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A Low-Cost, Low-Power Water Velocity Sensor Utilizing Acoustic Doppler Measurement.

Stephen CatsamasBaiqian ShiBoris DeleticMiao WangDavid T McCarthy
Published in: Sensors (Basel, Switzerland) (2022)
Current commercial sensors to monitor water flow velocities are expensive, bulky, and require significant effort to install. Low-cost sensors open the possibility of monitoring storm and waste water systems at a much greater spatial and temporal resolution without prohibitive costs and resource investment. To aid in this, this work developed a low-cost, low-power velocity sensor based on acoustic Doppler velocimetry. The sensor, costing less than 50 USD is open-source, open-hardware, compact, and easily interfaceable to a wide range of data-logging systems. A freely available sensor design at this price point does not currently exist, and its novelty is in enabling high-resolution real-time monitoring schemes. The design is capable of measuring water velocities up to 1200 mm/s. The sensor is characterised and then verified in an in-field long-term test. Finally, the data from this test are then used to evaluate the performance of the sensor in a real-world scenario. The analysis concludes that the sensor is capable of effectively measuring water velocity.
Keyphrases
  • low cost
  • blood flow
  • high resolution
  • minimally invasive
  • machine learning
  • heavy metals
  • artificial intelligence
  • data analysis
  • deep learning
  • municipal solid waste
  • life cycle