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Shazam that water leak! Sensors and faults

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This is a presentation made by Joanne Craven at the Waternomics final event on 31/01/2017 for sharing the project contribution in terms of leak detection software and hardware.

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Shazam that water leak! Sensors and faults

  1. 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. 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. 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
  4. 4. Lab setup Prototype sensors Acoustic sensor
  5. 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. 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. 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. 8. Dr. Solomon Seyoum testing sensor at a household meter
  9. 9. Silence Shower Shower+ Kitchen Kitchen only
  10. 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. 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. 12. Feed vs detection House 2
  13. 13. 0 2 4 6 8 10 12 Recorded water use Bathtub Dishwasher Shower Shower ShowerTapKitchen ShowerToilet TapDishwasher TapKitchen TapToilet TapToiletTapKitchen Toilet WashingMachine
  14. 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. 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. 16. Thank you for your attention Any questions?
  17. 17. Opportunities • Market opportunities – Categorisation of domestic water use – Survelliance of water systems • Aquaseca: 1-year old company doing the same
  18. 18. @WATERNOMICS_EU www.waternomics.eu18 waternomics.eu @waternomics_eu
  19. 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

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