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Data Acquisition Real-Time System Integration DARSI

Data Acquisition Real-Time System Integration DARSI. Matt Hulse Preston Schipper Marc Kessler Chris Lites Andy Lin. Data Acquisition. What is Data Acquisition? Network of Sensors Central Collection Processing of Information Output. Our Data Acquisition System:

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Data Acquisition Real-Time System Integration DARSI

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  1. Data Acquisition Real-Time System Integration DARSI Matt Hulse Preston Schipper Marc Kessler Chris Lites Andy Lin

  2. Data Acquisition • What is Data Acquisition? • Network of Sensors • Central Collection • Processing of Information • Output • Our Data Acquisition System: • Application: CU FSAE race car • Design: Challenges, Solutions • Teamwork & Group Schedule • Impacts and Feasibility of DARSI after the CapStone expo. • Examples of Data Acquisition: • Anti-Lock Brakes • Airplane Black Boxes • Industrial Manufacturing • Central Processing Units

  3. What is Formula SAE? • Collegiate Design Series • Group of diverse engineering disciplines • World Wide Competition • Why FSAE needs DARSI • Objectives of DARSI • Gather • Process • Store • Present

  4. Implementation Challenges • High Temperatures • Signal Noise • Signal attenuation • Durability • Weather • Power Limitations • Packaging • Design Constraints • Storage • Time • Communication • Data Processing • Signal Acquisition

  5. Details of Project Processor Speed Sensor • Microchip – PIC18F258 • Fast – 40 MHz • Cost <$10 • Controller Area Network (CAN) • C Programmable • Hall Effect • Reliable • Implementation • Cost Linear Potentiometer Thermistor • Accuracy vs. Simplicity • Reliable • Implementation • Cost • Accurate/Precise • LVDT • Reliable • Uses • Cost

  6. Labor and Responsibilities • Responsibilities • Sensors • Main Processor • Pre Processors • Communication System

  7. Schedule

  8. What's after the expo? • Economics and Marketability • Broad consumer market • Fully customizable • State of the art • Manufacturability and Sustainability • Pre-manufactured and replaceable sensors • Modularity allows for adaptation • Simple expansion capabilities

  9. Impacts • Environment • Emissions • Fuel Economy • Safety • Acquired information allows for determining safe operating limits • Driver feedback to warn of dangerous conditions • Gathered information can be used for safety control systems • Society • Racers • Environmental • Applications in general consumer market

  10. Final Objective To design and construct a modular telemetric data acquisition system for automotive applications with a focus on the CU FSAE race car. Questions?

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