Overview
- Optimization of vehicle measurement data upload
- Efficient transmission path between the vehicle and the data backend
- Local processing steps in the vehicle described mathematically
Part of the book series: Wissenschaftliche Reihe Fahrzeugtechnik Universität Stuttgart (WRFUS)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (6 chapters)
Keywords
About this book
Lorenz Georg Görne presents a method (PrOComp) for optimal usage of the transmission path between the vehicle and the data backend. The compression ratio of vehicle measurement data could be improved from roughly a factor of ten in conventional methods, to up to 27. The method allows vehicle measurement data to be transmitted optimally in terms of data volume via the mobile internet and via traditional transmission routes.
Through the PrOComp method, real-time data analysis over the mobile internet is feasible, as well as the collection of big data in the field. This enables key features like predictive maintenance, reactive event evaluation (for example crash events) or fast generation of AI training data. Through the usage of standardized interfaces and data formats, PrOComp can be adapted to the needs of many industry branches that feature field data collection.
Authors and Affiliations
About the author
Lorenz Georg Görne is currently employed as a systems engineer at an automotive supplier. The focus of his work is steer-by-wire technology. He completed his doctorate in automotive mechatronics at the Institute of Automotive Engineering Stuttgart (IFS) at the University of Stuttgart.
Bibliographic Information
Book Title: Method for High-Efficiency Data Compression and Transmission of Vehicle Measurement Data Through Mobile Internet
Authors: Lorenz Georg Görne
Series Title: Wissenschaftliche Reihe Fahrzeugtechnik Universität Stuttgart
DOI: https://doi.org/10.1007/978-3-658-43799-2
Publisher: Springer Vieweg Wiesbaden
eBook Packages: Computer Science and Engineering (German Language)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Fachmedien Wiesbaden GmbH, part of Springer Nature 2024
Softcover ISBN: 978-3-658-43798-5Published: 30 December 2023
eBook ISBN: 978-3-658-43799-2Published: 29 December 2023
Series ISSN: 2567-0042
Series E-ISSN: 2567-0352
Edition Number: 1
Number of Pages: XXVII, 139
Number of Illustrations: 40 b/w illustrations
Topics: Automotive Engineering, Communications Engineering, Networks