Peak Test Data Transfer Tool – Optimized Data Import using Source Processor Chain

The task of a modern test data management solution is to provide users with a wide variety of data from different measurement and simulation systems to optimally support the various test and validation processes in vehicle development. The raw data must be processed and saved in such a way that they can be used by the largest possible number of evaluation and analysis tools.

When importing data into the data storages (ASAM ODS data storages, native data bases, etc.), challenges arise due to the import process and quality of the data frequently. The files often lack in formal information such as descriptive data or units for the measured values. Sometimes deviations in the naming of attributes and channels exist between different import files, e.g. if they result from different test benches or automation systems.

Here the “Source Processor Chain” of the Peak Test Data Transfer Tool can be helpful. This new feature of the Peak Test Data Transfer Tool allows to register various plugins, which can process the data before it is written into a target system. Typical tasks which are resolved by available plugins are

• Cleaning of data, e.g. by harmonization of different naming´s, adding missing measuring units and others.


• Extraction of provider specific information, e.g. if different data providers use different strategies to provide meta data.


• Calculation of result values, e.g. from included values or channels. A standardized “calculation processor” allows the execution of the calculations based on Python scripts.


• Generation of new channels, e.g. based on the calculation of data within existing channels.

Many more tasks are thinkable - the plugin concept allows an easy extension. The picture below shows the plugin concept of the Peak Data Transfer Tool.

With the source processor chain of the Peak Test Data Transfer Tools Peak Solution provides a further building block empowering test and validation teams of various departments to set up integrated tool chains and achieve higher testing and validation efficiency, resulting in time and cost savings.