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LED PEDD Discharge Photometry: Effects of Software Driven Measurements for Sensing Applications.

Cormac D Fay1, Andrew Nattestad2,3

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Summary
This summary is machine-generated.

Embedded software significantly impacts LED-based water turbidity measurements using the Paired Emitter Detector Diode (PEDD) technique. Optimized code drastically reduces measurement errors, improving sensor accuracy for water quality monitoring.

Keywords:
ISO 7027LEDNTUPEDDdischargephotometryqualitytimingturbiditywater

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Area of Science:

  • Electrical Engineering
  • Environmental Science
  • Sensor Technology

Background:

  • LEDs can function as photodetectors, enabling low-cost sensor development.
  • Water turbidity is a crucial parameter for assessing water quality.
  • Embedded software influences the accuracy of sensor measurements.

Purpose of the Study:

  • To investigate the impact of embedded software on LED-based turbidity measurements using the Paired Emitter Detector Diode (PEDD) technique.
  • To quantify the effects of different software implementations on measurement performance and accuracy.
  • To develop and validate optimized embedded code for improved PEDD measurements.

Main Methods:

  • Utilized a Light Emitting Diode (LED) as a photodetector for water turbidity sensing.
  • Employed the Paired Emitter Detector Diode (PEDD) capacitive discharge technique.
  • Compared various embedded software/firmware implementations and analyzed their effects on detection performance, sampling frequency, and photo capacitance.

Main Results:

  • Software implementation affected detection performance by up to 67%.
  • Variable sampling frequencies and photo capacitance disagreements up to 23% were observed with common software methods.
  • Optimized code reduced measurement disagreement from 23% to 0.18%.

Conclusions:

  • Embedded software is a critical factor in the accuracy of PEDD capacitive discharge measurements.
  • Careful consideration and optimization of embedded software are essential for reliable sensor-based water quality monitoring.
  • The developed optimized code significantly enhances the precision of turbidity measurements.