Design and Testing of a Self-Powered Wireless Hydrogen Sensing Platform Jerry Chun-Pai Jun, Jenshan Lin, Hung-Tan Wang Fan Ren, Stephen Pearton and Toshikazu Nishida University of Florida Motivation Behind a Self-Powered Wireless Hydrogen Sensing Platform • Popular topic due to need of inexpensive sensor devices requiring minimal maintenance to monitor harsh and dangerous environs. • Growing interest in hydrogen as a fuel cell, which is dangerous if not properly contained. • Combustion gas detection in Spacecrafts and ProtonExchange Membrane (PEM) Fuel Cells • Greater than 4% of hydrogen concentrations are explosive. Limitations Of Sensor Development • Limitations of Energy Harvesting Devices • Limitations of Low-Power and LowVoltage Commercial Components • Limitations of a Wireless System – Wireless Channel Estimation – FCC Regulations Energy Harvesting Techniques Solar Energy Harvesting • Solar Cells are a mature commercial Product • Dependent upon realtime lighting and temperature conditions • Pulse Resonant Power Converter – Self-powered and self controlled – Convert input voltage of 0.8-1.2V to steady 2V output Vibration Energy Harvesting • Collection of energy proportional to volume of device • Limited to magnitude and frequency of vibrations • For Proof of Concept – PSI D220-A4-203YB Double Quick Mounted Y-Pole PZT Device – Direct Charging Circuit Energy Harvesting Techniques cont. Solar Energy Harvesting Vibration Energy Harvesting IXOLAR XOD1704B Solar Cell Pulse Resonant Power Converter Functional Block Diagram (a) Bare die photo (b) Four mounted PSI D220-A4-203YB Double Quick Mounted Y-Pole Bender (a) Direct Charging Circuit (b) ZnO Nano-Rods as a Sensing Mechanism D S Al/Pt/Au ZnO M-NRs Al2O3 Substrate a) b) Schematic of Multiple ZnO Nano-Rods Close-Up of Packaged ZnO NanoRod Sensor • ZnO currently used for detection of humidity, UV light and gas detection • Easy to synthesize on a plethora of substrates • Bio-safe characteristics • Large chemically sensitive surface to volume ratio • If coated with Pt or Pd, can increase device’s sensitivity to hydrogen • High compatibility to microelectronic devices Pt-ZnO Nano-Rod Sensors • Sputtered with Pt coatings of approximately 10 Å in thickness • Show no response to the presence of O2 and N2 at room temperature • Pt increases conductivity of Nano-Rods • Up to 8% change in resistance after 10 min. exposure to 500 PPM of hydrogen • Greater than 2% change in resistance after 10 min exposure to 10 PPM of Pt-coated ZnO Nano-Rod - Relative hydrogen Resistance Change for Various • 90% recovery within 20 Hydrogen Concentrations seconds upon removal of hydrogen from the ambient Comparison of ZnO Nano-Rods Coated with Different Metals |Δ R|/R (%) 8 500ppm H2 Air Pt Pd Au Ag Ti Ni 6 4 2 0 0 5 10 15 20 25 30 Time(min) Relative Resistance Change for Various Metal-coated ZnO Nano-Rods Differential Measurement R3 R1 V1 Vs • Wheatstone Resistive Bridge Vg V2 R4 R2 – Can limit current consumption of resistive bridge – Best way to detect changes in resistance • Difference Amplifier R2 R3 R2 R3 – Using differential architecture of operational amplifier to subtract difference at input, and apply gain – Form of differential measurement Instrumentation Amplifier V1 R2 V3 R3 R1 Rg R1 V2 R2 V4 R3 2 R1 R 3 VOUT (V 2 V 1) 1 Rg R 2 • Provides High Impedance Input Buffers isolate V1 and V2 from resistive network of difference VOUT amplifier • Buffers and provides gain before difference amplifier • Gain can be easily adjusted by varying a single resistor, Rg. Differential Detection Circuit R2 + R3 R1 R Bias R Bias VDD GND VOUT + R1 Passivated ZnO Exposed ZnO RG - + R2 R3 GND • Since Pt-ZnO Nano-Rod devices react to both hydrogen and temperature, the use of a passivated ZnO as a reference resistor can mitigate the temperature dependency of the differential Detection Circuit. • Rbias used to limit current flowing into both legs of resistive bridge • Maintains concept of a differential measurement • Instrumentation Amplifier helps balance input offset voltages, while providing gain, and conditioning signal for ADC Fabricated Pt-ZnO Nano-Rod for Use in Differential Detection Circuit Resistance(ohms) ZnO with increase Pt catalyst 1580 1560 1540 1520 1500 1480 1460 1440 1420 1400 00 .75 .50 .25 .00 .75 .50 .25 .00 .75 .50 .33 .00 .83 .50 . 0 1 3 5 7 8 10 12 14 15 17 19 21 22 24 time(min) Fabricated Differential Detection Circuit Fabricated Differential Detection Circuit Output voltage vs sweep of exposed Pt-ZnO Nominal Resistance Output Voltage (mV) 400 300 200 100 0 1460 1480 1500 1520 Nominal Resistance (Ohms) 1540 1560 Microcontroller Selection Type of Program Memory Flash Program Memory 8 kB RAM 256 Bytes I/O Pins 22 pins ADC 10-bit SAR ( successive approximation register ) Interface 1 Hardware SPI or UART, Timer UART Supply Voltage Range 1.8 V – 3.6 V Active Mode 200uA @ 1 MHz, 2.2 Vsupply Standby Mode 0.7 uA # of Power Saving Modes 5 Features of Texas Instruments’ MSP430F1232IPW REQUIREMENTS • • • • • • • Low-Voltage Low-Active Current Low-Sleep Current Onboard Memory Onboard ADC Serial Output Reprogrammable Microcontroller Operation Level Monitoring State Machine • • • Runs through state until a discernable presence of hydrogen is detected. Once hydrogen is detected, microcontroller forces RF front-end to transmit an emergency pulse to the central monitoring station before returning back to an idle mode. Hydrogen threshold level is at far less than dangerous levels Data Transmission State Machine • • • • Runs through states until a discernable presence of hydrogen is detected. Once threshold is detected, the data from the ADC is queued onto the serial output port of the microcontroller to be transmitted. Once transmitted, state is reset to sleep For constant tracking of hydrogen levels Selection of a Modulation Technique -DQPSK 4 OOK Comparison of Complexity between π/4DQPSK and OOK • • • • • MODULATION REQUIREMENTS RF Power Amplifiers and Oscillators have efficiencies of 50% at best Low parts count Low Duty-Cycle, Low Data Rate. Expend energy only for transmission of Data Low complexity Selection of RF Transmitter (1) VDD GND Ming TX-99 Transmitter in OOK Mode Ming TX-99 Transmitter 300 MHz Ming TX-99 • Onboard antenna • OOK Modulation • Low Part Count • Low Complexity • Tunable Frequency • Colpitts Oscillator Selection of RF Receiver (1) Ming RE-99 Receiver Schematic Ming RE-99 Receiver 300 MHz Ming RE-99 • Onboard antenna • External Antenna Tap • Low Part Count • Low Complexity • Tunable Frequency • Envelope Detection • Little Documentation Receiver Atrium Atrium Hallway Transmitter Hallway 0.45 m 0.55 m Transmitter Distance Measurements Distance (m) 0m 3.5 m Layout of Testing Room Maximum Transmission Distances Distance (m) Received Power (dBm) 0 5 10 Test Setup 20 m 10 m 15 20 -35 Antenna Locations Maximum Distance Receiver Only 14.5 m -45 Transmitter Only 16.8 m -55 Transmitter & Receiver 19.4 m -65 -75 Received Power vs. Distance With Reference to Room Shape • • • • Shape of room resulted in a wave-guide effect at 10 meters Last successful data transfer occurred at 19.4 m Received power at this distance was approximately -70 dBm Can assume Ming RE-99 Receiver sensitivity is approximately -70 dBm Received Power at 1m Received Power at 8m Central Monitoring Station Moving Average Filter Example Labview Block Diagram Code and Labview Front Panel Gui • At the time, used Ming RE-99 Receiver • NI USB-6008 DAQ device for power to Receiver, and ADC to capture data • Powered from HP Laptop’s USB Port Running LabVIEW 7.1 • Moving Average Filter to differentiate data “pulse” from noise Full System Integration and Testing or Schematic of Hydrogen Chamber Schematic of Hydrogen Chamber Future Work: New Receiver System Level Architecture for RXM-315-LR Pin-Out of RXM-315-LR receiver, and receiver test board, shown with SPLATCH antenna Linx Technologies RXM315-LR • Replacement for Ming RE-99 since Rayming Corp. went out of business • OOK Modulation • Low Part Count • Low Complexity • RSSI/PDN • -112 dBm Sensitivity Future Work: Low-Profile Antenna ‘SPLATCH’ dimensions, matched Sparameters Antenna Test Board w/ Matching Circuit • Linx Technologies ANT315-SP ‘SPLATCH’ Style Antenna • Grounded Line, Microstrip Monopole Antenna • After matching, -9dB gain, trade off for lowprofile antenna • 5 MHz -10 dB BW, Center Frequency = 315 MHz Future Work: Minimum Redundancy Minimum Energy Coding • Source CODED – 1 “high” (Previous Work) CODED – 1 “high-delay” CODED -2 “high” 0000 000000000000000 000000000000000 00000 0001 000000000000001 000000000000001 00001 0010 000000000000010 00000000000001 00010 0011 000000000000100 0000000000001 01000 0100 000000000001000 000000000001 00100 0101 000000000010000 00000000001 00011 0110 000000000100000 0000000001 00101 0111 000000001000000 000000001 01010 1000 000000010000000 00000001 01000 1001 000000100000000 0000001 01001 1010 000001000000000 000001 10001 1011 000010000000000 00001 10010 1100 000100000000000 0001 00110 1101 001000000000000 001 01100 1110 010000000000000 01 10100 1111 100000000000000 1 11000 Proposed Source Coding Technique • Mapping (n) source bits to message with a maximum of 2, or 3 “high” bits – Example: 6 source bits 6 source bits = 64 messages (symbols)Find Codeword of length (m) that allow for 64 symbols, with a maximum of 3 high bits. – 64 = mC3 + mC2 + mC1 + mC0 ; m = 7 Power Reduction – Assumptions: for now, all source code symbols have equal probability of occurrences, and power is only consumed with the transmission of a high bit. – So, Power Consumption Reduction is: % PowerReduced • | # avgsourcehighbits # avgcodedhighbits | # avgsourcehighbits By using a minimum energy coding technique, we can expect to reduce the power required to transmit an un-coded message by 20 to 40 percent. g100 Minimum Redundancy Minimum Energy Coding (cont.) 90 Power Consumption Reduction per Additional Redundant Bit 3 high Percentage of Power Reduced per additional Redundant Bit 80 2 high 70 1 high 60 1 delay 50 40 30 20 10 0 3 4 5 6 7 8 Original Source Bit Length 9 10 Conclusions • Successfully designed a low-power sensor interface for the Pt-ZnO Nano-Rod hydrogen sensing mechanism • In conjunction with the microcontroller, RF transmitter, and separate energy harvesting techniques, were successful in detecting and reporting the presence of 500 PPM of H2 in N2. (.05%) using Pt-ZnO Nano-rods as our sensing mechanism • Energy harvesting techniques include solar and vibration energy devices.