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Smart Water Meter Using Electrical Resistance Tomography.

Chenning Wu1,2, Martin Hutton3, Manuchehr Soleimani4

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This study introduces electrical resistance tomography for smart wastewater metering in large sewer pipes. The developed sensor accurately measures flow rates and materials, improving sewer system management.

Keywords:
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Area of Science:

  • Engineering
  • Environmental Science
  • Sensor Technology

Background:

  • Sewer system management relies on accurate flow monitoring.
  • Obstructions in discharge pipes cause significant costs.
  • Existing methods may lack precision for complex wastewater characteristics.

Purpose of the Study:

  • To develop an embedded sensor for smart wastewater metering using electrical resistance tomography.
  • To measure flow rates and constituent materials in large-diameter discharge pipes (>250 mm).
  • To provide a cost-effective solution for real-time sewer flow monitoring.

Main Methods:

  • Designed bespoke electronics hardware and signal processing for an embedded sensor.
  • Utilized electrical resistance tomography (ERT) modality.
  • Implemented an analogue signal conditioning module and zero-cross switching scheme with a real-time operating system.

Main Results:

  • Achieved a data acquisition speed of 14 frames per second (fps).
  • Maintained an overall signal-to-noise ratio of at least 59.54 dB.
  • Demonstrated high resolution (0.04% sample size) and successful capture of dynamic movements.

Conclusions:

  • The developed ERT sensor is effective for smart wastewater metering in large pipes.
  • The system offers real-time measurement capabilities with high accuracy and resolution.
  • This technology can enhance sewer system management by detecting flow properties and obstructions.