THE TRANSFORMATIVE SOLUTION
Fractal's DataLogger decodes physical streams for actionable insights By decoding signal data into physical streams, Fractal's Datalogger offers engineers insights into vehicle health, driver behavior, necessary pre-production corrections, and preemptive measures for electric vehicles, such as battery health assessments. This is achieved through a logical, nine-step process:
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MVP Development & Signal Conversion Input: Test data from CAN Bus, several measurement data files. Process: Initial conversion of signals from CAN Bus
Deep Dive into Communication Protocols & Signal Recording Input: Raw data (ECU communications, Binary Data formats, protocols, reference AutoSAR XML files) Process: Thorough analysis of core communication protocols
Data Ingestion & Initial Processing Input: Terabytes of vehicle test data Process: Preliminary dry runs & preparation for extensive I/O operations
Big Data Integration and Auto-Scaling Input: Varying incoming data Process: Integration with Big Data tools; auto-scaling based on data load
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