insights from high-resolution pressure data
TRANSCRIPT
Insights from high-resolution pressure dataSmart Water 4 Europe
05 July 2017
This presentation.
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Overview
1. Introductions
2. Smart Water 4 Europe
3. Syrinix PipeMinder
4. Data and method
5. Transient ‘dictionary’
6. Classification
7. Wrap-up
About the project.
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Smart Water 4 Europe
• Collaborative EU project
• UK demonstration in Reading
• Vitens, ACCIONA Agua, LILLE 1
• 20 partners total
• UK focus on leakage, energy and
customer interaction
Syrinix PipeMinder devices.
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PipeMinder-S
• Battery powered (5 years)
• 128 samples/second
• Transmits significant events
• Compatible with pulse output flow
meters
• Display data on RADAR portal
• GPS for accurate positioning
• Other types
− PipeMinder-C (rising mains)
− PipeMinder-T (trunk mains)
What we get.
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Loads of time series data
• 17 PipeMinder-S devices
• 4 DMAs
• Jan 2016 – May 2017
− 10,572 transients
− 30,000 obs. per transient
− 316 million obs.
− 6.13 GB in CSVs
What we’ve done.
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Using R (free, open source):
• Scrape data via RADAR
• Pre-processing
• Resampling ^
• Similarity measure ^
• Clustering algorithms ^
• Classification ^
• Visualisation
• Reports/documentation
^ Parallelised
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How it’s used.
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Classification
• Focus on customer
• New transients are transmitted
by PipeMinder devices
• Pre-processing
• Distance to each cluster
calculated
• Assigned to ‘closest’ cluster:
− If meets a tolerance threshold
− Else it is ‘new’ and a point of
interest (POI)
Asset Time Estimate
xxxxxxxxx dd/mm/yy
hh:mm:ss
PRV on
xxxxxxxxx dd/mm/yy
hh:mm:ss
Booster
activation
xxxxxxxxx dd/mm/yy
hh:mm:ss
Unknown
?
Future potential.
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Opportunities
• Instrument a wider area
− More comprehensive
dictionary
• Confirmation
− Engineered scenarios
− Investigate POIs
• Show transients over network
map in a dashboard
• On board processing
− Saves radio use and battery
Wrapping up.
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In summary
• PipeMinder-S
• Desk-based analytics
• Insight and value
− Transient dictionary
− Classification
• Further opportunities
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