Abstract
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.
Recommended Citation
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, Oct 2019.
Meeting Name
2019 International Telemetering Conference (2019: Oct. 21-24, Las Vegas, NV)
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
MongoDB; MySQL; PostgreSQL; Solar Car
International Standard Book Number (ISBN)
978-171380188-7
International Standard Serial Number (ISSN)
0884-5123
Document Type
Article - Conference proceedings
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2019 International Foundation for Telemetering, All rights reserved.
Publication Date
24 Oct 2019
Telemetry Learning Center Missouri S&T, 26 May 2021
