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Clean H2O

Clean H2O. Team Advisor: Professor Marinos Vouvakis Douglas Imbier EE Team Leader wireless, sensors Edmons Zongo EE Treasurer display, sensors Nicholas Ferrero EE Website Admin power & matlab Matthew Picard EE Purchaser memory, sensors.

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Clean H2O

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  1. Clean H2O Team Advisor: Professor Marinos Vouvakis Douglas Imbier EE Team Leader wireless, sensors Edmons Zongo EE Treasurer display, sensors Nicholas Ferrero EE Website Admin power & matlab Matthew Picard EE Purchaser memory, sensors

  2. Agenda • Objective • MDR overview • Current design • Future work • Look back

  3. Project Objective Society Need • Need for water quality measuring for under developed countries Engineering Need • Handheld device that will display real-time measurements (pH, salinity, temperature) of a liquid • Wireless transmission using Bluetooth technology

  4. Existing Alternatives • Expensive • Individual sensing devices • Integrated devices but for expert / industrial use • High cost / lead to rentals

  5. Proposed Design Features • Must be more affordable than current designs (≈$300). • Must be portable handheld device. • Must accurately measure pH, salinity, temperature. • Must include real-time display & wireless data transmission (see below) • Must have data log and rudimentary processing capabilities (off-board).

  6. Design Choice (BlueTooth + Computer) GGGGGGGGG MMMMMM Blue Tooth

  7. Block Diagram

  8. Why this design choice? • Arduino RBBB development board: multiple I/Os, easier software development, reliable. • Nokia 6100 LCD display: real-time measurements, color, cheap, low power. • BlueSmirf Gold Bluetooth: reliable, range ≈100m. • Vernier temperature probe, ph and salinity sensors: accurate, cheap.

  9. MDR progress snapshot • Arduino board wired and programmed. • Used potentiometers to simulate sensors. • Sensors, Display, blueTooth purchased. • Used LED to represent readings.

  10. Current Design • Finalized design decisions • Display, memory, streaming vs. real time, on/off switches, LED lights, sampling rate, power consumption • LCD integration • Sensor integration • Establish bluetooth connection with PC

  11. Current Design prototype Sensors Sensor Connectors Arduino Display BlueTooth

  12. On Sensor precision • Temperature sensor response. • pH & salinity are linear functions Linear line has a temp range of: -10 – 80C

  13. Sensing Duration vs Sensing Sample Rate • Constrain: No external memory used. • Constrain: Federal regulations require public drinking supplies to be tested every 4 hours. • With given memory size, sample rate will determine how long we can store data. • Utilize Arduino built in memory • 14KB(total) – 8KB(software) = 6KB(left for storage) • 6000bytes/12bytes(data) = 500(samples)

  14. Sensing Duration vs Sensing Sample Rate (cont’d)

  15. On Power Consumption (Measurements)

  16. On Power Consumption (Battery Life) • Not long enough to leave sitting for a while… • Solution?

  17. On Power Consumption (Battery Life, cont’d) 9V AAA AA C D Lithium Ion

  18. Power Senario • Arduino and Sensors on all day. • 66.972mAh x 24 hours = 1607.328 mA per day. • Display put on for 1 hour every day. • 70.7mAh x 1 hour = 70.7mA per day. • Bluetooth turned on for 5 minutes every 2 weeks. • 32.588mAh x 0.001 hour = 0.001 mA per day. • Total current used per day = 1694.322 mA. • Using 1 D batterylast 1 week (conservative). • Using 2 D batterieslast 2 week (conservative).

  19. Vision of handheld device

  20. Recap (Accomplishments) • Integrate multiple sensors • Integrate LCD display with Arduino • Integrate Wireless connection (need more work) • Stay below budget (parts break!!)

  21. Future work • Finish Bluetooth • Quantify accuracy • Printed Circuit Board • Matlab rudimentary processing • Case design

  22. Demo Day Deliverables Hardware: • Integrated handheld device • Wireless connectivity Software: • Data logging using Matlab • Arduino programmed using C Suggested Demo: • Show functionality by testing controlled samples

  23. Design Costs

  24. Gantt Chart

  25. Q & A Thank You!

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