Presentation on theme: "Stephen Copeland, Xau Moua, Joseph Lane, Robert Akerson Client: Doug Taylor, John Deere Renewables Advisors: Dr. Manimaran Govindarasu, Dr.Venkataramana."— Presentation transcript:
Stephen Copeland, Xau Moua, Joseph Lane, Robert Akerson Client: Doug Taylor, John Deere Renewables Advisors: Dr. Manimaran Govindarasu, Dr.Venkataramana Ajjarapu
Small scout towers capable of wirelessly transmitting measurements to large MET towers. Wireless communication via radio transceivers on scout tower and MET tower. Built-in mesh networking protocol
Microcontroller Arduino Runs programmed code to send and receive data on mesh network Wireless Shield Xbee Provides easy form of adapter from transceiver to arduino due to header misalignment.
Transceiver Xbee-PRO digimesh 900 Provides mesh protocol Transmits data to other node Antenna 7" ½ wave dipole, bulkhead mount, RPSMA connector Omni-directional transmission of data
Wind Vane NRG#200P Provides wind direction Angle from North=(360’/Vin)*Vout Vout ranging from 0 to Vin Anemometer NRG#40C Provides wind speed Generates a sine wave whose frequency determines wind speed
Used to transform the Sine wave output from the Anemometer into a square wave which provides the arduino with a frequency that represents the measured wind speed.
Scout Tower Code Reads the Voltage Signal at selected pins of the Arduino Aggregates data at a user specified interval Anemometer Output Signal Measures Pulse Width Converts Pulse Width to Wind Speed Sends Wind Speed to Serial Port
Central transceiver code Receives data from all other nodes in the mesh network Aggregates all of the data Prints new data set to a text file Reads Signal From Transceivers Sends Data To Computer Averages Wind Speed Data
Sensor Testing PCB Functionality Testing Range Evaluations ◦ Elevated testing locations north of Ames Power consumption ◦ Use of multi meters to measure current and voltage levels Microcontroller ◦ Basic data communication
Self Healing ◦ Selected modules turned off during transmission Security ◦ Encryption of data being transmitted Latency ◦ Receiving rate vs. data size Casing ◦ Shock, vibration, realistic impact, and contact with water, ice, and snow.
We connected the anemometer directly to an oscilloscope Signal amplitude and frequency increases as wind speed increases
We connected the wind vane to 5V power supply Oscilloscope gives output voltage over time Voltage varies as wind vane changes direction from 0 to 360 degrees
Able to obtain a sine wave from the anemometer Outputs a square wave with a frequency relative to the actual wind speed
Wind speed in mph Top node 1 Middle node 2 Both sampled and averaged every 10 seconds Bottom average of node 1 and 2 calculated every 10 seconds
Successful interfacing to the sensors and PCB for gathering of data Aggregation of data from sensors Storage of data as MPH in a text file from output
Found optimal frequency of our antennas to be marker 1 Freq= 896.247MHz marker 1 freq=896.2473 MHz dB(S(1,1))=13.97 marker 2 freq=1.8014 GHz dB(S(1,1))=13.66
We attached sensors to the roof of Coover Hall. Successful transmission of data to motors lab from two nodes on roof Simulated rugged terrain at Veenker golf course north of campus Achieved an approximate range of 0.8 Km between nodes.
Tested North of Ames on a flat gravel road Achieved an approximate range of 1.75Km
We spliced the USB cable between the device and PC Connected inner USB wiring to a multi meter Through the use of P=I*V we determined the required power to be around 0.5 Watts
Placement of four nodes at a certain distance preventing direct communication between first and last node Upon the removal of a middle node from the system the line of communication is not broken Receiving Node Node 1 Node 3 Node 2 User
128-bit encryption is incorporated in the protocol for the transceivers Client required only verification of encryption setting in transceivers
Node 1 sends current time to node 2 Node 2 computes difference from it’s current time Time Synchronized Node 1Node 2
Utilizes aggregated wind speed from the roof of Coover USB interface with transceiver and Desktop PC Uses Labview Software to run motor Motor is coupled to a wind turbine which simulates wind power generation.
Use of renewable energy power source (wind or solar) Integration of CFD into calculations for Wind Turbine project Addition of more sensors to device ◦ GPS units ◦ Temperature Sensors ◦ Barometers This would allow for better analysis of potential wind generation locations
Leland Harker, ISU Parts Shop Senior Design Team SD MAY11-01 Doug Taylor, John Deere Brad Luhrs & Bryan Burkhardt, DMACC Dr. Manimaran Govindarasu Dr. Venkataramana Ajjarapu
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