The MF4 standard natively supports LZMA and ZIP compression algorithms within the file structure itself. Converting older or raw bus logging formats to MF4 often significantly reduces the storage footprint on local servers and cloud storage.
This comprehensive guide covers the latest, most efficient methods to convert BLF to MF4 using GUI tools, command-line interfaces, and automation scripts. Why Convert BLF to MF4?
BLF (Binary Logging Format) and MF4 (ASAM MDF 4) are file formats used to store recorded measurement and logging data—commonly from vehicle networks like CAN, LIN, or FlexRay. Moving from BLF to MF4 is about translating raw, often vendor-specific binary dumps into a standardized, feature-rich container that plays nicely with modern analysis tools. convert blf to mf4 new
for channel_name in blf_dataframe: try: new_signal = asammdf.Signal( samples=blf_dataframe[channel_name], timestamps=blf_dataframe.index, name=channel_name, ) mdf.append(new_signal, common_timebase=True) except: # 跳过可能引发错误的特殊信号 pass
This script uses the python-can library to read the BLF and asammdf to write the MF4: The MF4 standard natively supports LZMA and ZIP
To help me tailor any specific automation code or workflows for you, tell me:
rexdesk convert-folder -F mf4 -I "C:\path\to\blf\folder" -O "C:\path\to\mf4\output" Why Convert BLF to MF4
For organizations managing petabytes of fleet data, individual file conversions are impractical. Enterprise data management systems (such as NI SystemLink, Vector Team360, or custom AWS/Azure cloud pipelines) utilize microservices to automatically detect incoming .blf uploads from test vehicles, spin up headless Docker containers, and convert them to .mf4 before saving them to data lakes. Critical Challenges During Conversion
Metadata Format 4 (MF4) is a metadata-based data format used to store and exchange data in various applications, including smart home automation, IoT devices, and industrial automation. MF4 is designed to provide a flexible, scalable, and compatible data format that can adapt to changing data requirements. MF4 files contain a sequence of metadata elements, each describing a specific data point or event. The format offers several benefits, including:
This guide converts BLF (Vector Binary Logging Format) files to MF4 (ASAM MDF version 4) files using common tools and a Python-based approach. Assumptions: you have a BLF file containing CAN/CAN-FD traces and want a lossless conversion preserving timestamps, channels, and CAN frame data.
is a proprietary format developed by Vector Informatik. It is highly optimized for logging bus data (CAN, CAN FD, LIN, FlexRay, Ethernet) during test drives or bench tests.