1 / 1

Acknowledgements

Project Motivation. Rice Atmospheric Information Network (RAIN). Joe Halbouty, Clay McPheeters, Genaro Picazo, Ed Rodriguez, Daniel Wu. The Transmitter. Assessment. Floods in Houston, other cities costly Current systems are expensive and don’t produce data in real-time

shiri
Download Presentation

Acknowledgements

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Project Motivation Rice Atmospheric Information Network (RAIN) Joe Halbouty, Clay McPheeters, Genaro Picazo, Ed Rodriguez, Daniel Wu The Transmitter Assessment • Floods in Houston, other cities costly • Current systems are expensive and • don’t produce data in real-time • RAIN sensor network: robust, real- • time, inexpensive, non-invasive, • scalable design • Designed to measure accurate meteo- • rological data, predict flooding, early • warnings for residents, businesses • Employs binary frequency shift key (FSK) transmiss- • ion scheme at 9 kHz and 11 kHz; others possible • Measurement and communication in same path • Power supply of 6V battery regulated to 5V • Comparator converts input of 0V or 5V to .8V or 1V • AD654 voltage-to-frequency chip produces FSK bits • Transmitter design is well-suited for data • collection and transmission (FSK) • Compact circuits keep node size small • Receiver DSP progress slow, but results • are accurate real-time calculations • Processing local data at nodes will • mitigate overhead of central processing • - Low-power equipment for efficient nodes • - Single node cost: probably < $400 System Design & Principles Assembled Transmitter Circuits Receiver TMS320F2812 DSP • Network of independent nodes: gather • local data, all compiled by central server • Dual laser use for optical detection and • communication: low power, overhead vs. • radio communication • Equipment cheap, standard: • laser-pointer, DSP vs. current RADAR Transmitter Circuit Schematics The Receiver • TI TMS320F2812 DSP: real-time calculations • Rainfall → scintillations in signal: sample @ 22 kHz, • calculate signal variance to measure rain rate • Bandpass filter around 1 kHz: remove low frequency • turbulence variations, well-defined data relationship 10 cm x 6 cm 13.5 cm x 7.5 cm Looking Ahead • Use DSP to solve for actual rain rate • Equip DSP with D/A: data transmission • Transmitter control: MSP430, GNOMES • Complete design of independent nodes • Networking: redundant, dense, efficient System operation block diagram: transmitter and receiver • - Each node has transmitter, receiver • - Rain disturbs transmitted signal • Received signal hits photodiode, output • to DSP for rain rate calculation • Rain data transmitted via network to • server access points DSP real-time calculated spectrum of -----10 kHz input square wave Acknowledgements Real-time spectra of filtered output on DSP • Constant K: relates laser data to a tipping bucket’s • data, calibrates computation of laser data • Spherical domain equation gives rain rate directly: • Profs. Young and Baraniuk, our advisors • Stephen So and Patrick Frantz, for their --extensive support with the F2812 board

More Related