digital solution which brings new value by predicting and preventing disruptive water leakages or network breaks in the water distribution
  • 4. Pipe Asset Data & Break history 4 Differences of Fracta AI Technology Fracta AI Technology Satellite-based Technology Fracta solution provides higher accuracy and useful predictions to plan ahead. <10 geospatial factors • Slope • Soil pH • Soil clay content • Max lift • Vegetation • Soil sand • Soil organic carbon 150 geographical factors Pipe Asset Data & Break history Global Machine learning data base (experience on more than 300,000 km pipe length) Satellite image Pipe Asset Data & Break history
  • 5. Easy and Flexible 5 Advantages of Fracta Constant Improvement Fast • No hardware need • Accept any format of pipes and break history data • Results come in after few hours • Results can be updated whenever desired • New features improvements regularly • AI & ML make the results accurate Fracta assesses the condition and risk of water mains and determines which pipes to replace (and which to not replace).
  • 6. Optimize CapEx 6 Benefits of Fracta Over 80 water utilities have used Fracta software along 300 000 km of pipes. See case studies → San Francisco and Greater Johnstown Water Authority for more information about NRW savings with Fracta . ✓ Reduce leakages and breaks ✓ Plan and budget the operations and maintenance ✓ Targets the pipes that need to be replaced only and reduce NRW*. Better Reactivity Less Time and Costs *NRW: Non Revenue Water
  • 7. 7 Fracta model Portion of pipe network % 10 90 100 20 30 40 50 60 70 80 Breaks predicted % 75 % % 2018 2019 2020 2021 Customer 2 More data for better AI Customer 1 Customer 3 15 years break history data 5 years break history data 10 years break history data Fracta Global Algorithm CS ML Algorithm CS ML Algorithm Age-based model Highest risk pipe tier ✓ Specific ML algorithm to deliver the most accurate solution, thus best value, for the following two years. ✓ Fracta model improves year to year. Continuous improvement of Fracta ML Model
  • 8. Network properties: • Length: 500 km • Average consumption: 24 605 m3/day • Summer consumption: 38 000 m3/day • End Customers: 21 000 8 Case study - Johnstown Case study Greater Johnstown Water Authority Results: Within the first seven months of using Fracta, GJWA was able to correctly identify 75% of the hidden leaks in 15 pipe segments, saving the utility 20% in Non-Revenue Water loss.
  • 10. 10 TWITTER Follow us LinkedIn Follow us YouTube Follow us www.kurita.eu This document is proprietary. Any kind of reproduction, change, transfer to a third party or disclosure of this document, even extracts, requires the prior written consent of Kurita Europe GmbH. Contact information