Data collected from a solar car is monitored in real-time, which allows for intelligent decision making, efficient debugging, and high-quality testing for solar car teams. This paper compares three databases (MySQL, PostgreSQL, and MongoDB) to determine the optimal database system that should be used at solar car competitions. Each database system was tested using simulated solar car data to measure read and write speeds, and quality of performance on a low-power computer. Data were analyzed and displayed with custom interfaces to improve the user experience at solar car competitions.
M. Rouse et al., "Data Collection and Analysis Techniques for Solar Car Telemetry Data," Proceedings of the International Telemetering Conference (2019, Las Vegas, NV), vol. 55, pp. 622-630, International Foundation for Telemetering, Jan 2019.
2019 International Telemetering Conference (2019: Oct. 21-24, Las Vegas, NV)
Electrical and Computer Engineering
Keywords and Phrases
MongoDB; MySQL; PostgreSQL; Solar Car
International Standard Book Number (ISBN)
International Standard Serial Number (ISSN)
Article - Conference proceedings
© 2019 International Foundation for Telemetering, All rights reserved.
01 Jan 2019