Method for High-Efficiency Data Compression and Transmission of Vehicle Measurement Data Through Mobile Internet (Wissenschaftliche Reihe Fahrzeugtechnik Universität Stuttgart) 1st ed. 2024 Edition

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Description

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.

Table of contents (6 chapters)
Front Matter
Pages I-XXVII

Introduction and Motivation for Mobile Data Transmission

Pages 1-13
Foundation and State-of-the-Art

Pages 15-41
Model of the Transmission Pipeline

Pages 43-62
Introduction of the PrOComp Method

Pages 63-85
Measurement Results and Validation of the Method

Pages 87-110
Discussion and Outlook

Pages 111-115
Back Matter
Pages 117-139

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