Insights from high-resolution pressure data
Transcript of Insights from high-resolution pressure data
![Page 1: Insights from high-resolution pressure data](https://reader031.fdocuments.net/reader031/viewer/2022013015/61cfb750aef80339bd469cab/html5/thumbnails/1.jpg)
Insights from high-resolution pressure dataSmart Water 4 Europe
05 July 2017
![Page 2: Insights from high-resolution pressure data](https://reader031.fdocuments.net/reader031/viewer/2022013015/61cfb750aef80339bd469cab/html5/thumbnails/2.jpg)
This presentation.
2
Overview
1. Introductions
2. Smart Water 4 Europe
3. Syrinix PipeMinder
4. Data and method
5. Transient ‘dictionary’
6. Classification
7. Wrap-up
![Page 3: Insights from high-resolution pressure data](https://reader031.fdocuments.net/reader031/viewer/2022013015/61cfb750aef80339bd469cab/html5/thumbnails/3.jpg)
About the project.
3
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
![Page 4: Insights from high-resolution pressure data](https://reader031.fdocuments.net/reader031/viewer/2022013015/61cfb750aef80339bd469cab/html5/thumbnails/4.jpg)
Syrinix PipeMinder devices.
4
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)
![Page 5: Insights from high-resolution pressure data](https://reader031.fdocuments.net/reader031/viewer/2022013015/61cfb750aef80339bd469cab/html5/thumbnails/5.jpg)
What we get.
5
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
![Page 6: Insights from high-resolution pressure data](https://reader031.fdocuments.net/reader031/viewer/2022013015/61cfb750aef80339bd469cab/html5/thumbnails/6.jpg)
What we’ve done.
6
Using R (free, open source):
• Scrape data via RADAR
• Pre-processing
• Resampling ^
• Similarity measure ^
• Clustering algorithms ^
• Classification ^
• Visualisation
• Reports/documentation
^ Parallelised
![Page 7: Insights from high-resolution pressure data](https://reader031.fdocuments.net/reader031/viewer/2022013015/61cfb750aef80339bd469cab/html5/thumbnails/7.jpg)
7
![Page 8: Insights from high-resolution pressure data](https://reader031.fdocuments.net/reader031/viewer/2022013015/61cfb750aef80339bd469cab/html5/thumbnails/8.jpg)
How it’s used.
8
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
?
![Page 9: Insights from high-resolution pressure data](https://reader031.fdocuments.net/reader031/viewer/2022013015/61cfb750aef80339bd469cab/html5/thumbnails/9.jpg)
Future potential.
9
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
![Page 10: Insights from high-resolution pressure data](https://reader031.fdocuments.net/reader031/viewer/2022013015/61cfb750aef80339bd469cab/html5/thumbnails/10.jpg)
Wrapping up.
10
In summary
• PipeMinder-S
• Desk-based analytics
• Insight and value
− Transient dictionary
− Classification
• Further opportunities
![Page 11: Insights from high-resolution pressure data](https://reader031.fdocuments.net/reader031/viewer/2022013015/61cfb750aef80339bd469cab/html5/thumbnails/11.jpg)
11