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: 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
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
Implementation Challenges High Temperatures Signal Noise Signal attenuation Durability Weather Power Limitations Packaging Design Constraints Storage Time Communication Data Processing Signal Acquisition
Details of Project ProcessorSpeed Sensor Linear Potentiometer Thermistor Microchip – PIC18F258 Fast – 40 MHz Cost <$10 Controller Area Network (CAN) C Programmable Accurate/Precise LVDT Reliable Uses Cost Hall Effect Reliable Implementation Cost Accuracy vs. Simplicity Reliable Implementation Cost
Labor and Responsibilities Responsibilities Sensors Main Processor Pre Processors Communication System
Schedule
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
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
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?