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Shazam that water leak!
Sensors and faults
Contact: l.alfonso@unesco-ihe.org
Solomon Seyoum Ad Groenewegen
Leonardo Alfonso Joanne Craven
Schalk Jan van Andel Sandra de Vries
Nick van de Giesen
Some facts on household’s
leaks (US)
• Average household leak loss: 35,000 L/year
– More than 11 million households worth (over the whole USA)
• 10% of homes have leaks that waste more than
124,000 L/year (340L/day)
• Fixing easily corrected household water leaks can
save homeowners about 10% on their water bills
Source: EPA website
Objective
• To develop an automatic leak detection
method for households, including:
– a new, low cost, easy to install acoustic
sensor, capable to continuously record
pipe vibrations and send data to a server
– an acoustic detection software based on
audio fingerprinting, to analyse the data
sent to the server
Lab setup Prototype
sensors
Acoustic sensor
Audio fingerprinting software
Sensor
Internet
Household
Suspicious	
signal? NoYes
Fingerprint
Database
Server
Possible	leakage
Database
Report	
possible	
leackage
Fingerprinting	
software
end
Example: Shazam App
ALD software
• Feed mode
– The ALD software creates fingerprints of
each sound recording and build database
• Detection mode
– Once the database is complete, ALD is like
Shazam: listen to new recordings, check if
they exist in database and retrieve message
Water
meter
To demand points
Sensor
Connection
Sensor
Internet
Household
Suspicious	
signal? NoYes
Fingerprint
Database
Server
Possible	leakage
Database
Report	
possible	
leackage
Fingerprinting	
software
end
Dr. Solomon Seyoum
testing sensor at a
household meter
Silence
Shower
Shower+ Kitchen
Kitchen only
Experiments
House 1 House 2
Number of 30 sec
files
3800+ files (every 5, 10 or 30
mins)
1700+ files (every 5 or 10
mins)
Appliances Toilet
Kitchen tap
Bath tap
Shower
Washing machine
Dishwasher
+
Toilet 2
Garden tap
N/A
Issues • Sensor regularly offline
• Loose cables, not detecting
• Solved: sensor always
online
• But: SD card fills fast
0
10
20
30
40
50
60
23 24 25 26 27 28 29 30 31 01 02 03 04
05 06
Number	of	analysed	audio	recordings
Day	(above)	and	Month	(below)
DETECTION	-	Found FEED	-	Found FEED	-	Not	Found	and	Inserted
Feed vs detection House 1
Feed vs detection House 2
0
2
4
6
8
10
12
Recorded water use
Bathtub Dishwasher Shower
Shower ShowerTapKitchen ShowerToilet
TapDishwasher TapKitchen TapToilet
TapToiletTapKitchen Toilet WashingMachine
0
2
4
6
8
10
12
Detection mode - 15 seconds analysis
Bathtub Dishwasher Shower
ShowerTapKitchen ShowerToilet TapDishwasher
TapKitchen TapToilet TapToiletTapKitchen
Toilet WashingMachine
Conclusions
• Automatic leak detection method for
households has been developed
• Results show sensor can “learn” how a
pipe normally sounds and detect
anomalies (potential leaks)
– Further testing required for sensor location
and false alarms
• Not conclusive if sensor can distinguish
water uses
Thank you for your attention
Any questions?
Opportunities
• Market opportunities
– Categorisation of domestic water use
– Survelliance of water systems
• Aquaseca: 1-year old company doing
the same
@WATERNOMICS_EU www.waternomics.eu18
waternomics.eu @waternomics_eu
@WATERNOMICS_EU www.waternomics.eu19
This project has received funding from the European Union’s
Seventh Framework Programme for research, technological
development and demonstration under grant agreement no
619660.
waternomics.eu @waternomics_eu
This project is member of and

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Shazam that water leak! Sensors and faults

  • 1. Shazam that water leak! Sensors and faults Contact: l.alfonso@unesco-ihe.org Solomon Seyoum Ad Groenewegen Leonardo Alfonso Joanne Craven Schalk Jan van Andel Sandra de Vries Nick van de Giesen
  • 2. Some facts on household’s leaks (US) • Average household leak loss: 35,000 L/year – More than 11 million households worth (over the whole USA) • 10% of homes have leaks that waste more than 124,000 L/year (340L/day) • Fixing easily corrected household water leaks can save homeowners about 10% on their water bills Source: EPA website
  • 3. Objective • To develop an automatic leak detection method for households, including: – a new, low cost, easy to install acoustic sensor, capable to continuously record pipe vibrations and send data to a server – an acoustic detection software based on audio fingerprinting, to analyse the data sent to the server
  • 5. Audio fingerprinting software Sensor Internet Household Suspicious signal? NoYes Fingerprint Database Server Possible leakage Database Report possible leackage Fingerprinting software end Example: Shazam App
  • 6. ALD software • Feed mode – The ALD software creates fingerprints of each sound recording and build database • Detection mode – Once the database is complete, ALD is like Shazam: listen to new recordings, check if they exist in database and retrieve message
  • 7. Water meter To demand points Sensor Connection Sensor Internet Household Suspicious signal? NoYes Fingerprint Database Server Possible leakage Database Report possible leackage Fingerprinting software end
  • 8. Dr. Solomon Seyoum testing sensor at a household meter
  • 10. Experiments House 1 House 2 Number of 30 sec files 3800+ files (every 5, 10 or 30 mins) 1700+ files (every 5 or 10 mins) Appliances Toilet Kitchen tap Bath tap Shower Washing machine Dishwasher + Toilet 2 Garden tap N/A Issues • Sensor regularly offline • Loose cables, not detecting • Solved: sensor always online • But: SD card fills fast
  • 11. 0 10 20 30 40 50 60 23 24 25 26 27 28 29 30 31 01 02 03 04 05 06 Number of analysed audio recordings Day (above) and Month (below) DETECTION - Found FEED - Found FEED - Not Found and Inserted Feed vs detection House 1
  • 12. Feed vs detection House 2
  • 13. 0 2 4 6 8 10 12 Recorded water use Bathtub Dishwasher Shower Shower ShowerTapKitchen ShowerToilet TapDishwasher TapKitchen TapToilet TapToiletTapKitchen Toilet WashingMachine
  • 14. 0 2 4 6 8 10 12 Detection mode - 15 seconds analysis Bathtub Dishwasher Shower ShowerTapKitchen ShowerToilet TapDishwasher TapKitchen TapToilet TapToiletTapKitchen Toilet WashingMachine
  • 15. Conclusions • Automatic leak detection method for households has been developed • Results show sensor can “learn” how a pipe normally sounds and detect anomalies (potential leaks) – Further testing required for sensor location and false alarms • Not conclusive if sensor can distinguish water uses
  • 16. Thank you for your attention Any questions?
  • 17. Opportunities • Market opportunities – Categorisation of domestic water use – Survelliance of water systems • Aquaseca: 1-year old company doing the same
  • 19. @WATERNOMICS_EU www.waternomics.eu19 This project has received funding from the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement no 619660. waternomics.eu @waternomics_eu This project is member of and