vMDFtools is a collection of command line tools for converting and transforming measurement data. It simplifies data handling between recording, analysis and further processing. This saves time and reduces complexity.
Highlights
- Analysis without database: Conversion to MF4 enables evaluation without DBC or ARXML
- Optimized data structure: Faster access through signal-based restructuring
- Flexible data processing: Merge, split and deanonymize measurement data
- Integration into development: Export to MATLAB, CSV or text for software tools
- Pipeline-ready: Designed for automated and highly parallel data processing
Main Application Areas
Measurement Data Conversion
Convert various logging formats into MF4 and other target formats for further processing.
Measurement Data Optimization
Restructure data signal-based for efficient analysis and improved tool performance.
Software Development
Use measurement data in development tools through export into standard formats.
Data Pipelines
Process large data volumes automatically and in parallel in modern data pipelines.
Supported Formats
Input formats
- MF4
- CANoe/CANalyzer: BLF, ASC, VideoSync
- Ethernet Logging: PCAP, PCAP NG
- G.I.N. Logger: CLF, GLX
- TTTech Logger: TTL
- Kvaser Logger: KME
Database formats
- DBC
- LDF
- FIBEX
- ARXML
Protocols
- J1939
- SOME/IP
- AUTOSAR PDU
- XCP
- CAN ISO-TP
MDF
- MDF Export: MATLAB, TXT, CSV, Excel
- MDF Import: TXT, CSV, ATFX, TDMS, GPS Logging,
- MDF Transformation: Split, Merge, De-anonymization (using A2L)
License for Data Pipelines
vMDFtools is designed to handle this scenario from a licensing perspective:
- Parameterization is performed via the command line.
- It can be run in Docker containers without any issues.
- The licensing model is based on pre-purchased processing quotas, which allows for easy scaling across multiple computing units and is independent of individual user licenses.
Product Descriptions
- Windows 11 (64-bit) or Windows Server 2022 or later
- Windows Docker
Related Products
Measurement and Calibration Team
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