Accurate Technologies
Accurate Technologies

Non-MDF to MDF(4) Import Conversion into VDA 

24.05.03 09:40 AM By Steven

Converting different file extensions to MF4

The file extensions Measurement Data Format version 4 (MDF4), or in short, MF4 are used interchangeably in the context of data files. Principally MDF4 is an ASAM standard file format specifically designed for the automotive industry to handle a diverse range of data efficiently. As a compact binary format, MDF offers efficient and high-performance storage of huge amounts of measurement data.


The MDF file format allows storage of raw measurement values and corresponding conversion formulas; therefore, raw data can still be interpreted correctly and evaluated by post-processing tools, while the compressed file sizes facilitate easy sharing and collaboration.


MF4 is simply a file that follows the MDF4 standard, containing measurement data stored in accordance with the structure and conventions defined by the MDF4 format. This makes it fully compatible with software and tools that support this standard.

In the realm of data analysis and visualization, the ability to seamlessly convert various file formats into a standardized, easily accessible format is paramount. ATI’s VISION Data Analyzer (VDA) software, - part of the firm’s renowned VISION ecosystem - comprehensively supports MF4 files, plus offers a streamlined process for converting non-MDF files into the universally compatible MF4 format.


VDA easily facilitates the conversion or import of file types into the MF4 file format, enabling users to harness the power of their data without being constrained by incompatible files. This is accomplished by the ASCII Import Wizard which automatically starts when opening a TXT, CSV, or TSV file via the VDA "Open" command. The wizard initially displays data differently based on the file type. File types use different delimiters to separate fields, text, columns, etc.... The ASCII Import Wizard walks the user through setting the rows and columns to distinguish what data is the trace name, measurement units, timestamp, and recorded data points. Each step in the wizard asks for a specific row or column to be selected except for the first step of the import process.


For example, opening a 'TXT' file displays all information in the first column (below image). 


 


Defining a separator in the "Field Separator" drop-down separates data based on the defined separator character. The "<space>" separator is used in this example to yield an idea of how the wizard works (below image).




Files (MF4, REC, TXT, CSV, and TSV) may be extremely large and can be loaded into the VDA via multiple methods. MF4 files import directly, REC files import and convert to MF4, with TXT, CSV, and TSV files starting the ASCII Wizard in any of the following methods.


· Go to "File -> Open" and within the "Open" browser, locate and select a file.

· Double-click on a file in a browser window.

· Drag and drop a file from a browser window onto a VDA tab.


The process remains intuitive and accessible.


For VISION recorder (REC) files, VDA Software employs a sophisticated approach. Upon opening a REC file, VDA initiates a background process utilizing VISION to export the REC file into an MDF4 format. The resulting file is named according to the original REC file, ensuring seamless continuity in data management. For instance, opening a file named "Test.rec" would result in an MDF4 file named "Test-rec.mf4".


In scenarios where a related MDF file already exists for a REC file, VDA Software offers a seamless reimport process. Users are prompted for confirmation, enabling them to effortlessly overwrite existing MDF files or proceed with opening the existing MDF file, depending on their preferences.


In the ever-evolving landscape of data analysis, the ability to seamlessly convert non-MDF files into the standardized MF4 format is indispensable. VDA's intuitive file conversion process not only streamlines data management but also unlocks a world of possibilities for users, enabling them to delve deeper into their data with unparalleled ease and efficiency. 

Steven