BLF and MF4 have different internal indexing structures. BLF stores data in a time-stamped stream. MF4 stores data in linked data blocks (DG, DT, CG). If you rename the file, analysis tools like MATLAB, NI Diadem, or Plotly will crash because they will attempt to parse BLF headers as MF4 blocks.
Converting BLF to MF4 is a standard workflow in automotive testing. While BLF is excellent for capturing data on Vector hardware, MF4 is the key to unlocking that data for the wider ecosystem of engineering tools.
def convert_blf_to_mf4(input_path, output_path): print(f"Loading input_path... (This may take a moment for large files)") try: # The 'new' part: MDF natively reads BLF extensions without specifying format mdf_obj = MDF(input_path) convert blf to mf4 new
is the successor based on the ASAM MDF 4.x standard . It is an open standard widely supported by various tools beyond just Vector. MF4 is designed for the modern era of "Big Data" in automotive testing. It supports:
If you want to convert BLF to MF4 using the latest technology, here are your best options. BLF and MF4 have different internal indexing structures
Note: The exact installation path varies based on your installed Vector suite version.
Automotive engineers and data analysts frequently need to to optimize their vehicle network development and data pipelines. While Vector's Binary Logging Format ( BLF ) is excellent for capturing real-time bus traffic (CAN, LIN, FlexRay, and Ethernet) in specialized test environments, the ASAM standard Measurement Data Format ( MF4 ) has emerged as the industry standard for cloud analysis, big data pipelines, and cross-platform machine learning. If you rename the file, analysis tools like
print(f"Successfully converted to output_mf4")
from asammdf import MDF def convert_blf_to_mf4(blf_path, mf4_path, dbc_paths=None): """ Converts a Vector BLF file to an ASAM MDF4 file. Parameters: blf_path (str): Path to the input .blf file. mf4_path (str): Path where the output .mf4 file will be saved. dbc_paths (list): Optional list of paths to .dbc files for signal decoding. """ print(f"Loading and converting blf_path...") # Extract data directly from BLF and initialize an MDF object # asammdf automatically parses CAN/LIN traffic from BLF formats mdf = MDF.concatenate([blf_path]) # Optional: Decode raw CAN IDs into physical values using DBC databases if dbc_paths: print("Decoding CAN signals with provided DBC files...") # Dictionary mapping the bus channel to the DBC file path # Example: 'CAN': [('vector_bus.dbc', 1)] dbc_dict = 'CAN': [(dbc, i) for i, dbc in enumerate(dbc_paths, start=1)] mdf = mdf.extract_bus_logging(database=dbc_dict) # Save as a standard, optimized MF4 file mdf.save(mf4_path, overwrite=True) print(f"Conversion complete! Saved to: mf4_path") # Example Usage if __name__ == "__main__": input_blf = "vehicle_test_log.blf" output_mf4 = "vehicle_test_log.mf4" network_db = ["powertrain.dbc", "body_control.dbc"] convert_blf_to_mf4(input_blf, output_mf4, dbc_paths=network_db) Use code with caution. Why this is the "New" Preferred Way